CN118928131A - Charging pile charging power determination method, device and electronic equipment - Google Patents

Charging pile charging power determination method, device and electronic equipment Download PDF

Info

Publication number
CN118928131A
CN118928131A CN202411294990.4A CN202411294990A CN118928131A CN 118928131 A CN118928131 A CN 118928131A CN 202411294990 A CN202411294990 A CN 202411294990A CN 118928131 A CN118928131 A CN 118928131A
Authority
CN
China
Prior art keywords
charging
power
curve
piles
pile
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202411294990.4A
Other languages
Chinese (zh)
Inventor
刘祥璐
王大为
王立永
张宝群
孙舟
陈振
袁小溪
李卓群
万怿
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Beijing Electric Power Co Ltd
State Grid Corp of China SGCC
Original Assignee
State Grid Beijing Electric Power Co Ltd
State Grid Corp of China SGCC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Beijing Electric Power Co Ltd, State Grid Corp of China SGCC filed Critical State Grid Beijing Electric Power Co Ltd
Priority to CN202411294990.4A priority Critical patent/CN118928131A/en
Publication of CN118928131A publication Critical patent/CN118928131A/en
Pending legal-status Critical Current

Links

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/67—Controlling two or more charging stations

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a charging pile charging power determining method and device and electronic equipment. Wherein the method comprises the following steps: determining a charging safety threshold curve corresponding to the preset platform area based on a charging scene of the preset platform area; determining a charging margin curve according to the charging safety threshold curve and the load prediction curve; determining a charging pile power setting function and constraint conditions corresponding to the charging pile power setting function according to a charging margin curve, wherein the constraint conditions comprise a charging power constraint condition and a charging electric quantity constraint condition; and solving a charging pile power setting function under the constraint condition to obtain power values corresponding to the charging piles respectively for each charging moment. The invention solves the technical problem that the power between the charging pile and other devices in the preset area is difficult to balance in the related art.

