CN110676863B - Energy storage optimal configuration method and system - Google Patents
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- H—ELECTRICITY
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- H02J—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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention provides an energy storage optimal configuration method and system, wherein the energy storage optimal configuration method comprises the following steps: determining the peak time period discharge price of the energy storage power station, determining the valley time period charge price of the energy storage power station, and determining the auxiliary service compensation price of the energy storage power station participating in peak regulation; determining the maximum net gain of the energy storage power station based on the peak time period discharge price of the energy storage power station, the valley time period charge price of the energy storage power station and the auxiliary service compensation price of the energy storage power station participating in peak shaving; and determining the capacity configuration of the energy storage power station based on the maximum net income and the constraint conditions of the energy storage power station. According to the energy storage optimal configuration method, the system, the electronic equipment and the storage medium, the energy storage power station is optimally configured based on the price mechanism, and the optimal capacity configuration of the energy storage power station can be determined, so that the benefit of the energy storage power station can be maximized, and the large-scale application of the energy storage power station is facilitated.
Description
Technical Field
The present invention relates to the field of energy storage, and more particularly, to an energy storage optimal configuration method, system, electronic device, and storage medium.
Background
In recent years, with the annual increase of the total power consumption, the peak-valley difference of the user load is increasingly increased, the staged power peak is obviously improved, meanwhile, the diversification of the power consumption load types in the power distribution network, the differentiation and the individuation of the user requirements are realized, the requirement of the user on the power supply quality is continuously improved, and the high requirement on environmental protection is met, the requirement on the diversification of the electric energy of the user is met while the high-efficiency utilization of clean energy is improved, however, the utilization rate of the clean renewable energy is low, the user lacks the response to a market mechanism, the load peak-valley difference is large, and the lack of an efficient interactive operation mechanism and the like are still ubiquitous problems.
The energy storage power station incorporated into the power distribution network has application functions of improving the influence of high-permeability distributed energy on a grid-connected point, solving the problems of wind abandoning, light abandoning and water abandoning, stabilizing the output fluctuation of the distributed power supply, clipping peaks and filling valleys, improving the power supply quality and the like, so that the energy storage power station becomes an important component for supporting the construction of a smart power grid and an energy internet in the future. Meanwhile, along with the improvement of the technical performance and the reduction of the cost of the energy storage power station, the economical efficiency of the battery energy storage power station technology with long service life, low cost and high energy conversion efficiency is gradually highlighted, and the application of the energy storage power station technology is gradually shifted from project demonstration to commercial operation.
However, in the related art, the capacity configuration of the energy storage power station is difficult to design, especially, the capacity configuration of part of the energy storage power stations is too large, so that the investment cost is high, the equipment is idle, and the capacity configuration of part of the energy storage power stations is too small, so that the matching requirements are difficult to meet, and the application of the energy storage power stations is restricted.
Disclosure of Invention
Embodiments of the present invention provide a solution to, or at least partially solve, the above problems.
In a first aspect, an embodiment of the present invention provides an energy storage optimization configuration method, including: determining the peak time period discharge price of the energy storage power station, determining the valley time period charge price of the energy storage power station, and determining the auxiliary service compensation price of the energy storage power station participating in peak regulation; determining the maximum net gain of the energy storage power station based on the peak time period discharge price of the energy storage power station, the valley time period charge price of the energy storage power station and the auxiliary service compensation price of the energy storage power station participating in peak shaving; and determining the capacity configuration of the energy storage power station based on the maximum net income and the constraint conditions of the energy storage power station.
In some embodiments, the maximum net gain of the energy storage power station is determined based on the high-storage low-discharge arbitrage of the energy storage power station, the auxiliary service compensation of the energy storage power station participating in peak shaving, the daily investment cost and the daily operation and maintenance cost of the energy storage power station.
