WO2020082926A1 - 变流器及其分配电能的方法及电能分配系统 - Google Patents

变流器及其分配电能的方法及电能分配系统 Download PDF

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Publication number
WO2020082926A1
WO2020082926A1 PCT/CN2019/105319 CN2019105319W WO2020082926A1 WO 2020082926 A1 WO2020082926 A1 WO 2020082926A1 CN 2019105319 W CN2019105319 W CN 2019105319W WO 2020082926 A1 WO2020082926 A1 WO 2020082926A1
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WIPO (PCT)
Prior art keywords
energy
load
power supply
converter
supply end
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.)
Ceased
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PCT/CN2019/105319
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English (en)
French (fr)
Inventor
张雪芬
赵志刚
陈宁宁
李萌
曲东瑞
冯重阳
刘含
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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Application filed by Gree Electric Appliances Inc of Zhuhai filed Critical Gree Electric Appliances Inc of Zhuhai
Priority to US17/288,112 priority Critical patent/US12199430B2/en
Priority to AU2019363757A priority patent/AU2019363757B2/en
Priority to EP19876783.2A priority patent/EP3872946A4/en
Publication of WO2020082926A1 publication Critical patent/WO2020082926A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/12—Arrangements for adjusting voltage in AC networks by changing a characteristic of the network load
    • H02J3/14—Arrangements for adjusting voltage in AC networks by changing a characteristic of the network load by switching loads on to, or off from, the networks, e.g. progressively balanced loading
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/007—Arrangements for selectively connecting one or more loads to one or more power sources or power lines
    • H02J3/0075—Arrangements for selectively connecting one or more loads to one or more power sources or power lines for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/17—Demand-responsive operation of AC power transmission or distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2105/00—Networks for supplying or distributing electric power characterised by their spatial reach or by the load
    • H02J2105/10—Local stationary networks having a local or delimited stationary reach
    • H02J2105/12—Local stationary networks having a local or delimited stationary reach supplying households or buildings
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2105/00—Networks for supplying or distributing electric power characterised by their spatial reach or by the load
    • H02J2105/50—Networks for supplying or distributing electric power characterised by their spatial reach or by the load for selectively controlling the operation of the loads
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/242—Home appliances

Definitions

  • the present disclosure relates to the technical field of household appliances, and in particular to a converter, a method for distributing electrical energy, and an electrical energy distribution system.
  • the photovoltaic direct-drive inverter air conditioner system uses the DC power output by the photovoltaic power generation system to supply energy to the inverter air conditioner.
  • a DC power supply system when a multi-DC air conditioning system or multiple DC air conditioning systems are powered by a centralized intelligent converter, there is a problem of distributing energy to multiple air conditioners.
  • a method for distributing electrical energy in a converter is proposed.
  • the method is used for distributing the energy consumption of multiple loads according to the energy of the power supply terminal.
  • the method includes: obtaining each The distribution coefficient of the energy usage of the load; the callable energy range of the load is obtained; the energy usage of each load is distributed according to the callable energy range and the distribution coefficient.
  • between obtaining the energy distribution coefficient of each load according to the number of loads and rated energy demand, and obtaining the callable energy range of the load includes: obtaining the initial distributable energy of the converter; Energy distribution coefficient, according to the initial distributable energy, pre-allocate the energy supply of each load; adjust the energy supply of each load according to the callable energy range and distribution coefficient, including: According to the initial distributable energy and the load Transfer the energy range to get the final distributable energy; according to the final distributable energy, redistribute the energy consumption of each load according to the distribution coefficient.
  • allocating the energy consumption of each load according to the callable energy range and distribution coefficient includes: adjusting the energy supply of each load according to the callable energy range and distribution coefficient distribution; calculating the remaining energy after adjustment; Distribute the remaining energy after adjustment to each load according to the distribution coefficient.
  • the load includes an air conditioner; acquiring the callable energy range of the load includes: acquiring operating data of each air conditioner; and determining the callable energy range of each air conditioner load based on the operating data and preset operating parameters.
  • the operation data includes an air conditioner operation mode; the preset operation parameters include: the required indoor temperature range in different modes.
  • an embodiment of the present disclosure provides an apparatus for distributing electrical energy of a converter, which is used to distribute energy usage of multiple loads according to energy of a power supply terminal, the apparatus includes: a calculation module configured to The number of loads and the rated energy demand are used to obtain the energy distribution coefficient of each load; the acquisition module is configured to obtain the loadable energy range of the load; the distribution module is configured to allocate the load to each load according to the callable energy range and the distribution coefficient Use energy to allocate.