Description

Charging pile charging power determining method and device and electronic equipment
Technical Field
The invention relates to the field of data processing, in particular to a charging pile charging power determining method and device and electronic equipment.
Background
With the large-scale development of electric vehicles, a large number of electric vehicles are connected into a platform area, but in the existing platform area, particularly in a dense urban area, the existing power equipment in the platform area can be difficult to support such large-scale charging piles to perform grid-connected operation at the same time, and the corresponding upgrading and capacity expansion difficulties are large and the investment is huge. In addition, the electric automobile charging has intermittence and irregularity, if the electric automobile charging is not controlled effectively, sudden and concentrated charging load is overlapped with the conventional electricity consumption peak of the power grid, the problems of voltage and frequency fluctuation and the like are easily caused, and large-area power failure can be caused when the electric automobile charging is serious.
In the related art, the matching of the charging requirement of the user and the ordered charging aiming at the district scene with the existing power equipment load is not considered, and the problem that the power between the charging piles and other equipment in the preset district is difficult to balance exists.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the invention provides a charging pile charging power determining method, a charging pile charging power determining device and electronic equipment, which are used for at least solving the technical problem that power between a charging pile and other equipment in a preset area is difficult to balance in the related art.
According to an aspect of the embodiment of the present invention, there is provided a charging power determining method of a charging pile, including: determining a charging safety threshold curve corresponding to a preset platform area based on a charging scene of the preset platform area, wherein the preset platform area comprises a plurality of charging piles, the charging safety threshold curve is expressed as a curve of charging safety power thresholds corresponding to the plurality of charging piles at each charging moment, and the charging piles are in use; determining a charging margin curve according to the charging safety threshold curve and a load prediction curve, wherein the load prediction curve is a power prediction curve of loads required by other loads except for charging piles in the preset platform area for each charging moment, and the charging margin curve is expressed as a curve of power which can be scheduled by using the charging piles in total for each charging moment; determining a charging pile power setting function and constraint conditions corresponding to the charging pile power setting function according to the charging margin curve, wherein the constraint conditions comprise a charging power constraint condition and a charging electric quantity constraint condition, the charging power constraint condition is a condition that for each charging moment point, the sum of charging powers of the plurality of charging piles is smaller than or equal to a corresponding charging margin, the charging electric quantity constraint condition is a condition that for each charging pile, the sum of accumulated charging electric quantity of a charging time period is smaller than or equal to a condition of distributing charging electric quantity of the corresponding charging pile in the charging time period, and the charging pile power setting function aims at the highest power utilization rate; and solving the power setting function of the charging piles under the constraint condition to obtain power values corresponding to the plurality of charging piles respectively for each charging moment.
Optionally, determining a charging pile power setting function and a constraint condition corresponding to the charging pile power setting function according to the charging margin curve includes: determining a charging demand parameter, wherein the charging demand parameter comprises a demand index corresponding to each of the plurality of charging piles; setting the distributed charging electric quantity of the corresponding charging pile in the charging time period according to the charging demand parameters and the charging margin curve; and determining the constraint condition of the charging electric quantity according to the distributed charging electric quantity of the corresponding charging pile in the charging time period.
Optionally, solving the charging pile power setting function under the constraint condition to obtain a power value corresponding to the charging pile for each charging time point, where after using the power value corresponding to the charging pile includes: determining whether the power values respectively corresponding to the plurality of charging piles meet the corresponding charging requirements in the preset area; under the condition that the charging pile which cannot meet the charging requirement exists in the result, determining a corresponding required power value for each charging moment; determining whether an adjusting result of the adjustable load exists according to the load prediction curve; and under the condition that the adjustable load exists as a result of the adjustment, obtaining an updated load curve according to the corresponding required power value for each charging moment, so as to determine the updated power values respectively corresponding to the plurality of charging piles for each charging moment by using the updated load curve.
Optionally, solving the charging pile power setting function under the constraint condition to obtain a power value corresponding to the charging pile for each charging time point, and then further including: and controlling the plurality of charging piles to be used in the preset area at corresponding charging time points, and setting according to corresponding power values.
Optionally, the method further comprises: and when the charging piles with changed use states exist in the preset area, the plurality of charging piles are changed.
Optionally, solving the charging pile power setting function under the constraint condition to obtain a power value corresponding to the charging pile for each charging time point, including: and solving the power setting function of the charging pile under the constraint condition through an integer programming algorithm to obtain power values corresponding to the plurality of charging piles respectively for each charging moment.
According to an aspect of an embodiment of the present invention, there is provided a charging pile charging power determining apparatus including: the first determining module is used for determining a charging safety threshold curve corresponding to a preset platform area based on a charging scene of the preset platform area, wherein the preset platform area comprises a plurality of charging piles, the charging safety threshold curve is represented as a curve of charging safety power thresholds corresponding to the plurality of charging piles at each charging moment, and the charging piles are in use; a second determining module, configured to determine a charging margin curve according to the charging safety threshold curve and a load prediction curve, where the load prediction curve is a power prediction curve of a load required by other loads than the charging pile in the predetermined area for each charging time point, and the charging margin curve is represented as a curve of a total of power that can be scheduled using the charging pile for each charging time point; a third determining module, configured to determine a charging pile power setting function according to the charging margin curve, and a constraint condition corresponding to the charging pile power setting function, where the constraint condition includes a charging power constraint condition, the charging power constraint condition is a condition that, for each charging time point, a sum of charging powers of the plurality of charging piles is less than or equal to a corresponding charging margin, the charging power constraint condition is a condition that, for each charging pile, a sum of accumulated charging powers of a charging period is less than or equal to a condition of an allocated charging power of the corresponding charging pile in the charging period, and the charging pile power setting function targets a power utilization rate highest; and the fourth determining module is used for solving the power setting function of the charging piles under the constraint condition to obtain power values corresponding to the plurality of charging piles respectively for each charging moment.
According to an aspect of an embodiment of the present invention, there is provided an electronic apparatus including: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the charging pile charging power determination method of any one of the above.
According to an aspect of an embodiment of the present invention, there is provided a computer-readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform any one of the above-described charging pile charging power determination methods.
According to an aspect of an embodiment of the present invention, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the steps of the charging pile charging power determination method of any one of the above.
In the embodiment of the invention, a charging safety threshold curve corresponding to a preset platform area is determined based on a charging scene of the preset platform area, wherein the preset platform area comprises a plurality of charging piles, the charging safety threshold curve is represented as a curve of a charging safety power threshold corresponding to the plurality of charging piles at each charging moment, and the charging piles are in use. And determining a charging margin curve according to the charging safety threshold curve and the load prediction curve, wherein the load prediction curve is a power prediction curve of loads required by other loads except the charging piles in a preset platform area for each charging moment, and the charging margin curve is expressed as a curve of a plurality of power which can be scheduled by using the charging piles in total for each charging moment. And determining a charging pile power setting function and constraint conditions corresponding to the charging pile power setting function according to the charging margin curve, wherein the constraint conditions comprise a charging power constraint condition and a charging electric quantity constraint condition, the charging power constraint condition is a condition that for each charging moment, the sum of charging powers of a plurality of charging piles is smaller than or equal to a corresponding charging margin, the charging electric quantity constraint condition is a condition that for each charging pile, the sum of accumulated charging electric quantity of a charging time period is smaller than or equal to a condition that the charging electric quantity is allocated to the corresponding charging pile in the charging time period, and the charging pile power setting function aims at the highest power utilization rate. And solving a charging pile power setting function under the constraint condition to obtain power values corresponding to the charging piles respectively for each charging moment. According to the embodiment of the invention, the charging margin curve is determined through the charging safety threshold curve and the load prediction curve so as to regulate the power of the charging pile. The power utilization of other loads and the power utilization of the charging piles are coordinated, and the technical problem that power between the charging piles and other devices in a preset platform area is difficult to balance in the related art is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
fig. 1 is a flowchart of a charging pile charging power determining method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a charge margin curve provided by an alternative embodiment of the present invention;
Fig. 3 is a block diagram of a charging pile charging power determining apparatus according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
According to an embodiment of the present invention, there is provided an embodiment of a charging pile charging power determining method, it being noted that the steps shown in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is shown in the flowchart, in some cases the steps shown or described may be performed in an order different from that herein.