In some embodiments, the maximum net profit of the energy storage power station is determined based on high storage and low discharge arbitrage of the energy storage power station, auxiliary service compensation of the energy storage power station participating in peak shaving, investment cost and operation and maintenance cost of the energy storage power station reduced to daily, and the method includes: using formulas
Determining a maximum net gain of the energy storage power station, wherein f is the net gain of the energy storage power station, f1The method is characterized in that the method is used for high-storage low-discharge arbitrage of an energy storage power station, T is a scheduling period, T is a time interval, Cr(t) the price of electricity in the corresponding time period, Ps(t) is the power of the energy storage power station in the corresponding time period, f2Auxiliary service compensation for energy storage stations participating in peak shaving, CPLCompensating prices for peak shaving in energy storage power stations, Pwloss,tThe abandoned electricity quantity per hour before configuration of the energy storage power station is P'wloss,tElectricity discard per hour after configuration for energy storage power station, f3Investment costs and operational maintenance costs reduced to everyday for energy storage power stations, fcFor capital recovery factor, r is annual rate, TEFor the actual service time, alpha, of the energy storage plant in its life cyclesPower unit price, beta, reduced to annuity for energy storage power stationssReduced to annual capacity unit price, P, for energy storage power stationscapFor rated charge-discharge power of energy-storage power stations, ScapFor rated capacity of energy storage power station, fEFor unit investment cost of energy storage power station, fOMIs the unit operating maintenance cost, and epsilon is the proportion of the cost.
In some embodiments, the constraints include: the power and the charge state of the energy storage power station are restricted, and the charge and discharge state of the energy storage power station is restricted.
In some embodiments, the power and state of charge constraints of the energy storage power plant include: using formulas
Is determined in which Ps(t) charging and discharging power of the energy storage power station at t time interval, SoCtFor the state of charge, P, of the energy-storing power station during the period tmax,tAnd SoCmax,tThe maximum value of the charging and discharging power and the maximum value of the state of charge of the energy storage power station in the t period are respectively.
In some embodiments, the energy storage power station charge-discharge state constraints include: using formulas
Determination of λtFor charging or discharging status signs of energy-storing power stations, wherein λt0 denotes that the energy storage station is in an idle float state, λt1 is charged state, λt-1 is in the discharged state.
In some embodiments, the determining the energy storage plant peak period discharge price comprises: using formulas
Determining the peak period discharge price of the energy storage power station, wherein CPFor peak period discharge price of energy storage power station, CtSelling the electricity price for the common electricity consumption of the user side, wherein Delta R is the sum of the investment cost and the operation cost of the energy storage power station, TEFor the actual time of use, P, in the life cycle of the energy-storing power stationWRated active power for energy storage power stations, CGSubsidizing the cost for the energy storage power station;
or, the determining the charging price of the energy storage power station in the valley period comprises: using formulas
Determining the energy storage power station valley period charging price, wherein CTOCharging price for energy storage station in valley period, CtSelling the electricity price for the common electricity consumption of the user side, wherein Delta R is the sum of the investment cost and the operation cost of the energy storage power station, TEFor the actual time of use, P, in the life cycle of the energy-storing power stationWRated active power for energy storage power stations, CGSubsidizing the cost for the energy storage power station;
or, the determining the auxiliary service compensation price of the energy storage power station participating in peak shaving includes: using formulas
CPL＝CG+Ca，
Determining an auxiliary service compensation price for the energy storage power station participating in peak shaving, wherein CPLCompensating prices for auxiliary services participating in peak shaving in energy storage plants, CGSubsidizing costs for energy storage power stations, CaThe marginal cost of the energy storage power station participating in peak shaving is provided.