  • an embodiment of the present disclosure provides a converter including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by one processor, instructions Being executed by at least one processor, so that the at least one processor executes the method for distributing electrical energy of the converter according to any one of the above-mentioned first aspects.
  • an embodiment of the present disclosure provides an electrical energy distribution system, including: a converter as described in the second aspect above, one end for connecting to a power supply end; a plurality of air conditioners, the other end of the converter is more than One air conditioner connection; communication device, communication connection converter and air conditioner.
  • the power supply terminal includes at least one of a photovoltaic power generation system, an energy storage battery system, a wind power generation system, and a public power grid system.
  • the communication device includes: a wired communication device or a wireless communication device; the communication method of the communication device includes: real-time data sharing or a master-slave communication method.
  • an embodiment of the present disclosure also provides a computer-readable storage medium on which computer program instructions are stored, which when executed by a processor implements the above-described method of allocating electrical energy by a converter.
  • FIG. 1 shows a schematic flowchart of some embodiments of a method for distributing electrical energy of a converter of the present disclosure.
  • FIG. 2 shows a schematic structural view of some embodiments of the converter of the present disclosure.
  • FIG. 3 shows a schematic structural diagram of other embodiments of the converter of the present disclosure.
  • FIG. 4 shows a schematic structural diagram of some embodiments of the power distribution system of the present disclosure.
  • the photovoltaic direct-drive inverter air conditioner system uses the direct current output by the photovoltaic power generation system to provide energy to the inverter air conditioner.
  • this photovoltaic direct-drive inverter air conditioner system only contains one air conditioner, and the grid-connected intelligent converter module is still integrated in the unit, and the air conditioning system has not been fully upgraded by DC.
  • a multi-DC air-conditioning system or multiple DC air-conditioning systems are needed, and a centralized intelligent converter provides energy.
  • the intelligent converter cannot effectively allocate energy to each air conditioner, resulting in that the energy cannot be effectively scheduled and efficiently used.
  • a method for distributing electrical energy in a converter is provided.
  • the method is used for distributing energy at a power supply end to multiple loads, for example, according to the energy at the power supply end, the load in the DC drive inverter air conditioner Energy distribution.
  • the method can also be applied to an AC air-conditioning system with multiple delays.
  • a DC-driven inverter air-conditioning system is used as an example for introduction. Specifically, as shown in FIG. 1, the method includes:
  • the load is described using a DC air conditioner as an example.
  • the installed capacity of the converter is designed according to the energy demand of multiple DC air conditioners. If the energy demand of multiple DC air conditioners is 5kW, the capacity of the converter is designed according to 5kW.
  • the power supply end of the converter, such as the photovoltaic power generation system, is also designed according to 5kW. The number of loads has been determined at the beginning of the system design, and the energy demand of each air conditioner can be obtained according to the rated power of the air conditioner.
  • the distribution coefficient of the energy demand of each air conditioner can be the proportion of the energy required by each air conditioner in the total energy supply, for example: the total energy supply of the converter is 1, the air conditioner is 5, and each air conditioner ’s
  • the energy requirements are 1kW, 1.5kW, 3kW, 2kW, 2.5kW, respectively, then the energy distribution coefficient of each air conditioner is 0.1, 0.15, 0.3, 0.2, 0.25.
  • the approximate energy required by each air conditioner can be obtained.
  • the initial distributable energy of the power supply terminal can be pre-distributed to each load according to the energy distribution coefficient required by each air conditioner to ensure the basic operation requirements of the load.
  • the initial distributable energy of the power supply end can be determined by the rated power of all air conditioners, that is, it can be determined according to the total power of the system. In design, the power of the power supply end is designed according to the total power of the system.
  • the energy demand range of the load may be determined according to the user's usage habits, load operation mode, or external environment.
  • the energy required by the air conditioner is different under the working modes of cooling, heating, dehumidification, and ventilation, and the energy required by the air conditioner is also different under the same working mode and different power conditions.
  • the temperature set by the air conditioner is different, or the temperature in the room is different, and the energy required by the air conditioner is also different.
  • the energy demand of each air conditioner also needs to be changed within a certain range.
  • the The energy demand range of an air conditioner According to the actual operating conditions of each air conditioner.
  • the energy is distributed to each load according to the energy demand range of each load and the distribution coefficient of the required energy. After the energy demand floating range of each load is determined, according to the floating range and the distribution coefficient, the energy is distributed to each load.