Fig. 1 is a flowchart of a charging pile charging power determining method according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, determining a charging safety threshold curve corresponding to a preset platform area based on a charging scene of the preset platform area, wherein the preset platform area comprises a plurality of charging piles, the charging safety threshold curve is represented as a curve of a charging safety power threshold corresponding to the plurality of charging piles at each charging moment, and the charging piles are in use;
In the providing step S102 of the present application, a predetermined station area, which refers to a specific power supply area or distribution station area, is referred to, in which a plurality of charging piles are installed for providing charging services for electric vehicles. The bays are typically divided by geographic location, power load, etc. to facilitate power management and distribution.
The charging pile is an infrastructure for charging the electric automobile, and can convert alternating current or direct current of a power grid into electric energy required by a battery of the electric automobile. The charging piles are used in a state that charging piles are used, namely the charging piles which are currently providing charging services for the electric automobile are connected by the electric automobile, and the charging ports of the charging piles are in a charging process.
The charging safety threshold curve represents a set of maximum charging powers (i.e., safety power thresholds) allowed by each charging pile in use at different charging moments in order to ensure the safety of the power grid and the stable operation of the charging pile. In addition, at different time points, each charging pile in use has a corresponding maximum safe charging power value. The design aims to flexibly cope with the change of the power load of the station area and ensure the safety and the efficiency of the charging process. The curve is comprehensively determined based on the current power load of the platform area, the power grid stability requirement, the charging pile performance and other factors.
This step describes that in a specific power supply area (a predetermined area), a charging safety threshold curve needs to be formulated according to the charging scenario (such as the number of electric vehicles, the charging demand distribution, etc.) of the area, so as to ensure that the electric vehicles charged in the area can be charged safely and efficiently, and at the same time, no excessive burden is imposed on the power grid.
Step S104, determining a charge margin curve according to a charge safety threshold curve and a load prediction curve, wherein the load prediction curve is a power prediction curve of loads required by other loads except for the charging piles in a preset platform area for each charging moment, and the charge margin curve is a curve of power which can be scheduled by a plurality of charging piles in total for each charging moment;
In the step S104 provided by the present application, a load prediction curve is related to a prediction of the power required by all loads (e.g., household electricity, business electricity, industrial electricity, etc.) except the charging pile load in the predetermined area at each charging time point. This curve helps to understand the power requirements of the bay over different time periods. The charging margin curve is calculated based on the charging safety threshold curve and the load prediction curve, and represents a curve of power (namely, the difference between the safety charging power and the current other load demands) which can be additionally scheduled by a plurality of charging piles in use at each charging moment.
The charging margin curve can be calculated by comprehensively considering a charging safety threshold curve (namely the safety charging capacity of the charging pile) and a load prediction curve (namely the power requirements of other loads of the platform area). This curve provides visual information about when and how much additional charging capacity the charging stake has.
Step S106, determining a charging pile power setting function and constraint conditions corresponding to the charging pile power setting function according to a charging margin curve, wherein the constraint conditions comprise a charging power constraint condition and a charging electric quantity constraint condition, the charging power constraint condition is a condition that for each charging moment, the sum of charging powers of a plurality of charging piles is smaller than or equal to a corresponding charging margin, the charging electric quantity constraint condition is a condition that for each charging pile, the sum of accumulated charging electric quantity of a charging time period is smaller than or equal to a condition of distributing charging electric quantity of the corresponding charging pile in the charging time period, and the charging pile power setting function aims at the highest power utilization rate;
In the present application provides step S106, a charging pile power setting function is involved, which is a mathematical model or algorithm for determining the power setting of each charging pile at each charging instant. Its goal is to optimize the power distribution of the charging pile to meet specific optimization objectives (e.g., highest power utilization).
Wherein, constraint conditions are set, and in the optimization problem, the condition of the decision variable value range is limited. In the embodiment of the invention, the constraint conditions comprise a charging power constraint condition and a charging electric quantity constraint condition, and the constraint conditions are used for ensuring that the power and electric quantity distribution of the charging pile is safe and reasonable.
The charging power constraint condition refers to a condition that, for each charging time point, the sum of charging powers of a plurality of charging piles is smaller than or equal to a corresponding charging margin. This is to ensure that the total charging power of the charging stake does not exceed the available charging capacity of the grid, thereby avoiding grid overload.
The charging capacity constraint condition refers to a condition that for each charging pile, the sum of accumulated charging capacities of the charging time periods is smaller than or equal to the allocated charging capacity of the corresponding charging pile in the charging time period. This is to ensure that the charge amount of each charging peg does not exceed its predetermined distribution amount, thereby avoiding overcharge or undercharge.
The power utilization rate refers to the ratio of the power actually used by the charging pile to the maximum available power of the charging pile. In the optimization problem, the highest power utilization rate generally means that the power of the charging pile is utilized most effectively on the premise that all constraint conditions are met.
The highest power utilization rate is selected as the optimization target because it helps to maximize the utilization efficiency of the charging pile and reduce energy waste. Optionally, in practical applications, other factors, such as cost, grid stability, user satisfaction, etc., may also be considered, which may be achieved by adding corresponding weights or constraints to the optimization objective. The specific implementation of the charging pile power setting function may vary from application scenario to application scenario. An optimization algorithm (e.g., linear programming, nonlinear programming, genetic algorithm, etc.) may be used to solve for an optimal power allocation scheme that satisfies the constraints. The algorithms can automatically adjust the power setting of the charging stake according to the charging margin curves, constraints, and optimization objectives.
And S108, solving a charging pile power setting function under the constraint condition to obtain power values corresponding to the plurality of charging piles respectively for each charging moment.
In the providing step S108, the charging time point refers to a time point or a time period when the charging pile provides the charging service for the electric vehicle. These points in time may be discrete (e.g., hourly, minute, etc.) or continuous (theoretically) on a continuous time axis. The power value is the rate at which the charging pile is to convert the electrical energy allocated to the electric vehicle, typically in kilowatts (kW), at each charging instant.
The charging pile power setting function under the constraint conditions is solved, namely, an appropriate mathematical method or an optimization algorithm is used to find the optimal power distribution scheme meeting the conditions so as to optimally distribute the power of the charging pile.
Through the steps S102-S108, a charging safety threshold curve corresponding to the predetermined area is determined based on the charging scene of the predetermined area, wherein the predetermined area includes a plurality of charging piles, the charging safety threshold curve is represented as a curve of charging safety power thresholds corresponding to the plurality of charging piles for each charging time point, and the charging piles are in use. And determining a charging margin curve according to the charging safety threshold curve and the load prediction curve, wherein the load prediction curve is a power prediction curve of loads required by other loads except the charging piles in a preset platform area for each charging moment, and the charging margin curve is expressed as a curve of a plurality of power which can be scheduled by using the charging piles in total for each charging moment. And determining a charging pile power setting function and constraint conditions corresponding to the charging pile power setting function according to the charging margin curve, wherein the constraint conditions comprise a charging power constraint condition and a charging electric quantity constraint condition, the charging power constraint condition is a condition that for each charging moment, the sum of charging powers of a plurality of charging piles is smaller than or equal to a corresponding charging margin, the charging electric quantity constraint condition is a condition that for each charging pile, the sum of accumulated charging electric quantity of a charging time period is smaller than or equal to a condition that the charging electric quantity is allocated to the corresponding charging pile in the charging time period, and the charging pile power setting function aims at the highest power utilization rate. And solving a charging pile power setting function under the constraint condition to obtain power values corresponding to the charging piles respectively for each charging moment. According to the embodiment of the invention, the charging margin curve is determined through the charging safety threshold curve and the load prediction curve so as to regulate the power of the charging pile. The power utilization of other loads and the power utilization of the charging piles are coordinated, and the technical problem that power between the charging piles and other devices in a preset platform area is difficult to balance in the related art is solved.
As an alternative embodiment, determining the charging pile power setting function and the constraint condition corresponding to the charging pile power setting function according to the charging margin curve includes: determining a charging demand parameter, wherein the charging demand parameter comprises a plurality of demand indexes respectively corresponding to charging piles; setting the distributed charging quantity of the corresponding charging pile in the charging time period according to the charging demand parameters and the charging margin curve; and determining a charging electric quantity constraint condition according to the distributed charging electric quantity of the corresponding charging pile in the charging time period.
In this embodiment, the step of determining the constraint condition of the charge amount in the constraint condition is explained. First, a charging demand parameter is determined, wherein the charging demand parameter is a series of indexes describing charging demands of users, and the charging demand parameter comprises a plurality of demand indexes respectively corresponding to using charging piles. These parameters reflect the user's different requirements in terms of charging time, charging speed, charging cost, charging urgency, etc. In addition to the demand index, the charge demand parameters may include vehicle type, battery capacity, remaining charge, charge time preference, user priority, etc. These parameters may be obtained by way of user input, vehicle identification system, smart meter, etc. In a better accordance with this aspect, a charge level constraint is determined.
