EP3127053A1 - Détermination de plans de distribution d'énergie pour un ensemble d'installations de production d'énergie - Google Patents

Détermination de plans de distribution d'énergie pour un ensemble d'installations de production d'énergie

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Publication number
EP3127053A1
EP3127053A1 EP15741841.9A EP15741841A EP3127053A1 EP 3127053 A1 EP3127053 A1 EP 3127053A1 EP 15741841 A EP15741841 A EP 15741841A EP 3127053 A1 EP3127053 A1 EP 3127053A1
Authority
EP
European Patent Office
Prior art keywords
energy
demands
renewable
offers
power
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.)
Withdrawn
Application number
EP15741841.9A
Other languages
German (de)
English (en)
Inventor
Nicolas DRÖSE
Jan-Gregor Fischer
Fabian Kraft
Leif Wiebking
Jan Wieghardt
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.)
Siemens AG
Original Assignee
Siemens AG
Siemens Corp
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 Siemens AG, Siemens Corp filed Critical Siemens AG
Publication of EP3127053A1 publication Critical patent/EP3127053A1/fr
Withdrawn legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • 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
    • H02J3/008—Circuit arrangements for power supply or distribution technologies responsive to energy trading
    • 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
    • H02J3/38—Arrangements for feeding a single network from two or more generators or sources in parallel; Arrangements for feeding already energised networks from additional generators or sources in parallel
    • H02J3/381—Dispersed generators
    • 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
    • H02J2101/00—Supply or distribution of decentralised, dispersed or local electric power generation
    • H02J2101/10—Dispersed power generation using fossil fuels, e.g. diesel generators
    • 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
    • H02J2101/00—Supply or distribution of decentralised, dispersed or local electric power generation
    • H02J2101/20—Dispersed power generation using renewable energy sources
    • 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
    • H02J2103/00—Details of circuit arrangements for mains or AC distribution networks
    • H02J2103/30—Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks
    • 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
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security
    • 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
    • Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/10—Energy trading, including energy flowing from end-user application to grid