In a second aspect, an embodiment of the present invention provides an energy storage optimal configuration system, including: the first processing unit is used for determining the peak period discharge price of the energy storage power station; the second processing unit is used for determining the charging price of the energy storage power station in the valley period; the third processing unit is used for determining the auxiliary service compensation price of the energy storage power station participating in peak shaving; the fourth processing unit is used for determining the maximum net gain of the energy storage power station based on the peak time interval discharge price of the energy storage power station, the valley time interval charge price of the energy storage power station and the auxiliary service compensation price of the energy storage power station participating in peak regulation; and the fifth processing unit is used for determining the configuration of the energy storage power station based on the maximum net income and the constraint conditions of the energy storage power station.
In a third aspect, an embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the method provided in the first aspect when executing the program.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the method as provided in the first aspect.
According to the energy storage optimal configuration method, the energy storage optimal configuration system, the electronic equipment and the storage medium, the energy storage power station is optimally configured based on the price mechanism, and the optimal capacity configuration of the energy storage power station can be determined, so that the benefit of the energy storage power station can be maximized, and the large-scale application of the energy storage power station is facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a flowchart of an energy storage optimization configuration method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an energy storage optimization configuration system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An energy storage optimization configuration method according to an embodiment of the present invention is described below with reference to fig. 1, and the energy storage optimization configuration method can be used for determining capacity configuration of an energy storage power station.
As shown in fig. 1, the energy storage optimization configuration method according to the embodiment of the present invention includes the following steps:
step S100, determining the peak time period discharge price of the energy storage power station, determining the valley time period charge price of the energy storage power station, and determining the auxiliary service compensation price of the energy storage power station participating in peak shaving.
It should be noted that the energy storage power station is in a discharge operation mode during the peak period of power consumption, and discharges to the power grid, the peak period discharge price of the energy storage power station represents the selling price of the energy storage power station, the peak period of power consumption may be 9-13 points, 19-21 points, and the like, and the peak period of power consumption may be determined according to seasons.
In order to encourage the building of the energy storage power station, generally, when the energy storage power station participates in peak shaving, price arc compensation is provided, and the auxiliary service compensation price of the energy storage power station participating in peak shaving is the subsidy price of the energy storage power station participating in peak shaving.
The energy storage power station is in a charging working mode at the electricity consumption valley period, that is, the electric energy of the power grid is consumed and stored, for example, the electric energy can be converted into heat energy through the energy storage device for storage, the charging price at the energy storage power station valley period is the electricity purchasing price of the energy storage power station, and the electricity purchasing price is usually lower than the electricity selling price.
And S200, determining the maximum net profit of the energy storage power station based on the peak time period discharge price of the energy storage power station, the valley time period charge price of the energy storage power station and the auxiliary service compensation price of the energy storage power station participating in peak shaving.
The profit of energy storage power station is derived from high-storage low-discharge arbitrage and supplementary service subsidy, and this step can calculate the biggest net profit of energy storage power station through above-mentioned price, and this biggest net profit is relevant with the capacity configuration of energy storage power station, if capacity configuration is too big, can cause investment cost big, and equipment is idle, if capacity configuration undersize, can cause and be difficult to the demand of matching.
And S300, determining the capacity configuration of the energy storage power station based on the maximum net income and the constraint conditions of the energy storage power station.
Based on the maximum net gain of the energy storage power station, under the condition that constraint conditions are met, the configuration of the energy storage power station and the configuration of the energy storage power station can be solved, wherein the configuration of the energy storage power station comprises the capacity configuration of the energy storage power station, and the capacity configuration mainly refers to the capacity of an energy storage device of the energy storage power station.
That is, when designing the capacity configuration, both satisfying the constraint adjustment and enabling the energy storage plant to achieve the maximum net gain.
According to the energy storage optimal configuration method, the energy storage power station is optimally configured based on the price mechanism, and the optimal capacity configuration of the energy storage power station can be determined, so that the benefit of the energy storage power station can be maximized, and the large-scale application of the energy storage power station is facilitated.