  • the energy distribution coefficient of each load that is, the ratio of the energy required by each load to the total energy supply, according to the energy distribution coefficient of each load and the energy demand range , Rationally allocate energy to each load, and then, can improve the utilization rate of energy, ensure the effective scheduling of the power system with multiple loads, ensure that the energy demand of the load can be controlled, and realize the refined management and energy of the system Efficient use.
  • the total energy actually provided by the power supply terminal can also be determined according to the energy demand range of each load, that is, the floating range of the required energy of each load, on the premise of ensuring the energy demand of each load, Storing excess energy, or when there is insufficient energy at the power supply end, dispatch energy in other power supply systems, which further improves the refined management and efficient use of system energy.
  • allocating energy to each load includes two distribution methods. For example, after determining the distribution coefficient of the energy required by each load, obtain the initial distributable energy of the power supply end; pre-allocate energy to each load according to the initial distributable energy according to the distribution coefficient; After the energy is pre-allocated according to the distribution coefficient, the energy demand range of each load is calculated.
  • the energy demand range of each air conditioner can be determined based on the user's basic comfort level. Taking cooling / heating as an example, the basic comfort data of the human body is 23.2 °C -27.8 °C under cooling conditions, and the basic comfort data of the human body is 16.8 °C -24.6 °C under heating conditions. The basic human comfort data can be adjusted according to the actual application.
  • the calculation of the cooling / heating energy demand data of each air conditioner can refer to the following formula:
  • ⁇ Q n represents the adjustable cooling / heating power of the nth air conditioner
  • the value range of ⁇ Q n can represent the load energy demand range
  • C represents the building heat capacity
  • ⁇ T rn represents the nth air conditioner according to Adjustable temperature difference for basic human comfort.
  • the adjustable electric power of each air conditioner can be expressed by the following formula:
  • ⁇ P en represents the adjustable electric power of the nth air conditioner
  • ⁇ cop represents the energy efficiency ratio of the air conditioner
  • the final distributable energy of the power supply end is obtained; based on the final distributable energy, the energy of each load is redistributed according to the distribution coefficient.
  • the final total amount of distributable energy at the power supply end is expressed by the following formula:
  • P ef represents the final distributable energy of the power supply end
  • P e represents the initial distributable energy of the power supply end.
  • the initially distributable energy of the power supply end is obtained according to the load energy demand and calibrated by the system power supply capability.
  • the energy supply of the power supply system can be adjusted according to the final distributable energy, and the excess energy can be stored under the premise of ensuring the energy demand of the load, or in other power supply systems when the energy supply is insufficient Electric energy dispatching further improves the refined management and efficient use of system energy.
  • another energy distribution method may be adopted, for example, after determining the distribution coefficient of the energy required by each load, the initial distributable energy of the power supply terminal is obtained; The initial distributable energy is pre-allocated to each load according to the distribution coefficient of the energy required by each load; after the initial distributable energy provided by the power supply terminal is distributed according to the distribution coefficient, the energy demand range of each load is calculated .
  • the energy demand range of each air conditioner can be determined based on the user's basic comfort level. For the specific calculation method, please refer to the description of the calculation of the load energy demand range in the above embodiment.
  • the energy of the power supply end is adjusted according to the energy demand range of each load and the distribution coefficient; the remaining energy of the power supply end after adjustment is distributed to each load according to the distribution coefficient.
  • the remaining energy of the power supply end is the difference between the sum of the actual energy required by each load and the initial distributable energy of the power supply end.
  • the energy adjusted by the power supply end on the basis of the initially distributable energy is calculated, and the adjusted energy is distributed to each load according to the distribution coefficient.
  • Some embodiments of the present disclosure provide a converter for distributing energy to multiple loads according to the energy of the power supply terminal.
  • the converter includes: a calculation module 10 configured to According to the number of loads and the rated energy demand of each load, the distribution coefficient of the energy required by each load is obtained; the acquisition module 20 is configured to acquire the energy demand range of each load; the distribution module 30 is configured to be based on the energy of the power supply end, According to the energy demand range and distribution coefficient, distribute energy to each load.
  • An embodiment of the present disclosure provides a converter.
  • the converter includes one or more processors 31 and a memory 32.
  • a processor 33 is used as an example.
  • the converter may further include: an input device 33 and an output device 34.
  • the processor 31, the memory 32, the input device 33, and the output device 34 may be connected through a bus or in other ways.
  • the connection through a bus is used as an example.
  • the processor 31 may be a central processing unit (Central Processing Unit, CPU).