Definitions

  • the invention relates to a method for determining energy distribution plans for an energy system network from energy plants, which at least include renewable energy producers, non-renewable energy producers and energy consumers, as well as an arrangement for coordinating an energy system network from such energy plants.
  • a power plant within a combined energy system, geographically dispersed and mostly diverse energy producers can be considered and coordinated as a single power plant (virtual power plant), i. tuned to energy delivery, operated.
  • a power plant network can also include energy consumers and energy storage, whereby the energy producers, energy consumers and energy storage can be operated in a coordinated manner.
  • ICREPQ'10, 2010 can be applied in In the case of an extension or change of the energy system network, it can only be adapted with great effort.
  • the invention has the object to operate any power plant networks technically, environmentally and economically meaningful.
  • the He ⁇ invention the object to achieve increased utilization of renewable energy producers Einspeisepotentials and a low-complexity adaptability determining the Energyver ⁇ division plans to changes in the power plant network.
  • the invention has for its object to provide an arrangement for the advantageous coordination of a power plant network.
  • This object is inventively achieved by a method for determining energy distribution plans for a power plant system of turbines which comprise at least RETRY ⁇ newable energy producer, non-renewable energy producers and energy consumers, as well as an arrangement for the co-ordination of an energy plant network of such Energyan ⁇ lay.
  • Advantageous embodiments and advantages of the invention will become apparent from the further claims and the description and are related to the method and the arrangement.
  • the invention is based on a network of energy from at least renewable energy producers, non-renewable energy producers and energy consumers. Among others, the following properties and advantages speak in favor of the use of such an energy system network:
  • energy plant associations are made Renew ⁇ cash energy producers (eg. Wind power, hydropower, photon tovoltaikanlagen) and non-renewable energy producers (eg. Gas, coal, nuclear power plants) to stabilize the energy supply of the most fluctuating and sometimes uncontrollable renewable energy producers .
  • Renew ⁇ cash energy producers eg. Wind power, hydropower, photon tovoltaikanlagen
  • non-renewable energy producers eg. Gas, coal, nuclear power plants
  • a first Energyvertei ⁇ development plan is first determined from energy Offered by renewable energy generators of the power system interconnection and Energynach ⁇ ask of energy consumers of the power plant network.
  • a second energy distribution plan is determined from energy supply and / or energy demands not met by the first energy distribution plan and at least from energy offers from the non-renewable energy producers of the energy system network.
  • An energy distribution plan in the sense of the present invention is a convention aimed at a predefinable period of time.
  • Section is responsible for coordinating an energy feed into a power grid or a power supply from a power grid of energy installations participating in the energy system network.
  • a power distribution plan can be so used to coordinate the operation of participating in the power system network Ener ⁇ gieanlagen.
  • Renewable energy producers are plants for energy production (more precisely, energy conversion) using renewable energy sources, such as wind power, hydropower, solar radiation, geothermal and renewable resources.
  • Non-renewable energy producers are plants for energy production using non-renewable, especially fossil, energy sources. Such plants are, for example, coal-fired power plants, natural gas power plants and nuclear power plants.
  • a power supply according to the present invention is a to the future, in particular to a predeterminable time ⁇ space, directed supply for feeding energy into a power grid through a participating in the power plant system power installation.
  • An energy demand within the meaning of the present invention is a demand for the future, in particular for a predeterminable period, for the acceptance of energy from a power network by an energy system participating in the energy system network.
  • Both the energy deals and the energy demands may preferably be in the form of processable kausanla ⁇ gen data.
  • the invention is based on the over ⁇ interpretation that advertising considered to meet existing energy demands of energy consumers initially only the energy deals he ⁇ renewable energy producers the. If this leads to an overcollateralization or underfunding, ie if these can not be fulfilled, then first the energy offers of the non-renewable energy producers will be considered.
  • the energy demands of energy consumers can also be satisfied if the energy deals the RETRY ⁇ trollable energy producers are not sufficient to fulfill.
  • the risk is reduced that Energyach ⁇ questions remain unfulfilled and it comes to an impairment of energy consumers or the power grid.
  • the invention and / or any further development described can also be realized by a computer program product which has a storage medium on which a computer program is stored which carries out the invention and / or the further development.
  • a respective timetable is adjusted depending technical operating parameters of the respective power plant and / or in response to determining parameters at least for a part of participating in the power plant system power ⁇ plants and the demand for energy and / or the energy supply of the jeweili ⁇ gen power installation in dependence of their respective adjusted operating timetable.
  • An operating timetable (also: operating strategy) in the sense of the present invention is a project for operating an energy plant, preferably aimed at a predefinable period of time.