In some embodiments, the determining the energy storage plant peak period discharge price in step S100 includes: using formulas
Determining the peak period discharge price of the energy storage power station, wherein CPFor peak period discharge price of energy storage power station, CtSelling the electricity price for the common electricity consumption of the user side, wherein Delta R is the sum of the investment cost and the operation cost of the energy storage power station, TEFor the actual time of use, in particular T, in the life cycle of the energy storage power stationEFor hours, P, used in the life cycle of the energy storage power stationWRated active power for energy storage power stations, CGThe cost is subsidized for the energy storage power station.
In some embodiments, the determining the energy storage valley time charging price in step S100 includes: using formulas
Determining the charging price of the energy storage power station in the valley period, wherein CTOCharging price for energy storage station in valley period, CtSelling the electricity price for the common electricity consumption of the user side, wherein Delta R is the sum of the investment cost and the operation cost of the energy storage power station, TEFor the actual time of use, in particular T, in the life cycle of the energy storage power stationEFor hours, P, used in the life cycle of the energy storage power stationWRated active power for energy storage power stations, CGThe cost is subsidized for the energy storage power station.
In some embodiments, the determining the auxiliary service compensation price for the energy storage power station participating in peak shaving in step S100 includes: using formulas
CPL＝CG+Ca，
Determining an auxiliary service compensation price for the energy storage power station participating in peak shaving, wherein CPLCompensating prices for auxiliary services participating in peak shaving in energy storage plants, CGSubsidizing costs for energy storage power stations, CaThe marginal cost of the energy storage power station participating in peak shaving is provided.
In some embodiments, the maximum net gain of the energy storage power station is determined based on the high-storage low-discharge arbitrage of the energy storage power station, the auxiliary service compensation of the energy storage power station participating in peak shaving, the investment cost and the operation and maintenance cost of the energy storage power station reduced to daily.
In other words, the respective major costs of the energy storage power stations and the major revenue sources are comprehensively analyzed, and the maximum net profit of the energy storage power stations is determined, and is related to the capacity configuration of the energy storage power stations.
In some embodiments, the determination of the maximum net gain of the energy storage power station for the high-storage low-discharge arbitrage based on the energy storage power station, the auxiliary service compensation of the energy storage power station participating in peak shaving, the daily investment cost and the daily operation and maintenance cost of the energy storage power station comprises: using formulas
And determining the maximum net gain of the energy storage power station, wherein f is the net gain of the energy storage power station.
f1The method is characterized in that the method is used for high-storage low-discharge arbitrage of an energy storage power station, T is a scheduling period, T is a time interval, Cr(t) is the corresponding time period electricity price, such as at peak time period Cr(t)＝CPAt the valley period Cr(t)＝CTO，PsAnd (t) is the power of the energy storage power station in a corresponding time period.
f2Auxiliary service compensation for energy storage stations participating in peak shaving, CPLCompensating prices for peak shaving in energy storage power stations, Pwloss,tThe abandoned electricity quantity per hour before configuration of the energy storage power station is P'wloss,tAnd the electricity discard amount per hour after the configuration of the energy storage power station.
f3Investment costs and operational maintenance costs reduced to everyday for energy storage power stations, fcFor capital recovery factor, r is annual rate, e.g. r is 0.1, TEFor the actual service time, alpha, of the energy storage plant in its life cyclesThe unit price of power for the energy storage power station is reduced to annual power unit price.
βsReduced to annual capacity unit price, P, for energy storage power stationscapFor rated charge-discharge power of energy-storage power stations, ScapFor rated capacity of energy storage power station, fEFor unit investment cost of energy storage power station, fOMIs the unit operating maintenance cost, and epsilon is the proportion of the cost.
In some embodiments, the constraints include: the power and the charge state of the energy storage power station are restricted, and the charge and discharge state of the energy storage power station is restricted.
Specifically, power and state of charge constraints of energy storage power stations include: using formulas
Is determined in which Ps(t) charging and discharging power of the energy storage power station at t time interval, SoCtFor the state of charge, P, of the energy-storing power station during the period tmax,tAnd SoCmax,tThe maximum value of the charging and discharging power and the maximum value of the state of charge of the energy storage power station in the t period are respectively.