  • the processor 31 may also be other general-purpose processors, digital signal processors (Digital Signal Processors, DSPs), application-specific integrated circuits (Application Specific Integrated Circuits, ASICs), field-programmable gate arrays (Field-Programmable Gates Arrays, FPGAs), or Other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components and other chips, or a combination of the above types of chips.
  • the general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
  • the memory 32 is a non-transitory computer-readable storage medium, and can be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as programs corresponding to the method of allocating electrical energy by the converter in the embodiments of the present application Instructions / modules.
  • the processor 31 executes various functional applications and data processing of the server by running non-transitory software programs, instructions, and modules stored in the memory 32, that is, the method for distributing electrical energy of the converter in the foregoing method embodiment.
  • the memory 32 may include a storage program area and a storage data area, wherein the storage program area may store an operating system and application programs required by at least one function; the storage data area may store data created according to the use of a processing device operated by a user terminal, etc. .
  • the memory 32 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices.
  • the memory 32 may optionally include memories remotely set relative to the processor 31, and these remote memories may be connected to an image detection and processing device through a network. Examples of the above network include but are not limited to the Internet, intranet, local area network, mobile communication network, and combinations thereof.
  • the input device 33 can receive input numeric or character information, and generate key signal input related to user settings and function control of the processing device of the user terminal.
  • the output device 34 may include a display device such as a display screen.
  • One or more modules are stored in the memory 32, and when executed by one or more processors 31, the method shown in FIG. 1 is executed.
  • An embodiment of the present disclosure also provides a non-transitory computer-readable medium.
  • the non-transitory computer-readable storage medium stores computer instructions.