And then, setting the distributed charging quantity of the corresponding charging pile in the charging time period according to the charging demand parameters and the charging margin curve. In this step, the system allocates a charge amount to each charging post for a specific period of time according to the charge demand parameter and the charge margin curve. The distribution principle is to meet the charging requirement of users as much as possible, and meanwhile, the stability and the efficiency of the charging system are ensured. When distributing the charge amount, various factors involved in the charge demand parameters may need to be considered, such as power limitation of the charging pile, load balancing of the grid, priority of the user, etc.
Therefore, the constraint condition of the charging electric quantity is determined according to the distribution charging electric quantity of the corresponding charging pile in the charging time period. In this step, the system establishes a series of constraints based on the amount of charge that has been allocated to ensure that the charging process proceeds smoothly. These constraints may include total power limits, single pile power limits, grid load leveling, charging time limits, charging cost budget, and so forth. These constraints help to ensure the safety, efficiency and economy of the charging process. Meanwhile, the system also needs to monitor and adjust the constraint conditions in real time so as to adapt to the continuously changing charging requirements and environmental conditions.
As an optional embodiment, solving the power setting function of the charging pile under the constraint condition, to obtain the power value corresponding to the charging pile for each charging time point, and then includes: determining whether power values corresponding to the plurality of charging piles respectively meet the corresponding charging requirements in a preset platform area; under the condition that a charging pile which cannot meet the charging requirement exists in the result, determining a corresponding required power value for each charging moment; determining whether an adjusting result of the adjustable load exists according to the load prediction curve; and under the condition that the adjustable load exists as a result of the adjustment, obtaining an updated load curve according to the corresponding required power value for each charging moment, so as to determine the updated power value corresponding to each charging moment by using the updated load curve and a plurality of charging piles respectively.
In this embodiment, it is determined whether the power values respectively corresponding to the plurality of using charging piles satisfy the results of the corresponding charging demands in the predetermined area. I.e. this step involves evaluating the power distribution of each charging pile within a predetermined bay (i.e. a specific area or charging station) to determine whether they are able to meet the charging requirements of the respectively connected electric car or other device.
Then, in the case where there is a charging pile in use that cannot meet the charging demand in the result, a corresponding demand power value is determined for each charging time point. If it is found that the charging pile cannot meet the charging requirements of the charging device to which it is connected, it is necessary to further analyze the specific required power value at each charging time point. This helps identify which time periods the power shortage is most severe and which charging piles the power demand is most urgent. This step may require accurate calculation of the required power at each point in time in combination with the charging characteristics (e.g., fast charge, slow charge) of the electric vehicle and the usage habits (e.g., commute time, travel plan) of the user. In addition, the use of predictive algorithms to predict future charge demand trends may also be considered.
And then, determining whether an adjusting result of the adjustable load exists according to the load prediction curve. Since the load prediction curve is a prediction of the load change of the grid or charging station over a period of time in the future. This step determines whether there are adjustable load resources (e.g., interruptible loads, energy storage devices, etc.) by comparing the predicted curve to the actual charging demand, so that adjustments can be made as necessary to meet the charging demand.
And under the condition that the adjustable load exists as a result of the adjustment, obtaining an updated load curve according to the corresponding required power value for each charging moment, and determining the updated power value corresponding to each charging moment by using the updated load curve and the plurality of charging piles respectively. If it is determined that the adjustable load exists, the system redistributes the load through an optimization algorithm according to the required power value of each charging moment to obtain an updated load curve. Then, based on the updated load curve, a new power value is allocated to each charging pile so as to meet the charging requirement of the charging equipment connected with the charging pile. When updating power distribution, the system needs to ensure safe and stable operation of the power grid, and avoid the problems of overload, voltage fluctuation and the like. Meanwhile, priority and fairness among different charging piles, and satisfaction and charging efficiency of users are also required to be considered. In addition, in order to cope with emergency situations (such as power grid faults, charging pile faults and the like), the system can also have the capability of quick response and flexible adjustment.
As an optional embodiment, solving the power setting function of the charging pile under the constraint condition, to obtain, for each charging time point, a power value corresponding to the charging pile, and then further includes: and controlling a plurality of charging piles used in the preset platform area to be set at corresponding charging time points according to corresponding power values.
In this embodiment, the steps after solving the charging pile power setting function under the constraint condition to obtain the power value corresponding to the charging pile for each charging time point are described, after which a plurality of charging piles used in the predetermined area may be controlled to be set at the corresponding charging time point according to the corresponding power value. I.e. after obtaining the power values of each charging pile at each charging moment, the system needs to issue these power values to the corresponding charging piles and control them to charge according to these power values. This is typically accomplished through a communication network (e.g., wireless network, wired network, or power line carrier communication) that ensures that the charging stake is able to accurately receive and execute control instructions.
In practical applications, the charging pile may also need to have an ability to automatically adjust power, so as to cope with sudden situations such as voltage fluctuation of the power grid, failure of the charging pile, or state change of the battery of the electric automobile. In addition, in order to ensure the safety and stability of the charging process, the system also needs to monitor the running state of the charging pile in real time and diagnose faults.
As an alternative embodiment, the method further comprises: in the case where there are charging piles whose use states are changed in the predetermined area, a plurality of charging piles for use are changed.
In this embodiment, the charging piles of which the use states are changed are determined in time, that is, the use states of some charging piles are changed in a predetermined area. These changes may include changing from an idle state to an occupied state (i.e., starting to charge the electric vehicle), changing from an occupied state back to an idle state (i.e., charging is complete or interrupted), or the charging stake failing to be usable, etc. The change of the usage state may be triggered by various factors such as arrival and departure of the electric vehicle, cancellation of a charging request by a user, maintenance or trouble repair of the charging pile, and the like. The system needs to be able to detect these changes in real time and respond accordingly. In the process of changing the use state of the charging pile, a new used charging pile may be generated or an unused charging pile may be changed into a use state. For example, when an electric vehicle is connected to an originally idle charging pile and starts charging, the charging pile is changed from an idle state to a use state, thereby becoming a "new" use charging pile. Also, if such a change occurs simultaneously with a plurality of charging piles, a plurality of charging piles are used. Such changes may be accompanied by a series of subsequent operations such as updating the usage status information of the charging stake, adjusting the power distribution to meet the newly increased charging demand, notifying the user of the start or end of charging, etc. The system needs to be able to handle these changes efficiently and ensure that the state of use of the charging stake is consistent with the actual situation.
As an optional embodiment, solving a power setting function of the charging pile under the constraint condition to obtain a power value corresponding to each charging time point by using the charging pile, including: and solving a charging pile power setting function under the constraint condition through an integer programming algorithm to obtain power values corresponding to the plurality of charging piles respectively for each charging moment.
In this embodiment, the step of solving the charging pile power setting function under the constraint condition by the integer programming algorithm is explained. Integer programming is a special mathematical programming method that requires that the decision variables must be integers. In charging pile power distribution problems, this takes into account that the power output of the charging pile is typically done in fixed power steps (e.g., 3.3kW, 7kW, 22kW, etc.). Integer programming algorithms (e.g., branch-and-bound, cut-plane, column generation, etc.) are utilized to find power allocation schemes that satisfy all constraints and optimize some objective function (e.g., maximize charging efficiency, minimize cost, etc.).
Based on the foregoing embodiments and optional embodiments, an optional implementation is provided, and is specifically described below.
The invention provides a charging pile charging power determining method in an alternative embodiment, which adopts a miniature energy package design thought, and simultaneously considers factors such as redundant power, external mutual power, power generation and power prediction power curve, charging power requirement of a user, charging time requirement and the like of a transformer. Namely: based on the prediction result of the daily conventional load, the redundant power of the transformer is divided by utilizing grids (the insufficient part is not divided into grids), and then global optimization is performed based on an economic optimal operation target through mixed integer programming, so that the ordered charging operation of the comprehensive energy system is realized.
The invention is realized by adopting the following technical scheme:
A. process 1: and configuring a system safety threshold curve and a system time-of-use electricity price curve.
B. process 2: and inputting the predicted power of the platform area equipment and the charging demand parameters of the charging piles.
C. Process 3: and updating the input charging time periods Tinit, tend and the charging quantity Q of the charging pile.
D. process 4: updating the weight matrix.
E. Process 5: and solving the following constraint conditions through an integer programming algorithm to obtain a power setting matrix of each charging pile.
F. Process 6: and obtaining a global optimal solution, and issuing the value serving as a current time setting value of the charging pile serving as an instruction.
A. process 1: and configuring a system safety threshold curve and a system time-of-use electricity price curve.
System safety threshold curve: input is made through EMS system (energy management system) background configuration software for configuration transformer safety threshold limitation in an ordered charging algorithm.
System time-of-use electricity price curve: and the input is carried out through the back-end configuration software of the EMS system, and the charging priority of each charging pile in one day is adjusted.