Specifically, the energy storage power station charge-discharge state constraint includes: using formulas
Determination of λtFor charging or discharging status signs of energy-storing power stations, wherein λt0 denotes that the energy storage station is in an idle float state, λt1 is charged state, λt-1 is in the discharged state.
According to the energy storage optimal configuration method, the set price mechanism of the energy storage power station is brought into the objective function, and the particle swarm algorithm is adopted to carry out solving calculation, so that the optimal configuration of the energy storage power station is obtained.
In summary, the energy storage optimal configuration method provided by the invention formulates an energy storage power station operation price mechanism by considering the technical and economic current situation of the energy storage power station, establishes an objective function with the maximum comprehensive income of the energy storage power station, realizes the capacity configuration of the energy storage power station, and can guide the construction of the energy storage power station.
The energy storage optimization configuration system provided by the embodiment of the invention is described below, and the energy storage optimization configuration system described below and the energy storage optimization configuration method described above can be referred to correspondingly.
As shown in fig. 2, the energy storage optimization configuration system according to the embodiment of the present invention includes: the first processing unit is used for determining the peak period discharge price of the energy storage power station; the second processing unit is used for determining the charging price of the energy storage power station in the valley period; the third processing unit is used for determining the auxiliary service compensation price of the energy storage power station participating in peak shaving; the fourth processing unit is used for determining the maximum net profit of the energy storage power station based on the peak time period discharge price of the energy storage power station, the valley time period charge price of the energy storage power station and the auxiliary service compensation price of the energy storage power station participating in peak shaving; and the fifth processing unit is used for determining the configuration of the energy storage power station based on the maximum net income and the constraint conditions of the energy storage power station.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)810, a communication Interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication Interface 820 and the memory 830 communicate with each other via the communication bus 840. The processor 810 may call logic instructions in the memory 830 to perform the energy storage optimization configuration method according to the above embodiment, the method includes: determining the peak time period discharge price of the energy storage power station, determining the valley time period charge price of the energy storage power station, and determining the auxiliary service compensation price of the energy storage power station participating in peak regulation; determining the maximum net gain of the energy storage power station based on the peak time period discharge price of the energy storage power station, the valley time period charge price of the energy storage power station and the auxiliary service compensation price of the energy storage power station participating in peak shaving; and determining the configuration of the energy storage power station based on the maximum net income and the constraint conditions of the energy storage power station.
It should be noted that, when being implemented specifically, the electronic device in this embodiment may be a server, a PC, or other devices, as long as the structure includes the processor 810, the communication interface 820, the memory 830, and the communication bus 840 shown in fig. 3, where the processor 810, the communication interface 820, and the memory 830 complete mutual communication through the communication bus 840, and the processor 810 may call the logic instructions in the memory 830 to execute the above method. The embodiment does not limit the specific implementation form of the electronic device.
In addition, the logic instructions in the memory 830 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Further, an embodiment of the present invention discloses a computer program product, the computer program product includes a computer program stored on a non-transitory computer readable storage medium, the computer program includes program instructions, when the program instructions are executed by a computer, the computer can execute the energy storage optimization configuration method as described above in the embodiment, the method includes: determining the peak time period discharge price of the energy storage power station, determining the valley time period charge price of the energy storage power station, and determining the auxiliary service compensation price of the energy storage power station participating in peak regulation; determining the maximum net gain of the energy storage power station based on the peak time period discharge price of the energy storage power station, the valley time period charge price of the energy storage power station and the auxiliary service compensation price of the energy storage power station participating in peak shaving; and determining the configuration of the energy storage power station based on the maximum net income and the constraint conditions of the energy storage power station.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the energy storage optimization configuration method according to the above embodiment when executed by a processor, where the method includes: determining the peak time period discharge price of the energy storage power station, determining the valley time period charge price of the energy storage power station, and determining the auxiliary service compensation price of the energy storage power station participating in peak regulation; determining the maximum net gain of the energy storage power station based on the peak time period discharge price of the energy storage power station, the valley time period charge price of the energy storage power station and the auxiliary service compensation price of the energy storage power station participating in peak shaving; and determining the configuration of the energy storage power station based on the maximum net income and the constraint conditions of the energy storage power station.