  • the computer instructions are used to cause the computer to perform the converter assignment as described in any of the above embodiments.
  • the method of electrical energy may be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), a random storage memory (Random Access Memory, RAM), a flash memory (Flash), a hard disk (Hard Disk Drive) , Abbreviation: HDD) or solid-state drive (Solid-State Drive, SSD), etc .; the storage medium may also include a combination of the above types of memory.
  • An embodiment of the present disclosure also provides an electrical energy distribution system. As shown in FIG. 4, it includes a converter 100, a plurality of air conditioners 300, and a communication device 400 in the foregoing embodiment. One end of the converter 100 is connected to the power supply end 200, and another One end is respectively connected to a plurality of air conditioners 300; the communication device 400 is configured to implement communication between the converter 100 and each air conditioner 300.
  • the power supply terminal 200 may include at least one of a photovoltaic power generation system, an energy storage battery system, a wind power generation system, and a public power grid system.
  • the communication device 400 may include: a wired communication device or a wireless communication device; the communication methods of the communication device include: real-time data sharing or a master-slave communication method.

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Abstract

一种变流器及其分配电能的方法及电能分配系统，涉及家电技术领域。该方法包括：按照负载数量和每个负载的额定能量需求，得到各个负载所需能量的分配系数(S10)；获取各个负载的能量需求范围(S20)；根据供电端的能量，按照能量需求范围和分配系数，给各个负载分配能量(S30)。提高了能量的利用率，保证具有多个负载的用电系统的有效调度。

Description

变流器及其分配电能的方法及电能分配系统
相关申请的交叉引用
本申请是以CN申请号为201811246853.8，申请日为2018年10月24日的申请为基础，并主张其优先权，该CN申请的公开内容在此作为整体引入本申请中。
技术领域
本公开涉及家电技术领域，具体涉及到一种变流器及其分配电能的方法及电能分配系统。
背景技术
一个供电系统带多个负载，或多个负载由一个集中智能变流器提供能量的情况下，会存在对多个负载分配能量的问题。例如，光伏直驱变频空调系统，是采用光伏发电系统输出的直流电对变频空调器进行供能。在直流供电系统中，一拖多直流空调系统、或多台直流空调系统，由一个集中智能变流器提供能量时，会存在对多台空调器分配能量的问题。
发明内容
根据本公开一方面，提出一种变流器分配电能的方法，该方法用于根据供电端的能量对多个负载的用能进行分配，该方法包括：按照负载数量和额定用能需求，得到各个负载的用能的分配系数；获取负载的可调用能范围；根据可调用能范围和分配系数对各个负载的用能进行分配。
在一些实施例中，在按照负载数量和额定用能需求，得到各个负载的用能的分配系数，和获取负载的可调用能范围之间包括：获取变流器初始可分配的能量；按照用能的分配系数，根据初始可分配的能量，对各个负载的供能进行预分配；根据可调用能范围和分配系数对各个负载的供能进行调整包括：根据初始可分配的能量和负载的可调用能范围，得到最终可分配的能量；根据最终可分配的能量，按照分配系数对各个负载的用能进行重新分配。
在一些实施例中，根据可调用能范围和分配系数，对各个负载的用能进行分配包括：根据可调用能范围和分配系数分配对各个负载的供能进行调整；计算调整后剩余 的能量；将调整后剩余的能量按照分配系数分配给各个负载。
在一些实施例中，负载包括空调；获取负载的可调用能范围包括：获取每台空调的运行数据；基于运行数据和预设运行参数确定每台空调负载可调用能范围。