  • the operating schedule may define future operating conditions, such as operation at a part load or full load, of the power plant.
  • Determining parameters in the sense of the present invention are definable data which is used for the calculation of the Energyvertei ⁇ development plans, in particular a start and / or end of the energy distribution, a beginning and / or end of the detection period, a detection protocol and a determination syntax.
  • the operating timetables are adjusted in their entirety and therefore taking into account a much higher number of parameters, so a cost-effective adjustment of the operating timetable can be done.
  • the energy supply and / or the energy demand of the respective energy system is / are determined depending on their respective adapted operating timetable. In simple terms can be as a comparatively ⁇ as little complexity as determining the energy deals and / or energy demands are realized, since only local operating strategies or operating timetables of the individual ⁇ nen energy systems are considered locally (ie of the individual energy system).
  • the energy offers and / or energy demands are determined decentrally and transmitted to a, preferably central, device for determining the energy distribution plans.
  • Decentralized in the present context means spatially and / or at least partially information technology separately from the determination of energy demands and / or energy offers of other energy systems.
  • the preferably central facility is an instance to which energy demands and energy offers are transmitted. It can be at least locally separated from a part of the power plants. In this way, in the case of competing property behaves ⁇ nit can be prevented that energy offers can be seen by competing owners and / or Ener ⁇ gienacht, whereby a direct competition harmful information exchange is at least made difficult.
  • each of the energy demands and offers each of the energy in each case at least one priority and minimum ⁇ a lot on.
  • the Ener ⁇ gienacht and energy deals may also be in the form of func- tions, the quantities available mapped to priorities.
  • An amount within the meaning of the present invention is an amount of energy that can be fed into the power grid or obtained from the power grid by the energy system that supplies the energy supply or the energy demand.
  • the priority can designate a place value of the energy supply or the energy demand within a ranking of energy demand or energy demand in the determination of the energy distribution plan. That is to say, a comparatively high priority of an energy supply or an energy demand leads to a comparatively higher ranking, that is, as a rule earlier, fulfillment by the energy distribution plan.
  • the priority is given in the form of a Behaves ⁇ Nisses of cost per amount of energy, for example in € / kWh. It can advantageously be as declared in sectionmen ⁇ gen divisible a lot. If there are several energy offers or energy demands from one and the same energy installation, the energy offers or energy demands can be assigned a fulfillment sequence.
  • At least the energy offers of the non-renewable energy producers are adjusted as a function of the energy offers and / or energy demands not met by the first energy distribution plan.
  • An energy supply is considered to be not fulfilled if the amount of energy at the disposal of the energy supply is not taken into account within the first (or further) energy distribution plan, ie not provided for future feed-in by the supplying energy producer into a power grid.
  • a power demand will not be met if the attached ⁇ asked desired amount of energy is therefore not not provided within the first (or other) power distribution schedule into account ⁇ Untitled, for future supply of paid energy consumer from a power supply system is.
  • the second energy distribution plan is determined at least from energy offers and / or energy demands from energy stores participating in the energy system network, the energy offers and / or the energy demands of the energy stores being adjusted as a function of the energy offers and / or energy demands not fulfilled by the first energy distribution plan ,
  • Energy storage for example, battery systems, flywheels or water pump storage units. Energy storage effect depending on the operating mode -Laden or unloading the memory- an energy intake or an energy output.
  • this optimization is done on globa ⁇ ler level, ie at the level of the power plant network. This is to be separated from the optimization of the operating timetables at the local level described above, ie at the level of the individual energy plants.
  • the optimization method is carried out using functions which are assigned to the non-renewable energy generators and / or energy stores, wherein the functions in each case reproduce a course of a priority over a quantity.
  • the relative operating costs of the respective power plants can be used.
  • the relative operating costs of a non-renewable energy producer may be determined taking into account acquisition, depreciation, personnel, fuel, maintenance and overhaul costs.
  • the relative operating costs of an energy storage device may be determined taking into account costs based on the current state of charge based on aging effects and efficiencies.
  • the optimization method is carried out to minimize costs for the fulfillment of the energy offers and / or energy demands not fulfilled by the first energy distribution plan and / or for the optimization of operating points of the non-renewable energy producers.
  • At least the first energy distribution plan is determined by an allocation of energy offers and energy demands.
  • the assignment can be made in the form of a balance, a Paarbil ⁇ dung or a mathematical operation. This allocation preferably takes place using data representing the energy demands or the energy offers.
  • the energy offers and energy demands are assigned using a double auction.