The above-described embodiments of the apparatus are merely illustrative, and 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 network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (6)
1. An energy storage optimal configuration method is characterized by comprising the following steps: determining the peak time period discharge price of the energy storage power station, determining the valley time period charge price of the energy storage power station, and determining the auxiliary service compensation price of the energy storage power station participating in peak regulation; determining the maximum net gain of the energy storage power station based on the peak time period discharge price of the energy storage power station, the valley time period charge price of the energy storage power station and the auxiliary service compensation price of the energy storage power station participating in peak shaving; determining the capacity configuration of the energy storage power station based on the maximum net income and the constraint conditions of the energy storage power station; the constraint conditions include: power and state of charge constraints of the energy storage power station and charge and discharge constraints of the energy storage power station;
the maximum net gain of the energy storage power station is determined by the investment cost and the operation and maintenance cost of the energy storage power station converted to each day based on the high-storage low-discharge arbitrage of the energy storage power station, the auxiliary service compensation of the energy storage power station participating in peak shaving and the energy storage power station;
wherein, the biggest net profit of energy storage power station is converted into every day investment cost and operation maintenance cost for storing up the low benefit of putting, energy storage power station and participating in the auxiliary service compensation of peak regulation, energy storage power station based on energy storage power station and confirm, includes: using formulas
Determining a maximum net gain of the energy storage power station, wherein f is the net gain of the energy storage power station, f1The method is characterized in that the method is used for high-storage low-discharge arbitrage of an energy storage power station, T is a scheduling period, T is a time interval, Cr(t) the price of electricity in the corresponding time period, Ps(t) is the power of the energy storage power station in the corresponding time period, f2Auxiliary service compensation for energy storage stations participating in peak shaving, CPLCompensating prices for peak shaving in energy storage power stations, Pwloss,tThe abandoned electricity quantity per hour before configuration of the energy storage power station is P'wloss,tElectricity discard per hour after configuration for energy storage power station, f3Investment costs and operational maintenance costs reduced to everyday for energy storage power stations, fcFor capital recovery factor, r is annual rate, TEFor the actual service time, alpha, of the energy storage plant in its life cyclesPower unit price, beta, reduced to annuity for energy storage power stationssReduced to annual capacity unit price, P, for energy storage power stationscapFor rated charge-discharge power of energy-storage power stations, ScapFor rated capacity of energy storage power station, fEFor unit investment cost of energy storage power station, fOMIs the unit operation and maintenance cost, and epsilon is the proportion of the cost;
wherein, the determining the peak period discharge price of the energy storage power station comprises the following steps: using formulas
Determining the peak period discharge price of the energy storage power station, wherein CPFor peak period discharge price of energy storage power station, CtSelling the electricity price for the common electricity consumption of the user side, wherein Delta R is the sum of the investment cost and the operation cost of the energy storage power station, TEFor the actual time of use, P, in the life cycle of the energy-storing power stationWRated active power for energy storage power stations, CGSubsidizing the cost for the energy storage power station;
the determining of the charging price of the energy storage power station in the valley period comprises the following steps: using formulas
Determining the energy storage power station valley period charging price, wherein CTOCharging price for energy storage station in valley period, CtSelling the electricity price for the common electricity consumption of the user side, wherein Delta R is the sum of the investment cost and the operation cost of the energy storage power station, TEFor the actual time of use, P, in the life cycle of the energy-storing power stationWRated active power for energy storage power stations, CGSubsidizing the cost for the energy storage power station;
the determining of the auxiliary service compensation price of the energy storage power station participating in peak shaving comprises the following steps: applying the formula:
CPL＝CG+Ca，
determining an auxiliary service compensation price for the energy storage power station participating in peak shaving, wherein CPLCompensating prices for auxiliary services participating in peak shaving in energy storage plants, CGSubsidizing costs for energy storage power stations, CaThe marginal cost of the energy storage power station participating in peak shaving is provided.