B. process 2: and inputting the predicted power of the platform area equipment and the charging demand parameters of the charging piles.
In the strategy demonstration, the output of the photovoltaic power supply is set to 0 by default, and only 24-hour prediction curves of other loads are considered.
Charging pile charging demand parameters: by scanning the code, a charging time period (for example, charging time: 2022-09-22:00-2022-09-23:45, charging quantity: 30 kWh) is provided at the mobile phone charging APP.
C. Process 3: and updating the input charging time periods Tinit, tend and the charging quantity Q of the charging pile.
Updating charging energy package curve (same as the charging margin curve described above) =system safety threshold curve-load 24 hours prediction curve except for the charging pile, fig. 2 is a schematic diagram of charging margin curve provided by an alternative embodiment of the present invention, and as shown in fig. 2, for a charging pile that has been previously started to perform orderly regulation, at this time, the updated charging period is [ current time-predetermined end time ], and the charging capacity is: total charge capacity demand-charge capacity that has been completed before.
And updating the charging time period and the charging electric quantity according to the input of the APP for the newly added charging pile.
D. process 4: updating the weight matrix.
And updating the charging priority of the charging piles according to the charging start time of the charging piles (m is an m-length array, and m represents the sum of the number of charging piles which are charged in sequence).
The charging priority (array with the length of 96) of the charging pile at 96 points in time is updated according to the time-of-use electricity price curve, the lower the price is, the larger the value is, and the closer to the current moment, the larger the value is when the price is the same (in the same time section: peak-flat-valley).
E. Process 5: and solving the following constraint conditions through an integer programming algorithm to obtain a power setting matrix of each charging pile.
Solving the following constraint conditions through an integer programming algorithm to obtain a power setting matrix of each charging pile:
Wherein:
i represents a time series number, and the total of 96 points is 24 hours from 7:00 of the day to 06:45 of the next day.
M represents the number of charging piles, and m charging piles are used in total, so that the intelligent energy platform has the theory that m=100 and is practically used 10.
Alpha m represents the charging priority of the charging stake, the earlier the charging stake that puts forward the charging demand, the greater its value.
P mi represents a charging power setting value of the algorithm at the current time i set for the charging pile m, which is an m×96 matrix data value.
Beta i represents the ranking priority of the charging stake at 96 points in time.
Limiting conditions: 1) For each charging instant i: the sum of the charging power of all charging piles is smaller than the district charging margin value at the current moment:
the value of the charge energy packet curve at time i;
2) For each charging peg m: the accumulated charge amount of the entire charge period should be equal to the remaining charge amount at the present time:
Wherein:
i represents the current time sequence number of algorithm operation;
k represents the charging demand deadline serial number of the charging pile m;
P mi represents a charging power setting value of the current moment i set by the algorithm to the charging pile m;
Q mi represents the remaining required charging electricity value of the charging pile m at the current time.
F. Process 6: and obtaining a global optimal solution, and issuing the value serving as a current time setting value of the charging pile serving as an instruction.
The global optimal solution can be obtained by solving: and P mi, issuing the value as a current time setting value of the charging pile as a command.
By the alternative embodiments, at least the following advantages can be achieved:
(1) According to the alternative implementation mode, by adopting a miniature energy package design thought, factors such as redundant power, external mutual power, power generation and power generation prediction power curve, charging power requirement of a user, charging time requirement and the like of a transformer are considered, so that peak clipping and valley filling of a load and dynamic capacity expansion of a distribution transformer are realized, the power supply safety is ensured, the electricity cost is reduced, and the economic benefit is improved to a certain extent;
(2) The optional implementation mode of the invention can preferably meet the charging requirement of a user while carrying out load regulation and control;
(3) The optional implementation mode of the invention effectively realizes load management and orderly charging by using the energy package management mode;
(4) The alternative implementation mode of the invention uses a complete 96-point time-of-use electricity price curve, and can accurately realize the lowest electricity cost.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present invention. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present invention.
From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method of the various embodiments of the present invention.
Example 2
According to an embodiment of the present invention, there is also provided an apparatus for implementing the above-mentioned charging pile charging power determining method, and fig. 3 is a block diagram of a charging pile charging power determining apparatus according to an embodiment of the present invention, as shown in fig. 3, the apparatus including: the first determination module 302, the second determination module 304, the third determination module 306, and the fourth determination module 308 are described in detail below.
A first determining module 302, configured to determine a charging safety threshold curve corresponding to a predetermined area based on a charging scenario of the predetermined area, where the predetermined area includes a plurality of charging piles used, the charging safety threshold curve is represented as a curve of charging safety power thresholds corresponding to the plurality of charging piles used at each charging time point, and the charging piles used are charging piles in use;
The second determining module 304 is connected to the first determining module 302, and is configured to determine a charging margin curve according to a charging safety threshold curve and a load prediction curve, where the load prediction curve is a power prediction curve of a load required by a load other than the charging pile in the predetermined area for each charging time point, and the charging margin curve is a curve of a total power capable of being scheduled by using the charging pile for each charging time point;
A third determining module 306, coupled to the second determining module 304, configured to determine a charging pile power setting function according to a charging margin curve, and a constraint condition corresponding to the charging pile power setting function, where the constraint condition includes a charging power constraint condition, the charging power constraint condition is a condition that, for each charging time point, a sum of charging powers of a plurality of charging piles used is less than or equal to a corresponding charging margin, the charging power constraint condition is a condition that, for each charging pile used, a sum of accumulated charging powers of a charging time period is less than or equal to a condition of an allocated charging power of the corresponding charging pile in the charging time period, and the charging pile power setting function targets a power utilization rate at a highest value;
And a fourth determining module 308, coupled to the third determining module 306, for solving the power setting function of the charging pile under the constraint condition to obtain power values corresponding to the plurality of charging piles for each charging time point.
Optionally, the third determining module 306 is further configured to determine a charging demand parameter, where the charging demand parameter includes a plurality of demand indexes corresponding to the charging piles respectively; setting the distributed charging quantity of the corresponding charging pile in the charging time period according to the charging demand parameters and the charging margin curve; and determining a charging electric quantity constraint condition according to the distributed charging electric quantity of the corresponding charging pile in the charging time period.
Optionally, the fourth determining module 308 is further configured to determine whether the power values corresponding to the plurality of using charging piles respectively in the predetermined area meet the corresponding charging requirement; under the condition that a charging pile which cannot meet the charging requirement exists in the result, determining a corresponding required power value for each charging moment; determining whether an adjusting result of the adjustable load exists according to the load prediction curve; and under the condition that the adjustable load exists as a result of the adjustment, obtaining an updated load curve according to the corresponding required power value for each charging moment, so as to determine the updated power value corresponding to each charging moment by using the updated load curve and a plurality of charging piles respectively.
Optionally, the fourth determining module 308 is further configured to control the plurality of usage charging piles in the predetermined area to be set at corresponding charging time points according to corresponding power values.
Optionally, the fourth determining module 308 is further configured to, in a case where there are charging piles with changed usage states in the predetermined area, change to obtain a plurality of usage charging piles.
Optionally, the fourth determining module 308 is further configured to solve, by using an integer programming algorithm, a power setting function of the charging pile under the constraint condition, to obtain, for each charging time point, a plurality of power values corresponding to the charging piles respectively.
Here, the first determining module 302, the second determining module 304, the third determining module 306 and the fourth determining module 308 correspond to steps S102 to S108 in implementing the charging power determining method of the charging pile, and the plurality of modules are the same as examples and application scenarios implemented by the corresponding steps, but are not limited to those disclosed in the above embodiment 1.
Example 3
According to another aspect of the embodiment of the present invention, there is also provided an electronic device including: a processor; a memory for storing processor-executable instructions, wherein the processor is configured to execute the instructions to implement a charging pile charging power determination method: determining a charging safety threshold curve corresponding to a preset platform area based on a charging scene of the preset platform area, wherein the preset platform area comprises a plurality of charging piles, the charging safety threshold curve is represented as a curve of a charging safety power threshold corresponding to the plurality of charging piles at each charging moment, and the charging piles are used in use; determining a charging margin curve according to a charging safety threshold curve and a load prediction curve, wherein the load prediction curve is a power prediction curve of loads required by other loads except for charging piles in a preset platform area for each charging moment, and the charging margin curve is expressed as a curve of power which can be scheduled by a plurality of charging piles in total for each charging moment; determining a charging pile power setting function and constraint conditions corresponding to the charging pile power setting function according to a charging margin curve, wherein the constraint conditions comprise a charging power constraint condition and a charging electric quantity constraint condition, the charging power constraint condition is a condition that for each charging moment, the sum of charging powers of a plurality of charging piles is smaller than or equal to a corresponding charging margin, the charging electric quantity constraint condition is a condition that for each charging pile, the sum of accumulated charging electric quantity of a charging time period is smaller than or equal to a condition that charging electric quantity is allocated to the corresponding charging pile in the charging time period, and the charging pile power setting function aims at the highest power utilization rate; and solving a charging pile power setting function under the constraint condition to obtain power values corresponding to the charging piles respectively for each charging moment.