  • a double auction is a method known from the prior art (eg http://de.wikipedia.org/wiki/Stromb0rse).
  • the double auction can be carried out continuously or discontinuously.
  • energy demands and energy offers can together amount ⁇ leads or be associated with each other for a "first-come-first-served" method.
  • the method is carried out at predeterminable times.
  • the times can be predetermined by a central office and transmitted to the participating in the energy system network energy systems.
  • the method at time points that are within a specifiable time interval, Runaway ⁇ leads is.
  • the power plant system or at least one turbine of the power plant network ⁇
  • the power distribution plans coordinated operated or at least the first or second, in particular of the second power distribution Plan.
  • a stable, decentralized Energyerzeu ⁇ admixture with feed preferably be achieved by renewable energy generator to minimize the energy from non-renewable sources of energy, wherein the natural fluctuations in energy from renewable energy
  • a high level of delivery reliability is achieved even in the case of strong fluctuations in energy demand by energy consumers.
  • the invention also relates to an arrangement for
  • the power plant network has at least one processor unit.
  • the at least one processor unit is set up such that each operation schedules of the turbines anläge in depen ⁇ dependence technical operating parameters of the energy and / or are adjustable in dependence on further parameters, in each case an energy demand and / or a power supply of the respective power plant in dependence of their respective a first energy distribution plan of energy offers from the renewable energy producers and energy demands of the energy consumers can be determined and a second energy distribution plan from the first energy distribution plan unfulfilled energy supply and / or energy demand and at least from energy sources can be determined by the non-renewable energy producers.
  • the arrangement can be arranged centrally, for example in a control room for coordinating the energy system network.
  • components of the arrangement are arranged centrally, preferably in the control rooms of the individual energy installations.
  • the ANPAS ⁇ solution of the operational plans and the determination of Energynachfra ⁇ gene and / or energy rates through the decentrally arranged components of the arrangement can be made.
  • the determination of the energy distribution plans can be carried out by a separate component or several separately provided components of the arrangement.
  • the invention and / or its developments can be recapitulated as follows: The invention and / or its refinements are / is based on the idea to enable the coordination of a network of energy systems through the use of energy distribution plans to be determined.
  • the energy offers non-Renew ⁇ cash energy producers and / or energy storage devices as needed to be taken into account in a second step, wherein an adaptation or optimization, taking into account predeterminable criteria, is made to the not yet fulfilled energy quota.
  • the feed-in of a maximum share of renewable energy can be given a high priority (eg in the form of a low sales price), high operating costs point stability of non-renewable energy producers (eg by appropriate adaptation of the assigned function in each negotiation step), an optimization of Batterieein ⁇ rate with respect to the battery aging (eg, by punishment high charging or discharging rates in the form of correspondingly changed functions), a complete Fulfillment of individual load levels of energy consumers and / or a ranking for their fulfillment within the energy distribution plans specified.
  • a high priority eg in the form of a low sales price
  • high operating costs point stability of non-renewable energy producers eg by appropriate adaptation of the assigned function in each negotiation step
  • an optimization of Batterieein ⁇ rate with respect to the battery aging eg, by punishment high charging or discharging rates in the form of correspondingly changed functions
  • a complete Fulfillment of individual load levels of energy consumers and / or a ranking for their fulfillment within the energy distribution plans specified e.g, by punishment high charging
  • FIG 2 is an illustration of a partial aspect of the method of Fig. 1
  • FIG 1 shows a schematic representation of an iterative market-based method for coordinating an energy plant. gene composite, which includes the inventive method for He ⁇ tion of energy distribution plans as sub-aspects.
  • the diagram shown in FIG 1 shows an exporting ⁇ approximately example in which the inventive method is embedded in an iterative technical process, in which information technology in each iteration representatives 100 of individual turbines, and more power generators, power consumers and, if necessary, energy stores, on a market-based coordination and decentralized optimization of energy generators in power plant system to cover energy ⁇ ask of energy consumers participate (hereinafter referred to negotiation).
  • negotiation a market-based coordination and decentralized optimization of energy generators in power plant system to cover energy ⁇ ask of energy consumers participate
  • the representative 100 and the representatives may alternatively be construed as a physical part of an arrangement for coordinating the turbine composite of Energyanla ⁇ gene and (each) have a processor unit.
  • the actual coordination is performed by a, preferably central, entity 200 (balance master) on a so-called global level 201.
  • This instance 200 may alternatively be construed as a physical part of an arrangement for coordinating the turbine composite of turbines ⁇ have the and a processor unit.
  • the iteration interval (also negotiation interval) can here be arbitrarily fixed ⁇ and last for example 15 minutes and refers to a so-called. Delivery date, ie on a future date for feeding energy into a power grid by participating in the energy plant network energy producers or for the purchase of energy from a power grid by the participating energy consumers.