2. The energy storage optimal configuration method of claim 1, wherein the power and state of charge constraints of the energy storage power station comprise: using formulas
Is determined in which Ps(t) charging and discharging power of the energy storage power station at t time interval, SoCtFor the state of charge, P, of the energy-storing power station during the period tmax,tAnd SoCmax,tThe maximum value of the charging and discharging power and the maximum value of the state of charge of the energy storage power station in the t period are respectively.
3. The energy storage optimal configuration method according to claim 1, wherein the energy storage power station charge-discharge state constraint comprises: using formulas
Determination of λtFor charging or discharging status signs of energy-storing power stations, wherein λt0 denotes that the energy storage station is in an idle float state, λt1 is charged state, λt-1 is in the discharged state.
4. An energy storage optimal configuration system, comprising:
the first processing unit is used for determining the peak period discharge price of the energy storage power station;
the second processing unit is used for determining the charging price of the energy storage power station in the valley period;
the third processing unit is used for determining the auxiliary service compensation price of the energy storage power station participating in peak shaving;
the fourth processing unit is used for determining the maximum net gain of the energy storage power station based on the peak time interval discharge price of the energy storage power station, the valley time interval charge price of the energy storage power station and the auxiliary service compensation price of the energy storage power station participating in peak regulation;
the fifth processing unit is used for determining the capacity configuration of the energy storage power station based on the maximum net income and the constraint conditions of the energy storage power station;
the constraint conditions include: power and state of charge constraints of the energy storage power station and charge and discharge constraints of the energy storage power station;
the maximum net gain of the energy storage power station is determined by the investment cost and the operation and maintenance cost of the energy storage power station converted to each day based on the high-storage low-discharge arbitrage of the energy storage power station, the auxiliary service compensation of the energy storage power station participating in peak shaving and the energy storage power station;
wherein, the determining the peak period discharge price of the energy storage power station comprises the following steps: using formulas
Determining the peak period discharge price of the energy storage power station, wherein CPFor peak hours of energy-storage power stationsSegment discharge price, CtSelling the electricity price for the common electricity consumption of the user side, wherein Delta R is the sum of the investment cost and the operation cost of the energy storage power station, TEFor the actual time of use, P, in the life cycle of the energy-storing power stationWRated active power for energy storage power stations, CGSubsidizing the cost for the energy storage power station;
the determining of the charging price of the energy storage power station in the valley period comprises the following steps: using formulas
Determining the energy storage power station valley period charging price, wherein CTOCharging price for energy storage station in valley period, CtSelling the electricity price for the common electricity consumption of the user side, wherein Delta R is the sum of the investment cost and the operation cost of the energy storage power station, TEFor the actual time of use, P, in the life cycle of the energy-storing power stationWRated active power for energy storage power stations, CGSubsidizing the cost for the energy storage power station;
the determining of the auxiliary service compensation price of the energy storage power station participating in peak shaving comprises the following steps: applying the formula:
CPL＝CG+Ca，
determining an auxiliary service compensation price for the energy storage power station participating in peak shaving, wherein CPLCompensating prices for auxiliary services participating in peak shaving in energy storage plants, CGSubsidizing costs for energy storage power stations, CaThe marginal cost of the energy storage power station participating in peak shaving is provided.
5. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the energy storage optimization configuration method according to any one of claims 1 to 3 when executing the program.
6. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the energy storage optimization configuration method according to any one of claims 1 to 3.
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