Optionally, determining the charging pile power setting function and the constraint condition corresponding to the charging pile power setting function according to the charging margin curve includes: determining a charging demand parameter, wherein the charging demand parameter comprises a plurality of demand indexes respectively corresponding to charging piles; setting the distributed charging quantity of the corresponding charging pile in the charging time period according to the charging demand parameters and the charging margin curve; and determining a charging electric quantity constraint condition according to the distributed charging electric quantity of the corresponding charging pile in the charging time period.
Optionally, solving the power setting function of the charging pile under the constraint condition, and after obtaining the power value corresponding to each charging time point by using the charging pile, the method includes: determining whether power values corresponding to the plurality of charging piles respectively meet the corresponding charging requirements in a preset platform area; under the condition that a charging pile which cannot meet the charging requirement exists in the result, determining a corresponding required power value for each charging moment; determining whether an adjusting result of the adjustable load exists according to the load prediction curve; and under the condition that the adjustable load exists as a result of the adjustment, obtaining an updated load curve according to the corresponding required power value for each charging moment, so as to determine the updated power value corresponding to each charging moment by using the updated load curve and a plurality of charging piles respectively.
Optionally, solving the power setting function of the charging pile under the constraint condition, and after obtaining the power value corresponding to each charging time point by using the charging pile, further includes: and controlling a plurality of charging piles used in the preset platform area to be set at corresponding charging time points according to corresponding power values.
Optionally, the method further comprises: in the case where there are charging piles whose use states are changed in the predetermined area, a plurality of charging piles for use are changed.
Optionally, solving a power setting function of the charging pile under the constraint condition to obtain a power value corresponding to each charging time point by using the charging pile, including: and solving a charging pile power setting function under the constraint condition through an integer programming algorithm to obtain power values corresponding to the plurality of charging piles respectively for each charging moment.
Example 4
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform a charging pile charging power determination method: determining a charging safety threshold curve corresponding to a preset platform area based on a charging scene of the preset platform area, wherein the preset platform area comprises a plurality of charging piles, the charging safety threshold curve is represented as a curve of a charging safety power threshold corresponding to the plurality of charging piles at each charging moment, and the charging piles are used in use; determining a charging margin curve according to a charging safety threshold curve and a load prediction curve, wherein the load prediction curve is a power prediction curve of loads required by other loads except for charging piles in a preset platform area for each charging moment, and the charging margin curve is expressed as a curve of power which can be scheduled by a plurality of charging piles in total for each charging moment; determining a charging pile power setting function and constraint conditions corresponding to the charging pile power setting function according to a charging margin curve, wherein the constraint conditions comprise a charging power constraint condition and a charging electric quantity constraint condition, the charging power constraint condition is a condition that for each charging moment, the sum of charging powers of a plurality of charging piles is smaller than or equal to a corresponding charging margin, the charging electric quantity constraint condition is a condition that for each charging pile, the sum of accumulated charging electric quantity of a charging time period is smaller than or equal to a condition that charging electric quantity is allocated to the corresponding charging pile in the charging time period, and the charging pile power setting function aims at the highest power utilization rate; and solving a charging pile power setting function under the constraint condition to obtain power values corresponding to the charging piles respectively for each charging moment.
Optionally, determining the charging pile power setting function and the constraint condition corresponding to the charging pile power setting function according to the charging margin curve includes: determining a charging demand parameter, wherein the charging demand parameter comprises a plurality of demand indexes respectively corresponding to charging piles; setting the distributed charging quantity of the corresponding charging pile in the charging time period according to the charging demand parameters and the charging margin curve; and determining a charging electric quantity constraint condition according to the distributed charging electric quantity of the corresponding charging pile in the charging time period.
Optionally, solving the power setting function of the charging pile under the constraint condition, and after obtaining the power value corresponding to each charging time point by using the charging pile, the method includes: determining whether power values corresponding to the plurality of charging piles respectively meet the corresponding charging requirements in a preset platform area; under the condition that a charging pile which cannot meet the charging requirement exists in the result, determining a corresponding required power value for each charging moment; determining whether an adjusting result of the adjustable load exists according to the load prediction curve; and under the condition that the adjustable load exists as a result of the adjustment, obtaining an updated load curve according to the corresponding required power value for each charging moment, so as to determine the updated power value corresponding to each charging moment by using the updated load curve and a plurality of charging piles respectively.
Optionally, solving the power setting function of the charging pile under the constraint condition, and after obtaining the power value corresponding to each charging time point by using the charging pile, further includes: and controlling a plurality of charging piles used in the preset platform area to be set at corresponding charging time points according to corresponding power values.
Optionally, the method further comprises: in the case where there are charging piles whose use states are changed in the predetermined area, a plurality of charging piles for use are changed.
Optionally, solving a power setting function of the charging pile under the constraint condition to obtain a power value corresponding to each charging time point by using the charging pile, including: and solving a charging pile power setting function under the constraint condition through an integer programming algorithm to obtain power values corresponding to the plurality of charging piles respectively for each charging moment.
Example 5
According to another aspect of the embodiments of the present invention, there is also provided a computer program product comprising a computer program which, when executed by a processor, performs the steps of: determining a charging safety threshold curve corresponding to a preset platform area based on a charging scene of the preset platform area, wherein the preset platform area comprises a plurality of charging piles, the charging safety threshold curve is represented as a curve of a charging safety power threshold corresponding to the plurality of charging piles at each charging moment, and the charging piles are used in use; determining a charging margin curve according to a charging safety threshold curve and a load prediction curve, wherein the load prediction curve is a power prediction curve of loads required by other loads except for charging piles in a preset platform area for each charging moment, and the charging margin curve is expressed as a curve of power which can be scheduled by a plurality of charging piles in total for each charging moment; determining a charging pile power setting function and constraint conditions corresponding to the charging pile power setting function according to a charging margin curve, wherein the constraint conditions comprise a charging power constraint condition and a charging electric quantity constraint condition, the charging power constraint condition is a condition that for each charging moment, the sum of charging powers of a plurality of charging piles is smaller than or equal to a corresponding charging margin, the charging electric quantity constraint condition is a condition that for each charging pile, the sum of accumulated charging electric quantity of a charging time period is smaller than or equal to a condition that charging electric quantity is allocated to the corresponding charging pile in the charging time period, and the charging pile power setting function aims at the highest power utilization rate; and solving a charging pile power setting function under the constraint condition to obtain power values corresponding to the charging piles respectively for each charging moment.
Optionally, determining the charging pile power setting function and the constraint condition corresponding to the charging pile power setting function according to the charging margin curve includes: determining a charging demand parameter, wherein the charging demand parameter comprises a plurality of demand indexes respectively corresponding to charging piles; setting the distributed charging quantity of the corresponding charging pile in the charging time period according to the charging demand parameters and the charging margin curve; and determining a charging electric quantity constraint condition according to the distributed charging electric quantity of the corresponding charging pile in the charging time period.
Optionally, solving the power setting function of the charging pile under the constraint condition, and after obtaining the power value corresponding to each charging time point by using the charging pile, the method includes: determining whether power values corresponding to the plurality of charging piles respectively meet the corresponding charging requirements in a preset platform area; under the condition that a charging pile which cannot meet the charging requirement exists in the result, determining a corresponding required power value for each charging moment; determining whether an adjusting result of the adjustable load exists according to the load prediction curve; and under the condition that the adjustable load exists as a result of the adjustment, obtaining an updated load curve according to the corresponding required power value for each charging moment, so as to determine the updated power value corresponding to each charging moment by using the updated load curve and a plurality of charging piles respectively.
Optionally, solving the power setting function of the charging pile under the constraint condition, and after obtaining the power value corresponding to each charging time point by using the charging pile, further includes: and controlling a plurality of charging piles used in the preset platform area to be set at corresponding charging time points according to corresponding power values.
Optionally, the method further comprises: in the case where there are charging piles whose use states are changed in the predetermined area, a plurality of charging piles for use are changed.
Optionally, solving a power setting function of the charging pile under the constraint condition to obtain a power value corresponding to each charging time point by using the charging pile, including: and solving a charging pile power setting function under the constraint condition through an integer programming algorithm to obtain power values corresponding to the plurality of charging piles respectively for each charging moment.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.