在一些实施例中，运行数据包括空调运行模式；预设运行参数包括：不同模式下所需的室内温度范围。
根据第二方面，本公开实施例提供了一种变流器分配电能的装置，该装置用于根据供电端的能量对多个负载的用能进行分配，该装置包括：计算模块，被配置为按照负载数量和额定用能需求，得到各个负载的用能的分配系数；获取模块，被配置为获取负载的可调用能范围；分配模块，被配置为根据可调用能范围和分配系数对各个负载的用能进行分配。
根据第三方面，本公开实施例提供了一种变流器，包括：至少一个处理器；以及与至少一个处理器通信连接的存储器；其中，存储器存储有可被一个处理器执行的指令，指令被至少一个处理器执行，以使至少一个处理器执行上述第一方面任意一项的变流器分配电能的方法。
根据第四方面，本公开实施例提供了一种电能分配系统，包括：如上述第二方面的变流器，一端用于与供电端连接；多个空调，变流器的另一端分别于多个空调连接；通讯装置，通讯连接变流器和空调。
在一些实施例中，供电端包括：光伏发电系统，储能电池系统、风能发电系统以及公共电网系统中的至少之一。
在一些实施例中，通讯装置包括：有线通讯装置或无线通讯装置；通讯装置的通讯方式包括：数据实时共享或主从通讯方式。
根据本公开的第五方面，本公开实施例还提供一种计算机可读存储介质，其上存储有计算机程序指令，该指令被处理器执行时实现上述的变流器分配电能的方法。
通过以下参照附图对本公开的示例性实施例的详细描述，本公开的其它特征及其优点将会变得清楚。
附图说明
构成说明书的一部分的附图描述了本公开的实施例，并且连同说明书一起用于解释本公开的原理。
参照附图，根据下面的详细描述，可以更加清楚地理解本公开，其中：
图1示出了本公开的变流器分配电能的方法的一些实施例的流程示意图。
图2示出了本公开的变流器的一些实施例的结构示意图。
图3示出了本公开的变流器的另一些实施例的结构示意图。
图4示出了本公开的电能分配系统的一些实施例的结构示意图。
具体实施方式
现在将参照附图来详细描述本公开的各种示例性实施例。应注意到：除非另外具体说明，否则在这些实施例中阐述的部件和步骤的相对布置、数字表达式和数值不限制本公开的范围。
同时，应当明白，为了便于描述，附图中所示出的各个部分的尺寸并不是按照实际的比例关系绘制的。
以下对至少一个示例性实施例的描述实际上仅仅是说明性的，决不作为对本公开及其应用或使用的任何限制。
对于相关领域普通技术人员已知的技术、方法和设备可能不作详细讨论，但在适当情况下，所述技术、方法和设备应当被视为授权说明书的一部分。
在这里示出和讨论的所有示例中，任何具体值应被解释为仅仅是示例性的，而不是作为限制。因此，示例性实施例的其它示例可以具有不同的值。
应注意到：相似的标号和字母在下面的附图中表示类似项，因此，一旦某一项在一个附图中被定义，则在随后的附图中不需要对其进行进一步讨论。
为使本公开的目的、技术方案和优点更加清楚明白，以下结合具体实施例，并参照附图，对本公开进一步详细说明。
随着电气直流化的快速发展，家用电器目前已经开始其直流化进程。如，光伏直驱变频空调系统，是采用光伏发电系统输出的直流电，对变频空调器提供能量。目前，这种光伏直驱变频空调系统仅包含一台空调器，且并网智能变流模块仍然集成在机组内部，空调系统并没有完全进行直流化升级。为了完成空调系统完全直流化升级，需要一拖多直流空调系统或多台直流空调系统，由一个集中智能变流器提供能量。然而，空调器在运行的过程中，所需的能量可能是变化的，智能变流器不能有效为每台空调器分配能量，导致能量不能被有效调度和高效利用。
本公开一些实施例中，提供了一种变流器分配电能的方法，该方法用于将供电端的能量分配给多个负载，例如，根据供电端的能量，对直流驱动变频空调系统中的负 载进行能量分配。该方法还可以应用于一拖多的交流空调系统，为方便说明，在一些实施例中，采用直流驱动变频空调系统为例进行介绍。具体的可以参见图1所示，该方法包括：
S10.按照负载数量和每个负载的额定能量需求，得到各个负载所需能量的分配系数。
在一些实施例中，负载以直流空调器为例进行说明。变流器的装机容量按照多台直流空调器的能量需求进行设计，如多台直流空调器的能量需求为5kW，则变流器的容量按照5kW设计。变流器供电端，如光伏发电系统，也按照5kW进行设计。负载数量在系统设计之初已确定，每台空调器的能量需求可以根据空调器的额定功率得到。每台空调器能量需求的分配系数，可以为各个空调器所需能量在总供能中所占的比例，例如：变流器总供能为1，空调器为5台，每台空调器的能量需求分别为1kW、1.5kW、3kW、2kW、2.5kW，则每台空调器所需能量的分配系数分别为0.1，0.15，0.3，0.2，0.25。在得到每台空调器所需能量的分配系数后，即可得到每台空调器所需的大概能量。可以按照每台空调器所需能量的分配系数，将供电端的初始可分配的能量预分配给各个负载，保证负载基本运行需求。供电端的初始可分配的能量，可以通过所有空调器的额定功率确定，即可以根据系统的总功率确定，在设计时，供电端的功率根据系统的总功率进行设计。
S20.获取每个负载的能量需求范围。
在一些实施例中，负载的能量需求范围，可以根据用户的使用习惯以及负载运行模式或外部环境确定。以空调器为例，在制冷、制热、除湿、换气等工作模式下，空调器所需的能量不同，并且，同一工作模式，不同功率条件下，空调器所需的能量也不同。例如，在制冷/制热时，空调器设定的温度不同，或室内的温度不同，空调器所需的能量也不同。如在制冷/制热时，用户感觉舒适的室内温度在一定范围变化，因此，每个空调器的能量需求也需要在一定的范围内变动，可以根据每个空调器的实际运行状况，得到每个空调器的能量需求范围。
S30.基于供电端的能量，按照每个负载的能量需求范围和所需能量的分配系数，给各个负载分配能量。在确定各个负载的能量需求浮动范围后，根据该浮动范围以及分配系数，给各个负载分配能量。