  • the information technology representatives 100 of the power plants each receive initial configurations (device config.) 4 or Configuration changes which may contain specific properties and boundary conditions (prognosis / measurement data) 6 (also: operating parameters) for the respective energy system (eg rated power, starting ramps, synchronization points and efficiency curves for diesel generators, switch-off sequences of loads).
  • initial configurations device config.
  • Configuration changes which may contain specific properties and boundary conditions (prognosis / measurement data) 6 (also: operating parameters) for the respective energy system (eg rated power, starting ramps, synchronization points and efficiency curves for diesel generators, switch-off sequences of loads).
  • These operating parameters 6 can be arbitrarily defined in terms of type and number, since this information only needs to be processed on the local level 101 by the respective representative 100 of the energy system.
  • the thus determined negotiation strategies 12 each serve as a basis for the adaptation of the local operation ⁇ schedules (schedule optimization) 14th
  • the planned or adapted operating timetables are in turn used for the determination (proposal generation) 16 of energy offers or energy requests 18 by the respective representative 100 for the currently negotiated delivery period.
  • This energy offers and / or power demands 18 are sent to the global plane 201 (proposal submission) 20 and there in accordance with the process described in FIG 2 aspect of the method of combined (market clearing) 22 for He ⁇ averaging of power distribution plans (contract formation) 24th
  • the corresponding power distribution plans 26 based on a respective local strategy (post-negotiation strategy) 28 (as the basis for a repeated adaptation or Affirmation ⁇ account the local operating schedules schedule confirmation ) 30 are used.
  • the operating timetables are updated (schedule update) 32 respectively in the current iteration of the negotiation, in accordance with the changed situation in the energy market, before the next iteration of the negotiation is started.
  • FIG. 2 as a partial aspect of the iterative market-based method illustrated in FIG. 1, the allocation of the energy demands and energy offers 18 and the determination of the energy distribution plans 26 are schematically illustrated.
  • the global entity 200 (balance master) on the global level 201 comprises two combined methods for determining the energy distribution plans 24 or for allocating the energy bids and energy demands 22:
  • Double auction 34 initially recorded until the end of a negotiation power demands 18a of energy consumers of a set of 36a and 38a to a priority and energy In ⁇ messenger 18b of renewable energy generators from a set 36b and a priority 38b.
  • This energy rates and energy ⁇ gienachmut (hereinafter Bid) are assigned to the "come-first-served ridge" method in the case of continu- ous double Auctions for example, after.
  • Bid energy rates and energy ⁇ gienachmut
  • the double auction 34 combined with a downstream optimization method 40.
  • the optimization method 40 optimizes the energy offers and / or energy demands 18c of non-renewable energy generators and energy stores 18d, which together can fulfill as a virtual unit the 42 energy offers and / or energy demands (also: delta) not fulfilled by the first energy distribution plan 26a.
  • this energy tenders or Energynach ⁇ ask 18c are, 18d as functions 44a, 44b priorities 38c, 38d of the quantities 36c, 36d before.
  • the energy storage must include the negative delta 42 and possibly parts of the energy offer of non-renewable energy generators (if appropriate generators can be switched on immediately draw ⁇ ), for example in turn.
  • this is expressly desired in some operating situations in order, for example, to anticipate a foreseeable, sharp decline in the amount of energy from renewable energy producers.
  • the energy storages have the possibility of actively influencing whether and what amounts of energy are to be released or absorbed by suitably defining the value ranges of their functions and by determining appropriate quantities.
  • the optimization method 40 may be, for example, a multi-target optimization known from the prior art using an iterative equation solver.
  • the optimization method can be specified as follows: where i is the number of non-renewable energy producers and / or energy stores participating in the energy system network: minimize ⁇ (x ⁇ * f ( x i)),
  • the optimization results of the double auction will be attached 46 so that they can be merged with the aggregated bids of energy demand and energy from renewable energy sources that are still available.
  • the result is a second Energyvertei ⁇ development plan 26b. This may lead to an imbalance due to deviating priorities, despite balancing of generation and load, so that, for example, due to low demand priority, a load is not met. So that Optimtechnikser ⁇ result is no longer in line with the expected result of the merge. This deviation can be resolved, for example, by two different methods.
  • a monotone target function in the optimization may for example be a monotonically decreasing function that Prio ⁇ rities calculated (eg cost or price in Euro cents per kWh) over the energy in kWh.
  • Prio ⁇ rities calculated (eg cost or price in Euro cents per kWh) over the energy in kWh.
  • the system can decide optimization without further optimization generation from non-renewable energy producers to increase to meet as quickly as possible all Energynachfra ⁇ gen of energy consumers.
  • This method is favored as one of the main objectives of the Energyanla ⁇ genverbunds is to meet the full load or the quickest possible load coverage for a partial load shedding.
  • This method can be Darge ⁇ up in pseudo-code as follows:

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Abstract

L'invention concerne un procédé de détermination de plans de distribution d'énergie (26) pour un ensemble d'installations de production d'énergie, lesquelles comprennent au moins des producteurs d'énergie renouvelable, des producteurs d'énergie non renouvelable et des consommateurs d'énergie. Selon le procédé, un premier plan de distribution d'énergie (26a) est déterminé (22, 24) à partir des offres d'énergie (18b) des producteurs d'énergie renouvelable et des demandes d'énergie (18a) des consommateurs d'énergie, et un deuxième plan de distribution d'énergie (26b) est déterminé (22, 24) à partir des offres d'énergie et/ou des demandes d'énergie non satisfaites (42) par le premier plan de distribution d'énergie (26a) et au moins à partir des offres d'énergie (18c) des producteurs d'énergie non renouvelable. L'invention concerne par ailleurs un système (100, 200) destiné à coordonner un ensemble d'installations de production d'énergie composé d'installations de production d'énergie de ce type. Le système comprend une unité centrale, conçue pour mettre en œuvre le procédé selon l'invention et/ou les perfectionnements de ce dernier.
EP15741841.9A 2014-04-03 2015-03-26 Détermination de plans de distribution d'énergie pour un ensemble d'installations de production d'énergie Withdrawn EP3127053A1 (fr)

Applications Claiming Priority (2)

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DE102014206457 2014-04-03
PCT/EP2015/056529 WO2015150211A1 (fr) 2014-04-03 2015-03-26 Détermination de plans de distribution d'énergie pour un ensemble d'installations de production d'énergie

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EP3127053A1 true EP3127053A1 (fr) 2017-02-08

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DE102016112249A1 (de) 2016-07-05 2018-01-11 Dr. Ing. H.C. F. Porsche Aktiengesellschaft Verfahren zur Verteilung von Energie in einem Hausenergieversorgungssystem
CN117748626B (zh) * 2024-01-05 2024-10-15 内蒙古电力(集团)有限责任公司阿拉善供电分公司 一种终端配电网的有功控制方法及系统

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US7274975B2 (en) * 2005-06-06 2007-09-25 Gridpoint, Inc. Optimized energy management system
EP2504949B1 (fr) * 2009-11-24 2019-05-01 LG Electronics Inc. Système de réseau et procédé de commande d'un système de réseau
US8417391B1 (en) * 2011-12-15 2013-04-09 Restore Nv Automated demand response energy management system

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