Claims (10)

1.一种充电桩充电功率确定方法，其特征在于，包括：1. A method for determining charging power of a charging pile, characterized by comprising: 基于预定台区的充电场景，确定与所述预定台区对应的充电安全阈值曲线，其中，所述预定台区中包括多个使用充电桩，所述充电安全阈值曲线表示为对于每个充电时刻点，所述多个使用充电桩对应的充电安全功率阈值的曲线，所述使用充电桩为使用状态为使用中的充电桩；Based on the charging scenario of the predetermined area, determining a charging safety threshold curve corresponding to the predetermined area, wherein the predetermined area includes a plurality of charging piles in use, and the charging safety threshold curve is represented by a curve of charging safety power thresholds corresponding to the plurality of charging piles in use at each charging time point, wherein the charging piles in use are charging piles in use; 依据所述充电安全阈值曲线与负荷预测曲线，确定充电裕度曲线，其中，所述负荷预测曲线为对于每个充电时刻点，所述预定台区中除充电桩外的其他负荷所需用负荷的功率预测曲线，所述充电裕度曲线表示为对于每个充电时刻点，所述多个使用充电桩总共能够调度的功率的曲线；Determine a charging margin curve according to the charging safety threshold curve and the load prediction curve, wherein the load prediction curve is a power prediction curve of the loads required by other loads in the predetermined area except the charging piles at each charging time point, and the charging margin curve is a curve of the total power that can be dispatched by the multiple charging piles at each charging time point; 依据所述充电裕度曲线，确定充电桩功率设置函数，以及与所述充电桩功率设置函数对应的约束条件，其中，所述约束条件包括充电功率约束条件，充电电量约束条件，所述充电功率约束条件为对于每一个充电时刻点，所述多个使用充电桩的充电功率之和小于或等于对应的充电裕度的条件，所述充电电量约束条件为对于每一个使用充电桩，充电时间段的累积充电电量之和小于或等于所述充电时间段内对应充电桩的分配充电电量的条件，所述充电桩功率设置函数以功率利用率最高为目标；According to the charging margin curve, determine the charging pile power setting function and the constraint conditions corresponding to the charging pile power setting function, wherein the constraint conditions include charging power constraint conditions and charging power constraint conditions, the charging power constraint conditions are that for each charging time point, the sum of the charging powers of the multiple charging piles is less than or equal to the corresponding charging margin, the charging power constraint conditions are that for each charging pile, the sum of the cumulative charging power in the charging time period is less than or equal to the allocated charging power of the corresponding charging pile in the charging time period, and the charging pile power setting function aims at maximizing power utilization; 对所述约束条件下的所述充电桩功率设置函数进行求解，获得对于每个充电时刻点，所述多个使用充电桩分别对应的功率值。The charging pile power setting function under the constraint condition is solved to obtain power values corresponding to the multiple charging piles at each charging time point. 2.根据权利要求1所述的方法，其特征在于，依据所述充电裕度曲线，确定充电桩功率设置函数，以及与所述充电桩功率设置函数对应的约束条件，包括：2. The method according to claim 1, characterized in that, according to the charging margin curve, determining a charging pile power setting function and constraints corresponding to the charging pile power setting function include: 确定充电需求参数，其中，所述充电需求参数包括所述多个使用充电桩分别对应的需求指数；Determining a charging demand parameter, wherein the charging demand parameter includes demand indexes corresponding to the plurality of charging piles respectively; 依据所述充电需求参数以及所述充电裕度曲线，设置所述充电时间段内对应充电桩的分配充电电量；According to the charging demand parameter and the charging margin curve, setting the allocated charging power of the corresponding charging pile within the charging time period; 依据所述充电时间段内对应充电桩的分配充电电量，确定所述充电电量约束条件。The charging power constraint condition is determined according to the allocated charging power of the corresponding charging pile within the charging time period. 3.根据权利要求1所述的方法，其特征在于，对所述约束条件下的所述充电桩功率设置函数进行求解，获得对于每个充电时刻点，所述使用充电桩对应的功率值之后，包括：3. The method according to claim 1, characterized in that after solving the charging pile power setting function under the constraint condition to obtain the power value corresponding to the charging pile used for each charging time point, it comprises: 确定所述预定台区中，所述多个使用充电桩分别对应的功率值是否满足对应的充电需求的结果；Determine whether the power values corresponding to the plurality of charging piles in the predetermined area meet the corresponding charging requirements; 在所述结果中存在不能满足充电需求的使用充电桩的情况下，确定对于每一个充电时刻点，对应的需求功率值；If there is a used charging pile in the result that cannot meet the charging demand, determine the corresponding required power value for each charging time point; 依据所述负荷预测曲线，确定是否存在可调节负荷的调节结果；Determining whether there is an adjustment result for the adjustable load according to the load prediction curve; 在所述调节结果为存在可调节负荷的情况下，依据对于每一个充电时刻点，对应的需求功率值，得到更新负荷曲线，以使用所述更新负荷曲线确定对于每个充电时刻点，所述多个使用充电桩分别对应的更新功率值。When the adjustment result indicates that there is an adjustable load, an updated load curve is obtained based on the required power value corresponding to each charging time point, so as to use the updated load curve to determine the updated power values corresponding to the multiple charging piles for each charging time point. 4.根据权利要求1所述的方法，其特征在于，对所述约束条件下的所述充电桩功率设置函数进行求解，获得对于每个充电时刻点，所述使用充电桩对应的功率值之后，还包括：4. The method according to claim 1, characterized in that after solving the charging pile power setting function under the constraint condition to obtain the power value corresponding to the charging pile used for each charging time point, it also includes: 控制所述预定台区内的所述多个使用充电桩在对应的充电时刻点，按照对应的功率值进行设置。The plurality of charging piles in the predetermined area are controlled to be set according to corresponding power values at corresponding charging time points. 5.根据权利要求1所述的方法，其特征在于，所述方法还包括：5. The method according to claim 1, characterized in that the method further comprises: 在所述预定台区中，存在使用状态变更的充电桩的情况下，变更得到所述多个使用充电桩。If there are charging piles whose usage status is changed in the predetermined station area, the plurality of charging piles in use are changed. 6.根据权利要求1至5中任意一项所述的方法，其特征在于，对所述约束条件下的所述充电桩功率设置函数进行求解，获得对于每个充电时刻点，所述使用充电桩对应的功率值，包括：6. The method according to any one of claims 1 to 5, characterized in that solving the charging pile power setting function under the constraint condition to obtain the power value corresponding to the used charging pile for each charging time point comprises: 通过整数规划算法对所述约束条件下的所述充电桩功率设置函数进行求解，获得对于每个充电时刻点，所述多个使用充电桩分别对应的功率值。The charging pile power setting function under the constraint condition is solved by an integer programming algorithm to obtain power values corresponding to the multiple charging piles at each charging time point. 7.一种充电桩充电功率确定装置，其特征在于，包括：7. A device for determining charging power of a charging pile, characterized by comprising: 第一确定模块，用于基于预定台区的充电场景，确定与所述预定台区对应的充电安全阈值曲线，其中，所述预定台区中包括多个使用充电桩，所述充电安全阈值曲线表示为对于每个充电时刻点，所述多个使用充电桩对应的充电安全功率阈值的曲线，所述使用充电桩为使用状态为使用中的充电桩；A first determination module is used to determine a charging safety threshold curve corresponding to a predetermined area based on a charging scenario of the predetermined area, wherein the predetermined area includes a plurality of charging piles in use, and the charging safety threshold curve is represented by a curve of charging safety power thresholds corresponding to the plurality of charging piles in use for each charging time point, and the charging piles in use are charging piles in use; 第二确定模块，用于依据所述充电安全阈值曲线与负荷预测曲线，确定充电裕度曲线，其中，所述负荷预测曲线为对于每个充电时刻点，所述预定台区中除充电桩外的其他负荷所需用负荷的功率预测曲线，所述充电裕度曲线表示为对于每个充电时刻点，所述多个使用充电桩总共能够调度的功率的曲线；A second determination module is used to determine a charging margin curve according to the charging safety threshold curve and the load prediction curve, wherein the load prediction curve is a power prediction curve of the load required by other loads in the predetermined area except the charging piles at each charging time point, and the charging margin curve is represented by a curve of the total power that can be dispatched by the multiple charging piles at each charging time point; 第三确定模块，用于依据所述充电裕度曲线，确定充电桩功率设置函数，以及与所述充电桩功率设置函数对应的约束条件，其中，所述约束条件包括充电功率约束条件，充电电量约束条件，所述充电功率约束条件为对于每一个充电时刻点，所述多个使用充电桩的充电功率之和小于或等于对应的充电裕度的条件，所述充电电量约束条件为对于每一个使用充电桩，充电时间段的累积充电电量之和小于或等于所述充电时间段内对应充电桩的分配充电电量的条件，所述充电桩功率设置函数以功率利用率最高为目标；A third determination module is used to determine a charging pile power setting function and a constraint condition corresponding to the charging pile power setting function according to the charging margin curve, wherein the constraint condition includes a charging power constraint condition and a charging power constraint condition, wherein the charging power constraint condition is that for each charging time point, the sum of the charging powers of the multiple charging piles in use is less than or equal to the corresponding charging margin, and the charging power constraint condition is that for each charging pile in use, the sum of the cumulative charging power in the charging time period is less than or equal to the allocated charging power of the corresponding charging pile in the charging time period, and the charging pile power setting function aims at maximizing power utilization; 第四确定模块，用于对所述约束条件下的所述充电桩功率设置函数进行求解，获得对于每个充电时刻点，所述多个使用充电桩分别对应的功率值。The fourth determination module is used to solve the charging pile power setting function under the constraint condition to obtain the power values corresponding to the multiple charging piles at each charging time point. 8.一种电子设备，其特征在于，包括：8. An electronic device, comprising: 处理器；processor; 用于存储所述处理器可执行指令的存储器；a memory for storing instructions executable by the processor; 其中，所述处理器被配置为执行所述指令，以实现如权利要求1至6中任一项所述的充电桩充电功率确定方法。The processor is configured to execute the instructions to implement the method for determining the charging power of a charging pile as described in any one of claims 1 to 6. 9.一种计算机可读存储介质，其特征在于，当所述计算机可读存储介质中的指令由电子设备的处理器执行时，使得电子设备能够执行如权利要求1至6中任一项所述的充电桩充电功率确定方法。9. A computer-readable storage medium, characterized in that when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the charging pile charging power determination method as described in any one of claims 1 to 6. 10.一种计算机程序产品，包括计算机程序，其特征在于，所述计算机程序被处理器执行时实现权利要求1至6中任一项所述的充电桩充电功率确定方法的步骤。10. A computer program product, comprising a computer program, characterized in that when the computer program is executed by a processor, the steps of the method for determining the charging power of a charging pile according to any one of claims 1 to 6 are implemented.
CN202411294990.4A 2024-09-14 2024-09-14 Charging pile charging power determination method, device and electronic equipment Pending CN118928131A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202411294990.4A CN118928131A (en) 2024-09-14 2024-09-14 Charging pile charging power determination method, device and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202411294990.4A CN118928131A (en) 2024-09-14 2024-09-14 Charging pile charging power determination method, device and electronic equipment