根据负载的个数以及每个负载的能量需求，确定各个负载所需能量的分配系数，即每个负载所需能量占总供能的比例，根据各个负载所需能量的分配系数以及能量需 求范围，给每个负载合理的分配能量，进而，可以提高能量的利用率，保证具有多个负载的用电系统的有效调度，保证了负载的能量需求可控，实现了系统能量的精细化管理和高效的利用。
在本实施例中，还可以根据各个负载的能量需求范围，即每个负载的所需能量的浮动范围，确定供电端的实际需要提供的总能量，可以在保证每个负载能量需求的前提下，将多余的能量进行存储，或者在该供电端供能不足时，在其他供电系统进行电能调度，进一步提高了系统能量的精细化管理和高效的利用。
在一些实施例中，给各个负载分配能量，包括两种分配方式。例如，在确定每个负载所需能量的分配系数后，获取供电端的初始可分配的能量；按照分配系数，根据初始可分配的能量给各个负载预分配能量；在将供电端提供的初始可分配能量，按照分配系数进行预分配之后，计算各个负载的能量需求范围。以空调器为例，可以基于用户基本舒适度，确定每台空调器的能量需求范围。以制冷/制热为例进行说明，制冷工况下，人体基本舒适度数据为23.2℃—27.8℃，制热工况下，人体基本舒适度数据为16.8℃—24.6℃。人体基本舒适度数据可根据实际应用进行调整。每台空调器的制冷/制热能量需求数据的计算可以参见如下公式：
Figure PCTCN2019105319-appb-000001
其中△Q n表示第n台空调器的可调整的制冷/制热功率，△Q n的取值范围可以代表负载能量需求范围，C表示建筑热容，△T rn表示第n台空调器根据人体基本舒适度可调整的温度差值。
根据制冷/制热能量需求与电功率之间的换算关系可知，每台空调器可调整的电功率可以通过如下公式表示：
Figure PCTCN2019105319-appb-000002
其中△P en表示第n台空调器可调整的电功率，λ cop表示空调能效比。
根据供电端初始可分配的能量和每个负载的能量需求范围，得到供电端最终可分配的能量；基于最终可分配的能量，按照分配系数对各个负载的能量进行重分配。根据各空调器可调整的电功率数据，得出最终供电端可分配能量总量如下公式表示：
P ef＝P e+△P e1+......+△P en
其中P ef表示供电端最终可分配的能量，P e表示供电端初始可分配的能量。在一个实施例中，供电端初始可分配的能量，根据负载用能需求并通过系统供电能力校准后 得到。
在一些实施例中，可以根据最终可分配的能量，对供电系统供能进行调整，在保证负载能量需求的前提下，将多余的能量进行存储，或者在供能不足时，在其他供电系统进行电能调度，进一步提高了系统能量的精细化管理和高效的利用。
在一些实施例中，在供电系统供能充足的情况下，可以采用另一种能量分配方式，例如，在确定每个负载所需能量的分配系数后，获取供电端的初始可分配的能量；基于初始可分配的能量，按照每个负载所需能量的分配系数，给各个负载预分配能量；对供电端提供的初始可分配能量，按照分配系数进行分配之后，对各个负载的能量需求范围进行计算。以空调器为例，可以基于用户基本舒适度，确定每台空调器的能量需求范围。具体的计算方法可以参见上述实施例中，对于负载能量需求范围计算的描述。
在计算每个负载能量需求范围之后，根据每个负载的能量需求范围和分配系数对供电端的能量进行调整；将调整后供电端剩余的能量，按照分配系数分配给各个负载。其中，供电端剩余的能量为各个负载实际运行所需能量之和与供电端的初始可分配的能量的差值。
在一些实施例中，根据每个负载的能量需求范围之和，计算供电端在初始可分配的能量的基础上调整的能量，将调整的能量，按照分配系数分配给各个负载。
本公开一些实施例，如图2所示，提供了一种变流器，该变流器用于根据供电端的能量，给多个负载分配能量，该变流器包括：计算模块10，被配置为按照负载数量和每个负载的额定能量需求，得到各个负载所需能量的分配系数；获取模块20，被配置为获取每个负载的能量需求范围；分配模块30，被配置为基于供电端的能量，根据能量需求范围和分配系数，给各个负载分配能量。
本公开实施例提供了一种变流器，如图3所示，该变流器包括一个或多个处理器31以及存储器32，图3中以一个处理器33为例。
变流器还可以包括：输入装置33和输出装置34。
处理器31、存储器32、输入装置33和输出装置34可以通过总线或者其他方式连接，图3中以通过总线连接为例。
处理器31可以为中央处理器(Central Processing Unit，CPU)。处理器31还可以为其他通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现场可编程门阵列 (Field-Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等芯片，或者上述各类芯片的组合。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
存储器32作为一种非暂态计算机可读存储介质，可用于存储非暂态软件程序、非暂态计算机可执行程序以及模块，如本申请实施例中的变流器分配电能的方法对应的程序指令/模块。处理器31通过运行存储在存储器32中的非暂态软件程序、指令以及模块，从而执行服务器的各种功能应用以及数据处理，即实现上述方法实施例变流器分配电能的方法。
存储器32可以包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需要的应用程序；存储数据区可存储根据用户终端操作的处理装置的使用所创建的数据等。此外，存储器32可以包括高速随机存取存储器，还可以包括非暂态存储器，例如至少一个磁盘存储器件、闪存器件、或其他非暂态固态存储器件。在一些实施例中，存储器32可选包括相对于处理器31远程设置的存储器，这些远程存储器可以通过网络连接至图像检测、处理装置。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
输入装置33可接收输入的数字或字符信息，以及产生与用户终端的处理装置的用户设置以及功能控制有关的键信号输入。输出装置34可包括显示屏等显示设备。
一个或者多个模块存储在存储器32中，当被一个或者多个处理器31执行时，执行如图1所示的方法。
本公开实施例还提供了一种非暂态计算机可读介质，非暂态计算机可读存储介质存储计算机指令，计算机指令用于使计算机执行如上述实施例中任意一项描述的变流器分配电能的方法。其中，存储介质可为磁碟、光盘、只读存储记忆体(Read-Only Memory，ROM)、随机存储记忆体(Random Access Memory，RAM)、快闪存储器(Flash Memory)、硬盘(Hard Disk Drive，缩写：HDD)或固态硬盘(Solid-State Drive，SSD)等；存储介质还可以包括上述种类的存储器的组合。
本公开实施例还提供了一种电能分配系统，如图4所示，包括上述实施例中变流器100、多个空调300和通讯装置400，变流器100一端与供电端200连接，另一端分别与多个空调300连接；通讯装置400被配置为实现变流器100和各个空调300之间的通信。
作为可选的实施例，供电端200可以包括：光伏发电系统、储能电池系统、风能 发电系统以及公共电网系统中的至少一个。通讯装置400可以包括：有线通讯装置或无线通讯装置；通讯装置的通讯方式包括：数据实时共享或主从通讯方式。
至此，已经详细描述了本公开。为了避免遮蔽本公开的构思，没有描述本领域所公知的一些细节。本领域技术人员根据上面的描述，完全可以明白如何实施这里公开的技术方案。
虽然已经通过示例对本公开的一些特定实施例进行了详细说明，但是本领域的技术人员应该理解，以上示例仅是为了进行说明，而不是为了限制本公开的范围。本领域的技术人员应该理解，可在不脱离本公开的范围和精神的情况下，对以上实施例进行修改。本公开的范围由所附权利要求来限定。

Claims (12)

  1. 一种变流器分配电能的方法，包括：
    按照负载数量和每个负载的额定能量需求，得到各个负载所需能量的分配系数；
    获取各个所述负载的能量需求范围；以及
    基于供电端的能量，按照所述能量需求范围和所述分配系数，给各个所述负载分配能量。
  2. 如权利要求1所述的变流器分配电能的方法，基于供电端的能量，按照所述能量需求范围和所述分配系数，给各个所述负载分配能量包括：
    获取所述供电端的初始可分配的能量；
    按照所述分配系数，根据所述初始可分配的能量，给各个所述负载预分配能量；
    根据所述初始可分配的能量和每个所述负载的能量需求范围，得到供电端的最终可分配的能量；以及
    基于所述供电端的最终可分配的能量，按照所述分配系数，对各个所述负载预分配的能量进行调整。
  3. 如权利要求1所述的变流器分配电能的方法，其中，所述基于供电端的能量，按照所述能量需求范围和所述分配系数，给各个所述负载分配能量包括：
    获取所述供电端的初始可分配的能量；
    按照所述分配系数，根据所述初始可分配的能量，给各个所述负载预分配能量；
    根据所述能量需求范围和所述分配系数，对所述供电端的能量进行调整；
    计算调整后所述供电端剩余的能量；以及
    将调整后所述供电端剩余的能量，按照所述分配系数分配给各个所述负载。
  4. 如权利要求1-3任意一项所述的变流器分配电能的方法，其中，所述负载包括空调器；
    所述获取所述负载的能量需求范围包括：
    获取每台空调器的运行数据；以及
    基于所述运行数据和预设运行参数，确定每台空调器的能量需求范围。
  5. 如权利要求4所述的变流器分配电能的方法，其中，
    所述运行数据包括空调器的运行模式；
    所述预设运行参数包括不同运行模式下的室内温度范围。
  6. 一种变流器，包括：
    计算模块，被配置为按照负载数量和每个负载的额定能量需求，得到各个负载所需能量的分配系数；
    获取模块，被配置为获取各个所述负载的能量需求范围；以及
    分配模块，被配置为基于供电端的能量，按照所述能量需求范围和所述分配系数，给各个所述负载分配能量。
  7. 一种变流器，包括：
    至少一个处理器；以及
    与所述至少一个处理器通信连接的存储器；所述至少一个处理器被配置为基于存储在所述存储器的指令执行如权利要求1-5任意一项所述的变流器分配电能的方法。
  8. 一种电能分配系统，包括：
    多个空调器；
    如权利要求6或7所述的变流器，一端用于与供电端连接，另一端与多个所述空调器连接；以及
    通讯装置，被配置为实现所述变流器和各个所述空调器之间的通信。
  9. 如权利要求8所述的电能分配系统，其中，所述供电端包括：
    光伏发电系统、储能电池系统、风能发电系统以及公共电网系统中的至少之一。
  10. 如权利要求8或9所述的电能分配系统，其中，所述通讯装置包括：
    有线通讯装置或无线通讯装置。
  11. 如权利要求8或9所述的电能分配系统，其中，所述通讯装置的通讯方式包括：
    数据实时共享或主从通讯方式。
  12. 一种计算机可读存储介质，其上存储有计算机程序指令，该指令被处理器执行时实现权利要求1-5任意一项所述的变流器分配电能的方法。
PCT/CN2019/105319 2018-10-24 2019-09-11 变流器及其分配电能的方法及电能分配系统 Ceased WO2020082926A1 (zh)

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