Publications (1)

Publication Number Publication Date
CN118928131A true CN118928131A (en) 2024-11-12

Family

ID=93352548

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202411294990.4A Pending CN118928131A (en) 2024-09-14 2024-09-14 Charging pile charging power determination method, device and electronic equipment

Country Status (1)

Country Link
CN (1) CN118928131A (en)

Similar Documents

Publication Publication Date Title
US20240304734A1 (en) Clustered power generator architecture
US10843586B2 (en) Optimal dispatch of electric vehicles performing V2G regulation
Purvins et al. Application of battery-based storage systems in household-demand smoothening in electricity-distribution grids
Wang et al. Integrated energy exchange scheduling for multimicrogrid system with electric vehicles
WO2021246087A1 (en) Data center system and operating method therefor, and data center system base design assistance device and method
Agamah et al. Energy storage system scheduling for peak demand reduction using evolutionary combinatorial optimisation
JP6373476B2 (en) Power management apparatus, power management system, and power management method
CN119261650B (en) A charging control method, device, equipment and storage medium for a charging pile
Qi et al. When shared autonomous electric vehicles meet microgrids: Citywide energy-mobility orchestration
CN108494034A (en) A kind of power distribution network electric vehicle charging sharing of load computational methods
CN113765126B (en) Control method and system for orderly charging and discharging based on intelligent fusion terminal of substation area
CN118003953B (en) Control method and device for charging behavior in charging station
CN117794776A (en) Charging control and scheduling of electric vehicles and related systems and methods
Naik et al. Optimization of vehicle-to-grid (V2G) services for development of smart electric grid: A review
CN116803744B (en) Ordered charging control method and device for electric automobile
CN119696129A (en) UPS peak-shifting charging method, device, electronic device and storage medium
US9450417B2 (en) Method for efficiency-driven operation of dispatchable sources and storage units in energy systems
US12322976B2 (en) Controller for a portable microgrid system and methods of use
CN118232378A (en) Charging and battery changing cabinet power distribution management system under regional power distribution network
Chandio et al. Gridpeaks: Employing distributed energy storage for grid peak reduction
Geng et al. Electric vehicles as flexible loads: Algorithms to optimize aggregate behavior
CN118928131A (en) Charging pile charging power determination method, device and electronic equipment
Torabi et al. Optimizing the coordinated charging of a group of electric vehicles
Xiao et al. A systematized framework to optimize grid-interactive charging process of electric vehicles integrated with buildings and distributed renewable sources
CN118432062B (en) Control method, system and central control host of virtual power plant

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination