Energy storage power station capacity configuration method, device, equipment, storage medium and product

Abstract

The invention provides an energy storage power station capacity configuration method, device and equipment, a storage medium and a product, and relates to the technical field of electric power, and the method comprises the steps: constructing an energy storage equivalent annual investment construction benefit model of an energy storage power station in a planned construction stage; constructing a frequency modulation market bidding clearing model; constructing an electric quantity trading market bidding clearing model; in the operation stage, the capacity of the energy storage power station is configured based on the energy storage equivalent annual investment construction benefit model, the frequency modulation market bidding clearing model and the electric quantity trading market bidding clearing model; the capacity configuration process of the energy storage power station aims at the highest annual average energy storage total income of the energy storage power station participating in the electric quantity transaction market and the frequency modulation market. Through the mode, the economical efficiency of capacity configuration of the energy storage power station under the combined clearing mechanism can be ensured, and the earnings of the energy storage power station are further ensured.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to a method, device, equipment, storage medium and product for configuring the capacity of an energy storage power station. Background Art

[0002] At present, the proportion of new energy in the power system is increasing, and the inertia of traditional power systems is decreasing and stability is facing severe challenges. Energy storage power stations have the advantages of high response speed, high climbing efficiency, flexible control, etc., and are widely used in the peak and frequency regulation of power systems.

[0003] Energy storage power stations can participate in power transactions in the electricity trading market and the auxiliary frequency regulation market: Energy storage power stations can use the "peak-valley electricity price difference" to assist in regulating the power system's electricity, while satisfying the benefits of energy storage power stations. However, in the current electricity trading market environment, the trading electricity price changes in real time, and the benefits earned by energy storage power stations relying on the peak-valley electricity price difference are subject to fluctuation risks; in the frequency regulation market, energy storage power stations gain profits through subsidies, frequency regulation charges, etc., but in the frequency regulation market, there is no distinction between the frequency regulation of traditional generators (such as thermal power units) and the frequency regulation of energy storage power stations, ignoring the fast and flexible characteristics of energy storage power station frequency regulation and its difficulty in cost recovery. Taking the above two aspects into consideration, if the regulation and operation of energy storage power stations participating in the electricity trading market and the auxiliary frequency regulation market, as well as the high cost of energy storage power station construction, are not fully considered, but the capacity of energy storage power stations is configured only according to the safety needs and costs of the power system, it will damage the overall benefits of energy storage power stations and the enthusiasm for energy storage construction.

[0004] However, there is currently a lack of reasonable energy storage power station configuration methods, which makes it difficult to effectively configure the capacity of energy storage power stations and ensure the profitability of energy storage power stations. Summary of the invention

[0005] The present invention provides a method, device, equipment, storage medium and product for configuring the capacity of an energy storage power station, so as to solve the defects in the prior art that there is a lack of a reasonable method for configuring an energy storage power station, it is difficult to effectively configure the capacity of the energy storage power station, and it is impossible to ensure the benefits of the energy storage power station.

[0006] The present invention provides a method for configuring the capacity of an energy storage power station, comprising: constructing an energy storage equivalent annual investment and construction benefit model for the energy storage power station in the planned construction stage; constructing a frequency regulation market bidding and clearing model; constructing an electricity trading market bidding and clearing model; in the operation stage, configuring the capacity of the energy storage power station based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model, and the electricity trading market bidding and clearing model; the capacity configuration process of the energy storage power station aims to maximize the average annual total energy storage revenue of the energy storage power station participating in the electricity trading market and the frequency regulation market joint clearing.

[0007] According to a method for configuring the capacity of an energy storage power station provided by the present invention, in the operation stage, the capacity of the energy storage power station is configured based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model, and the electricity trading market bidding and clearing model, including: obtaining the construction capacity of the energy storage power station in the planned construction stage; judging whether the construction capacity is less than or equal to a preset threshold; if the construction capacity is less than or equal to the preset threshold, then in the operation stage, based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model, and the electricity trading market bidding and clearing model, calculating the annual average total energy storage benefit of the construction capacity; increasing the construction capacity according to the preset capacity increase, and returning to the step of judging whether the construction capacity is less than or equal to the preset threshold until the construction capacity is greater than the preset threshold, obtaining the annual average total energy storage benefit of multiple construction capacities; taking the construction capacity with the highest annual average total energy storage benefit as the optimal energy storage configuration capacity; and configuring the capacity of the energy storage power station based on the optimal energy storage configuration capacity.

[0008] According to a method for configuring the capacity of an energy storage power station provided by the present invention, based on an energy storage equivalent annual investment and construction benefit model, a frequency regulation market bidding and clearing model, and an electricity trading market bidding and clearing model, the annual average total energy storage revenue of the construction capacity is calculated, including: obtaining the user's load demand, the peak-shaving data of the generator set, the frequency regulation data of the generator set, the peak-shaving data of the energy storage power station, and the frequency regulation data of the energy storage power station; determining the objective function of the trading center based on the peak-shaving data of the generator set, the frequency regulation data of the generator set, the peak-shaving data of the energy storage power station, and the frequency regulation data of the energy storage power station; the objective function of the trading center is based on The goal is to minimize the overall operating cost of the system; based on the frequency regulation market bidding clearing model and the electricity trading market bidding clearing model, determine the objective function of the energy storage power station; the objective function of the energy storage power station aims to maximize the total benefits of peak regulation and frequency regulation; a game is played based on the objective function of the trading center and the objective function of the energy storage power station until the game converges to obtain the intraday clearing plan of the energy storage power station; the intraday clearing plan meets the load demand; determine the daily operating income of energy storage of the intraday clearing plan; based on the daily operating income of energy storage and the energy storage equivalent annual investment and construction benefit model, calculate the average annual total energy storage income of the construction capacity.

[0009] According to a method for configuring the capacity of an energy storage power station provided by the present invention, the calculation formula of the objective function of the energy storage power station is as follows: ; in, is the objective function of the energy storage power station; is the maximum value function; Provide a bidding clearing model for the frequency modulation market; It is a bidding and clearing model for the electricity trading market.

[0010] According to a method for configuring the capacity of an energy storage power station provided by the present invention, the calculation formula of the objective function of the trading center is as follows: ; in, is the objective function of the trading center; is the minimum function; The total frequency regulation cost of the system is determined based on the frequency regulation data of the generator set and the frequency regulation data of the energy storage power station; The cost of calling upon generator sets and energy storage power stations to participate in the electricity trading market is determined based on the peak-shaving data of the generator sets and the peak-shaving data of the energy storage power stations.

[0011] According to a method for configuring the capacity of an energy storage power station provided by the present invention, the calculation formula of the energy storage equivalent annual investment and construction benefit model is as follows: ; in, Build a benefit model for energy storage equivalent annual investment, It is the auction clearing model of the frequency modulation market. It is a bidding and clearing model for the electricity trading market. is the average annual subsidy cost of energy storage power stations, is the equivalent annual investment cost of energy storage in the energy storage power station.

[0012] The present invention also provides a device for configuring the capacity of an energy storage power station, comprising: a first construction module for constructing an energy storage equivalent annual investment and construction benefit model of the energy storage power station in the planned construction stage; a second construction module for constructing a frequency regulation market bidding and clearing model; a third construction module for constructing an electricity trading market bidding and clearing model; a capacity configuration module for configuring the capacity of the energy storage power station in the operation stage based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model and the electricity trading market bidding and clearing model; the capacity configuration process of the energy storage power station aims to maximize the average annual total energy storage revenue of the energy storage power station participating in the electricity trading market and the frequency regulation market joint clearing.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, any of the above-mentioned energy storage power station capacity configuration methods is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for configuring the capacity of an energy storage power station as described above is implemented.

[0015] The present invention also provides a computer program product, including a computer program, which implements any of the above-mentioned energy storage power station capacity configuration methods when executed by a processor.

[0016] The energy storage power station capacity configuration method, device, equipment, storage medium and product provided by the present invention configure the capacity of the energy storage power station during the operation stage according to the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model and the electricity trading market bidding and clearing model of the energy storage power station during the planned construction stage, with the goal of maximizing the annual average total energy storage revenue of the energy storage power station participating in the joint clearing of the electricity trading market and the frequency regulation market, thereby ensuring the economy of the energy storage power station capacity configuration under the joint clearing mechanism and further ensuring the revenue of the energy storage power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is one of the flow diagrams of the energy storage power station capacity configuration method provided by the present invention.

[0019] Figure 2 This is the second flow chart of the energy storage power station capacity configuration method provided by the present invention.

[0020] Figure 3 It is a flow chart of the energy storage capacity configuration method based on the joint clearing of the electricity trading market and the frequency regulation market provided by the present invention.

[0021] Figure 4 It is a topological diagram of the IEEE14 distribution network system provided by the present invention.

[0022] Figure 5 It is a schematic diagram of the annual revenue of the energy storage power station provided by the present invention.

[0023] Figure 6 It is a schematic diagram of the intraday electricity trading market clearing solution of the energy storage power station provided by the present invention.

[0024] Figure 7 It is a schematic diagram of the intraday frequency regulation capacity clearing scheme of the energy storage power station provided by the present invention.

[0025] Figure 8 It is a structural schematic diagram of the energy storage power station capacity configuration device provided by the present invention.

[0026] Fig. 9 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] See also Figure 1 and Figure 2 , Figure 1 This is one of the flow diagrams of the energy storage power station capacity configuration method provided by the present invention. Figure 2 This is the second flow chart of the energy storage power station capacity configuration method provided by the present invention. Figure 1 As shown, in this embodiment, the energy storage power station configuration method includes steps S110 to S140, and each step is specifically as follows: S110: Construct an energy storage equivalent annual investment and construction benefit model for energy storage power stations during the planned construction phase.

[0029] like Figure 2 As shown, first of all, we can consider information such as the average annual construction cost of multiple factors, the accumulated electricity transactions within the year, the comprehensive benefits of frequency regulation, and establish an energy storage equivalent annual investment and construction benefit model for energy storage power stations in the planned construction stage.

[0030] Specifically, the capacity planning and configuration of energy storage power stations (abbreviated as "energy storage") needs to fully consider the actual benefits in multiple application markets. Therefore, it is necessary to scientifically calculate the initial construction costs of energy storage power stations and allocate them to the actual benefits each year, so as to better economically configure the capacity of energy storage power stations.

[0031] In this embodiment, the calculation formula of the energy storage equivalent annual investment construction benefit model of the energy storage power station in the planned construction stage is as follows: (1) (2) In formula (1), It is an energy storage equivalent annual investment construction benefit model, which is used to represent the average annual benefit of energy storage power station construction and maintenance; It is a frequency regulation market bidding clearing model, which is used to represent the annual benefits of energy storage power stations participating in frequency regulation; It is a bidding and clearing model for the electricity trading market, which is used to represent the annual revenue of energy storage power stations participating in electricity trading; is the average annual subsidy cost of energy storage power stations, is the equivalent annual investment cost of energy storage in the energy storage power station.

[0032] In formula (2), is the annual depreciation coefficient of the energy storage power station; is the maximum rated power of energy storage; is the maximum rated capacity of energy storage; is the cycle life; is the unit power of energy storage; is the average annual construction cost of energy storage capacity.

[0033] Optionally, The value is 5%.

[0034] Optionally, The value is 20 years.

[0035] Optionally, The value is 1.17 million yuan / MW. The value is 2.23 million yuan / MWh.

[0036] S120: Construct a frequency modulation market bidding clearing model.

[0037] Furthermore, if Figure 2 As shown in the figure, after obtaining the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding clearing mode, the frequency regulation market bidding clearing model and the constraints of the frequency regulation market bidding clearing model can be determined.

[0038] In this embodiment, the frequency regulation market bidding clearing mode refers to a storage power station trading mode in which the electricity trading market and the frequency regulation market are jointly cleared during the operation phase.

[0039] Specifically, the existing auxiliary frequency regulation services can be divided into primary frequency regulation and secondary frequency regulation. The existing scheme is based on market-oriented and transparent bidding transactions. Energy storage power stations enter the frequency regulation market through market competition. After the energy storage frequency regulation price and capacity are determined, the remaining energy storage will enter the electricity trading market.

[0040] In the frequency regulation market competition stage, energy storage can declare its own frequency regulation data (such as frequency regulation capacity, frequency regulation price, etc.), and traditional generators (such as thermal power units) can declare their own frequency regulation data (such as frequency regulation capacity, frequency regulation price, mileage price, etc.). The trading center can collect the information declared by both parties and coordinate the two market entities (i.e. energy storage power stations and generators) to coordinate resources. The two parties have a game relationship of interest competition in the frequency regulation market. The game process of the frequency regulation market (i.e. the frequency regulation market bidding clearing model) is as follows: (1) In the day-ahead market, based on the load forecasting method, users report the load demand data for the next day to the trading center, and the user's load power at every time must be met.

[0041] (2) The trading center obtains the frequency regulation information such as the frequency regulation capacity and frequency regulation price initially reported by the power generating units, and obtains the frequency regulation information such as the frequency regulation price and frequency regulation capacity initially reported by the energy storage power stations.

[0042] (3) The trading center shall announce the frequency regulation clearing price and clearing capacity based on the clearing rules and operating constraints, with the goal of minimizing the cost of the power system while satisfying various constraints.

[0043] (4) Based on the frequency regulation clearing price and clearing capacity announced by the trading center, the energy storage power station shall take into account the annual construction and operation and maintenance costs converted to daily, as well as other operating costs of energy storage, and adjust the frequency regulation information such as the frequency regulation price and frequency regulation capacity it declares.

[0044] (5) The trading center will once again publish relevant frequency modulation information based on the clearing rules and operating constraints until the expected deviation between the trading center and the energy storage power station is within the allowable range, and then the transaction can be realized.

[0045] After understanding the game process between the two parties in the above-mentioned frequency modulation market, a frequency modulation market bidding clearing model can be constructed based on the above-mentioned game process.

[0046] Specifically, after energy storage power stations and power generating units declare their respective frequency regulation information such as frequency regulation capacity and frequency regulation price, the trading center needs to adjust the declared prices of various market players according to the comprehensive frequency regulation performance indicators, so that as many high-quality frequency regulation resources as possible can participate in the frequency regulation of the power system at the lowest possible cost.

[0047] In this embodiment, the frequency regulation indexes of the frequency-regulated generator set and the energy storage power station can be comprehensively evaluated from three aspects: regulation speed, regulation accuracy, and response time. The comprehensive frequency regulation performance indexes are as follows: (3) In formula (3), is the comprehensive frequency modulation performance index of the i-th quotation subject; is the adjustment speed of the i-th quotation subject; is the adjustment accuracy of the i-th quotation subject; is the response time of the i-th quotation subject.

[0048] Optionally, the bidding subject can be an energy storage power station or a generator set. , , The value of can be different.

[0049] For example, energy storage power stations , , The values ​​are 1.32, 1.69, and 1.60 respectively, and the calculated comprehensive frequency regulation performance index of the energy storage power station is 3.57; while the , , The values ​​are 0.83, 0.96, and 0.96 respectively, so the comprehensive frequency regulation performance index of the generator set is about 0.76.

[0050] The performance prices reported by each bidding entity are as follows: (4) In formula (4), is the performance price of the i-th quotation subject; is the actual price declared by the ith quotation entity.

[0051] This embodiment sorts the bidding entities based on their performance prices to determine the order of the bidding entities. The trading center can sort the bidding entities according to their performance price order. The smaller the value, the higher the ranking. The frequency modulation capacity declared by the bidding entity will be cleared first. The larger the value, the lower the ranking. It is even possible that the bidding entity cannot participate in the frequency modulation transaction due to the excessively high frequency modulation price declared and the worse the performance.

[0052] The trading center is responsible for the quotation submission and capacity clearing of multiple quotation entities. Its goal is to minimize the total frequency regulation cost of the system, so there is the following objective function: (5) (6) In formulas (5) and (6), is the minimum function; is the total frequency regulation cost of the system, It is determined based on the frequency regulation data of the generator set and the frequency regulation data of the energy storage power station; The total cost of frequency regulation for energy storage power stations; Total cost of regulating the frequency of the generating units; is the frequency regulation capacity of the i-th energy storage at time t; is the mileage price of the i-th energy storage; is the total amount of energy storage; T0 is the total time of the day.

[0053] Optionally, The value is 0.015 yuan / kWh.

[0054] Among them, in formula (5), the total cost of generator frequency regulation is as follows: (7) In formula (7), is the average daily start-up and shutdown cost of the generator set; is the average daily operating energy consumption cost of the generator set; is the average daily frequency regulation cost of the generator set; is the total number of generating units; is the operation and maintenance cost per unit power of the generator set; is the power of the generator set participating in frequency regulation at time t; is the frequency regulation capacity of the generator set at time t; It is the frequency regulation mileage price of the generator set.

[0055] Optionally, The value is 2. The value is 0.03 yuan / kW. The value is 0.015 yuan / kWh.

[0056] The frequency regulation market bidding clearing model (i.e., energy storage frequency regulation benefit model) can be expressed as: (8) It can be understood that the above-mentioned frequency modulation market bidding clearing model needs to meet certain constraints, that is, to meet the frequency modulation market system constraints.

[0057] Among them, the frequency modulation market system constraints include: (1) Constraints on the reported quantity of energy storage power stations.

[0058] (9) In formula (9), is the maximum frequency regulation capacity of energy storage i.

[0059] (2) Energy storage quotation restrictions and constraints.

[0060] The energy storage quotation should be within the allowable quotation range, that is, satisfy the following formula: (10) In formula (10), is the lower limit of the energy storage quotation, It is the upper limit of energy storage quotation.

[0061] (3) Constraints on the number of energy storage charging and discharging switching times.

[0062] The number of energy storage charge and discharge switching has an important impact on the energy storage life wear, so the number of switching should be reduced as much as possible to reduce the energy storage life cost: (11) (12) In formulas (11) and (12), The number of switching times for charging energy storage i; is the switching number of energy storage i discharge; The upper limit of the number of charging switching times; The upper limit of discharge switching times.

[0063] Optionally, and The value is 15 times.

[0064] S130: Construct a bidding and clearing model for the electricity trading market.

[0065] Furthermore, if Figure 2 As shown, based on the above model, the electricity trading market bidding clearing model and the constraints of the electricity trading market bidding clearing model can be constructed.

[0066] The trading center aims to minimize the cost of calling generators and energy storage power stations to participate in the electricity trading market, and coordinates and controls the trading electricity and electricity prices. The objective function is as follows: (13) In formula (13), The cost of calling generators and energy storage power stations to participate in the electricity trading market, that is, the system electricity trading cost; is the declared price of electricity generated by the generator set, and its value range is [0.2, 0.4]; is the discharge price of energy storage i at time t; is the charging price of energy storage i at time t; is the power generated by the generator set at time t; is the discharge efficiency of energy storage at time t; is the charging efficiency of the energy storage at time t.

[0067] Optionally, and The value is 0.95.

[0068] The bidding clearing model of the electricity trading market (i.e. the peak-shaving revenue of energy storage power stations) is as follows: (14) It is understandable that the above-mentioned electricity trading market bidding and clearing model needs to meet certain constraints, that is, to meet the peak-shaving electricity trading constraints.

[0069] Among them, the peak load electricity trading constraints include: (1) System power balance constraints.

[0070] (15) In formula (15), is the active power of the n-node user in the system at time t; N is the total number of users in the system.

[0071] (2) Generator output constraints.

[0072] (16) In formula (16), The upper limit of the output of the generator set; It is the lower limit of the generator set output.

[0073] Among them, the upper limit of the output of the generator set is the maximum capacity of the generator set, and the lower limit of the output of the generator set is 0.

[0074] (3) Constraints on the bidding of generator sets.

[0075] (17) (18) In formulas (17) and (18), is the adjustable power generation capacity range of the generator set; , , , There are 4 different quotations respectively.

[0076] Optionally, , , , The values ​​are 0.45 yuan kW / h, 0.5 yuan kW / h, 0.55 yuan kW / h, and 0.6 yuan kW / h respectively.

[0077] (4) Unit climbing constraints.

[0078] (19) In formula (19), Provide upward climbing constraints for the generator set; To constrain the generator set to climb downward; is the power generated by the generator set at time t-1; is the power generated by the generator set at time t+1.

[0079] Optionally, and The average value is 35MW / h.

[0080] (5) Energy storage charging and discharging power constraints.

[0081] (20) (twenty one) In formulas (20) and (21), is the maximum state of charge of energy storage i; is the minimum state of charge of energy storage i; Charging efficiency for energy storage; is the discharge efficiency of energy storage; is the maximum discharge power of energy storage i; is the maximum charging power of energy storage i; is the time interval; is the charge state of the i-th energy storage at time t.

[0082] Optionally, to extend the service life of the energy storage and leave a certain amount of spare capacity, The value is 90% of the rated capacity of energy storage i. The value is 10% of the rated capacity of energy storage i.

[0083] Optionally, and The average value is 0.95.

[0084] (6) Line flow constraints.

[0085] (twenty two) In formula (22), The line at time t The current; The line at time t The maximum allowable current; is the voltage per unit value of node n at time t; It is the upper limit of the voltage per unit value; It is the lower limit of the voltage per unit value.

[0086] Furthermore, based on the system constraints of the frequency regulation market and the peak-shaving electricity trading constraints, joint constraint conditions for the joint clearing of electricity trading and the frequency regulation market are proposed.

[0087] Specifically, considering that energy storage power stations and generators participate in the electricity trading market and frequency regulation market at the same time, the overall constraints of the total generating power of the generators, the total energy storage capacity, and the upper and lower limits of the total energy storage generating power must be met. Among them, the joint constraints include: (1) Joint clearing of peak-shaving capacity constraints.

[0088] (twenty three) In formula (23), represents the basic peak-shaving capacity requirement of the system. Formula (23) indicates that the peak-shaving capacity of energy storage and generator sets should meet the peak-shaving demand.

[0089] (2) Maximum power constraints for joint clearing of units.

[0090] (twenty four) In formula (24), The power of the generator set participating in frequency regulation.

[0091] (3) Energy storage joint clearing state of charge constraints.

[0092] (25) In formula (25), is the discharge efficiency of the energy storage at time t+1; is the charging efficiency of the energy storage at time t+1.

[0093] (4) Maximum power constraints for energy storage joint clearing.

[0094] (26) (27) (28) In formulas (26), (27) and (28), is the power of energy storage i participating in the frequency regulation market at time t.

[0095] S140: During the operation phase, the capacity of the energy storage power station is configured based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model, and the electricity trading market bidding and clearing model.

[0096] The capacity configuration process of the energy storage power station aims to maximize the average annual total energy storage revenue of the energy storage power station participating in the electricity trading market and the frequency regulation market joint clearing.

[0097] like Figure 2 As shown, in this embodiment, after obtaining the joint constraints, the configuration architecture of the joint clearing of the electricity trading market and the frequency regulation market considering the two-stage process (i.e., the planning and construction stage and the operation stage) can be determined, as well as the specific configuration method: in the operation stage, the capacity of the energy storage power station is configured based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding clearing model and the electricity trading market bidding clearing model.

[0098] The energy storage power station capacity configuration method provided in this embodiment configures the capacity of the energy storage power station during the operation phase based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model, and the electricity trading market bidding and clearing model of the energy storage power station during the planned construction phase, with the goal of maximizing the annual average total energy storage revenue of the energy storage power station participating in the joint clearing of the electricity trading market and the frequency regulation market. This ensures the economy of the energy storage power station capacity configuration under the joint clearing mechanism, and further ensures the revenue of the energy storage power station.

[0099] In some embodiments, during the operation phase, the capacity of the energy storage power station is configured based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model, and the electricity trading market bidding and clearing model, including: obtaining the construction capacity of the energy storage power station in the planned construction phase; judging whether the construction capacity is less than or equal to a preset threshold; if the construction capacity is less than or equal to the preset threshold, then during the operation phase, based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model, and the electricity trading market bidding and clearing model, calculating the annual average total energy storage benefit of the construction capacity; increasing the construction capacity according to the preset capacity increase, and returning to the step of judging whether the construction capacity is less than or equal to the preset threshold until the construction capacity is greater than the preset threshold, obtaining the annual average total energy storage benefit of multiple construction capacities; taking the construction capacity with the highest annual average total energy storage benefit as the optimal energy storage configuration capacity; and configuring the capacity of the energy storage power station based on the optimal energy storage configuration capacity.

[0100] See also Figure 3 , Figure 3 It is a flow chart of the energy storage capacity configuration method based on the joint clearing of the electricity trading market and the frequency regulation market provided by the present invention.

[0101] like Figure 3 As shown, this embodiment adopts a method for optimizing energy storage capacity configuration that considers a two-stage process (i.e., a planning and construction stage and an operation stage). The planning and construction stage fully considers the construction cost of energy storage, and the operation stage considers a two-way game method of frequency regulation and electricity trading under different capacities.

[0102] Specifically, the construction capacity of the energy storage power station in the planned construction stage is obtained: in the planned construction stage, a construction capacity is randomly selected according to the construction cost of the energy storage power station, the total cost of the planned construction stage is calculated, and the construction capacity is transferred to the operation stage.

[0103] Furthermore, during the operation phase, it is determined whether the construction capacity is less than or equal to a preset threshold, that is, it is determined whether the construction capacity reaches the construction upper limit.

[0104] If the construction capacity is less than or equal to the preset threshold, that is, the construction capacity has not reached the construction upper limit, then in the operation stage, the annual average total energy storage revenue of the construction capacity is calculated based on the energy storage equivalent annual investment construction benefit model, the frequency regulation market bidding clearing model and the electricity trading market bidding clearing model.

[0105] Furthermore, the construction capacity is increased according to the preset capacity increase (i.e. Figure 3 The construction capacity in the process is increased in equal capacity according to the preset capacity increase rate), and the step of judging whether the construction capacity is less than or equal to the preset threshold is entered, until the construction capacity is greater than the preset threshold, and the annual average total energy storage benefits of multiple construction capacities are obtained.

[0106] Furthermore, after obtaining the average annual total energy storage benefits of multiple construction capacities, the construction capacity with the highest average annual total energy storage benefit is used as the optimal energy storage configuration capacity, that is, the energy storage capacity configuration plan for the region; based on the optimal energy storage configuration capacity, the capacity of the energy storage power station is configured.

[0107] In some embodiments, based on the energy storage equivalent annual investment construction benefit model, the frequency regulation market bidding clearing model and the electricity trading market bidding clearing model, the annual average energy storage total benefit of the construction capacity is calculated, including: obtaining the user's load demand, the peak-shaving data of the generator set, the frequency regulation data of the generator set, the peak-shaving data of the energy storage power station and the frequency regulation data of the energy storage power station; based on the peak-shaving data of the generator set, the frequency regulation data of the generator set, the peak-shaving data of the energy storage power station and the frequency regulation data of the energy storage power station, determining the objective function of the trading center; the objective function of the trading center is based on the overall operation of the system The goal is to minimize the cost; based on the frequency regulation market bidding clearing model and the electricity trading market bidding clearing model, determine the objective function of the energy storage power station; the objective function of the energy storage power station aims to maximize the total benefits of peak regulation and frequency regulation; a game is played based on the objective function of the trading center and the objective function of the energy storage power station until the game converges to obtain the intraday clearing plan of the energy storage power station; the intraday clearing plan meets the load demand; determine the daily operating income of the energy storage of the intraday clearing plan; based on the daily operating income of the energy storage and the energy storage equivalent annual investment and construction benefit model, calculate the average annual total energy storage income of the construction capacity.

[0108] Please continue reading Figure 3 ,like Figure 3 As shown in the figure, before calculating the annual average total energy storage revenue of the construction capacity in the operation phase, it is necessary to conduct a two-level game with the trading center and the energy storage power station as the main body on the day before. The game process is as follows: (1) Obtaining the user's load demand: The user declares the power demand for the next day through the load.

[0109] (2) Obtaining the peak-shaving data of the generator set, the frequency regulation data of the generator set, the peak-shaving data of the energy storage power station, and the frequency regulation data of the energy storage power station: the generator set and the energy storage power station can each report the peak-shaving data such as the peak-shaving power generation and peak-shaving price at each moment. The generator set and the energy storage power station must also report the frequency regulation data such as the frequency regulation capacity and frequency regulation price at each moment based on the peak-shaving remaining capacity.

[0110] (3) Based on the peak-shaving data of the generator set, the frequency regulation data of the generator set, the peak-shaving data of the energy storage power station, and the frequency regulation data of the energy storage power station, the objective function of the trading center is determined: the trading center takes the minimum overall operating cost of the system as the goal, and the optimization variables are the frequency regulation trading price, the peak-shaving trading price, and the peak-shaving power generation and frequency regulation capacity of the generator set. The objective function of the trading center can be obtained as follows: (29) in, is the objective function of the trading center, i.e., the overall cost function optimized at the upper level; is the minimum function; The total frequency regulation cost of the system is determined based on the frequency regulation data of the generator set and the frequency regulation data of the energy storage power station; The cost of calling upon generator sets and energy storage power stations to participate in the electricity trading market is determined based on the peak-shaving data of the generator sets and the peak-shaving data of the energy storage power stations.

[0111] (4) Based on the frequency regulation market bidding clearing model and the electricity trading market bidding clearing model, the objective function of the energy storage power station is determined: the energy storage power station aims to maximize the total benefits of peak regulation and frequency regulation, and the optimization variables are the peak regulation charging and discharging power and frequency regulation capacity at each moment. Its objective function is as follows: (30) in, is the objective function of the energy storage power station; is the maximum value function; It is a bidding clearing model for the frequency modulation market; It is a bidding and clearing model for the electricity trading market.

[0112] (5) A game is played based on the objective function of the trading center and the objective function of the energy storage power station until the game converges, and the intraday clearing plan of the energy storage power station is obtained: the energy storage power station reports the peak-shaving charging and discharging power and frequency regulation capacity at each moment again, and the trading center optimizes again based on the information reported by the energy storage, repeating steps (3) and (4) until the game between the two converges, and the intraday clearing plan of the energy storage power station is obtained. The intraday clearing plan must meet the user's load demand.

[0113] Furthermore, the daily operating income of the energy storage for the intraday clearing scheme is determined.

[0114] Specifically, due to the difference between the estimated load and the actual load during the day, the safe operation of the energy storage power station is used as a constraint, and the peak-shaving energy storage charging and discharging power is rolled over to meet the daily load fluctuations. After the correction is completed, the actual income of the energy storage power station on that day is calculated, that is, the daily operating income of the energy storage of the intraday clearing plan, and the actual charging and discharging situation of the energy storage power station and its participation in peak-shaving are recorded.

[0115] Furthermore, based on the daily operating income of energy storage and the energy storage equivalent annual investment and construction benefit model, the average annual total energy storage income of the construction capacity is calculated.

[0116] Specifically, Figure 3As shown in the figure, for each day in the annual cycle (365 days), the double-layer game is repeated and the daily operating income of the energy storage on that day is calculated. After obtaining the daily operating income of the energy storage for 365 days, the annual average total energy storage income of the construction capacity can be accumulated.

[0117] The calculation formula for the annual average total energy storage benefit is formula (1), namely: ; In formula (1), It is an energy storage equivalent annual investment construction benefit model, which is used to represent the average annual benefit of energy storage power station construction and maintenance.

[0118] In some embodiments, the objective function of the energy storage power station is calculated as follows: ; in, is the objective function of the energy storage power station; is the maximum value function; It is a bidding clearing model for the frequency modulation market; It is a bidding and clearing model for the electricity trading market.

[0119] In some embodiments, the objective function of the transaction center is calculated as follows: ; in, is the objective function of the trading center; is the minimum function; The total frequency regulation cost of the system is determined based on the frequency regulation data of the generator set and the frequency regulation data of the energy storage power station; The cost of calling upon generator sets and energy storage power stations to participate in the electricity trading market is determined based on the peak-shaving data of the generator sets and the peak-shaving data of the energy storage power stations.

[0120] In some embodiments, the calculation formula of the energy storage equivalent annual investment construction benefit model is as follows: ; in, Build a benefit model for energy storage equivalent annual investment, It is the auction clearing model of the frequency modulation market. It is a bidding and clearing model for the electricity trading market. is the average annual subsidy cost of energy storage power stations, is the equivalent annual investment cost of energy storage in the energy storage power station.

[0121] Please continue reading Figure 2 ,like Figure 2As shown, this embodiment adopts the principle of equidistant increment for the outermost configuration capacity to obtain the average annual total energy storage revenue under different construction capacities. For the day-ahead two-layer game process in the operation phase, this embodiment adopts a method based on the duality principle to transform the optimization objectives of the lower-layer energy storage power station into the constraints of the upper layer, making the game solving process simpler. The converted objective function is as follows: (31) In formula (31), is the objective function after dual transformation; It is the conversion coefficient of the lower layer target, and its value can be 1.5.

[0122] To solve formula (31), this embodiment uses the commercial solver CPLEX and YALMIP toolbox in Matlab2022b to solve it.

[0123] Finally, a model solving method based on the duality principle and commercial solver is adopted, and the effectiveness of the above method is verified by a standard example. The verification process is as follows: See also Figures 4 to 7 , Figure 4 is a topological diagram of the IEEE14 distribution network system provided by the present invention, Figure 5 is a schematic diagram of the annual revenue of the energy storage power station provided by the present invention, Figure 6 It is a schematic diagram of the intraday electricity trading market clearing solution of the energy storage power station provided by the present invention. Figure 7 It is a schematic diagram of the intraday frequency regulation capacity clearing scheme of the energy storage power station provided by the present invention.

[0124] like Figure 4As shown, the present invention uses the IEEE14 stage calculation example as the example verification object, 6 nodes are the planned construction points of energy storage, connected to 5 generator sets, the total capacity of the generator sets is 400MWh, and the average daily start-stop cost of the generator sets is 2000 yuan / time. The rated capacity of the energy storage increases gradually according to the distance of 10kWh, from 10kWh to the maximum accessible capacity of 400MWh, the maximum power generation is taken as 25% of the rated capacity, and the average annual unit capacity subsidy cost is converted to 137,500 yuan / MWh. The time-of-use electricity price on the power purchase side is: 0.5985 yuan / kWh during peak hours, 0.55378 yuan / kWh during high hours, 0.49415 yuan / kWh during flat hours, and 0.43452 yuan / kWh during low hours; the time-of-use electricity price on the power sales side is: 0.81197 yuan / kWh during peak hours, 0.64958 yuan / kWh during high hours, 0.43305 yuan / kWh during flat hours, and 0.21653 yuan / kWh during low hours. The peak hours are 11:00-13:00 and 16:00-17:00, the peak hours are 10:00-11:00 and 17:00-22:00, the flat hours are 7:00-10:00, 13:00-16:00 and 22:00-23:00, and the low hours are 23:00-7:00 the next day.

[0125] In the day-ahead phase, grid users predict the load data for the next 24 hours based on the data from the previous 24 hours and report their power consumption. The grid's primary frequency regulation capacity requirement is 40% of the load. The initial charge state of the energy storage station is 40%. Figure 5 shown.

[0126] Depend on Figure 5 It can be seen that when the capacity of the energy storage station is 160MWh, the energy storage station reaches a turning point as the construction capacity increases ( Figure 5 The area selected by the middle circle is the inflection point), and the average annual income of the energy storage power station reaches a maximum value of 1.4005 million yuan. Before the inflection point, the capacity of the energy storage power station is relatively small relative to the system capacity, and its capacity can fully participate in the electricity trading market and the frequency regulation market to obtain benefits. At this time, it presents a basic straight line trend. However, after the inflection point, with the increase in construction capacity, the system cannot fully absorb the energy storage capacity, that is, part of the energy storage capacity remains, resulting in an increase in construction costs and operating costs, thereby reducing the average annual operating benefits. The method of this embodiment can be used to obtain the optimal construction capacity of about 160MWh, with the maximum benefit.

[0127] To further verify the effectiveness of the method of this embodiment in the joint clearing of the electricity trading market and the frequency regulation market, three typical scenarios are divided under the optimal capacity of 160MWh: Scenario 1 is that the energy storage power station only participates in the electricity trading market, Scenario 2 is that the energy storage power station only participates in the auxiliary frequency regulation market, and Scenario 3 is that the energy storage power station jointly clears the electricity trading market and the frequency regulation market. The revenue results of the three scenarios are shown in Table 1: Table 1

[0128] As shown in Table 1, when the energy storage power station is determined to have a construction capacity of 160MWh, the average annual subsidy and average annual investment and construction costs are fixed, but from the perspective of comprehensive benefits, when the energy storage power station only participates in the electricity trading market and the frequency regulation market, its total benefits will be lower than the joint clearing model. The reason is that the construction cost of the energy storage power station is relatively high, but after the capacity is determined, it is more flexible to participate in the electricity trading market and the frequency regulation market at the same time, and both sides can obtain a better profit combination at the same time, so that the energy storage capacity can be more fully utilized.

[0129] After the energy storage construction capacity reaches 160MWh, the joint clearing method of this embodiment is adopted to select the clearing operation results of 24 hours on a certain day, in which the clearing schemes of energy storage charging and discharging power and generating power of the unit in the electricity trading market are as follows: Figure 6 As shown in the figure, the frequency regulation capacity clearing scheme for units and energy storage in the auxiliary frequency regulation market is as follows: Figure 7 shown.

[0130] Figure 6 The lower part of the horizontal axis is the power generation of the energy storage, and the upper part is the charging power of the energy storage. It can be seen that the load power curve is basically fully compensated by the power of the energy storage and the unit to meet the user's electricity demand. The peak electricity price period is 11:00-13:00 and 16:00-17:00. At this time, the load generates electricity to earn peak electricity price benefits. In the middle of the normal period, the energy storage immediately replenishes the electricity to prepare for the next peak period to discharge and obtain high electricity price benefits. In other periods, the energy storage power station and the generator set engage in a game process to dynamically share the system load. Figure 7 It can be seen that the frequency regulation capacity of the system basically matches the load power level, that is, the higher the load, the greater the frequency regulation capacity demand, which can better meet the frequency regulation demand of the system. In addition, in the frequency regulation market, the frequency regulation capacity of energy storage and units is basically close. Energy storage fully measures the peak-valley electricity price difference and frequency regulation benefits. Compared with investing more capacity in the frequency regulation market, it obtains comprehensive profits, thereby making the overall benefits better.

[0131] The energy storage power station capacity configuration method provided in this embodiment is a two-stage configuration method for energy storage power stations that takes into account the joint clearing of the electricity trading market and the frequency regulation market. This method is mainly used in the capacity configuration of energy storage power stations in the planning stage. Compared with the prior art, this solution has at least the following advantages: (1) A storage capacity configuration model considering both the construction and operation stages is proposed. This model comprehensively considers the comprehensive factors of the early construction of the energy storage power station, converts the construction cost into an average annual cost, and fully considers the actual operating factors of the energy storage power station and the electricity market clearing situation during the operation stage. It considers the benefits from the practical applicability and long- and short-term cycles of the energy storage power station, providing a basis for the capacity construction of the energy storage power station.

[0132] (2) During the operation phase, a joint clearing operation method is proposed that takes into account both electricity trading and auxiliary frequency regulation. A joint clearing process architecture and a joint clearing model are established to enable energy storage power stations to participate in both markets at the same time, give full play to the existing capacity, increase the flexibility of energy storage power stations in market applications, maximize the application of energy storage power station capacity, and obtain maximum benefits during operation.

[0133] (3) In the joint clearing method of the operation stage, the frequency regulation market and the electricity trading market are considered, and the trading center and the energy storage power station are taken as the two main entities. The two-party game model in the electricity trading and frequency regulation markets is proposed respectively, which fully describes the competitive game process in the electricity market and is in line with the actual trading process. A penalty function based on the duality principle is proposed, which transforms the two-party game process into a unilateral optimization solution, simplifies the solution model, and improves the calculation efficiency.

[0134] The present invention also provides a configuration device for an energy storage power station. Figure 8 , Figure 8 8 is a schematic diagram of the structure of the energy storage power station capacity configuration device provided by the present invention. In this embodiment, the energy storage power station capacity configuration device includes a first construction module 810, a second construction module 820, a third construction module 830 and a capacity configuration module 840.

[0135] The first construction module 810 is used to construct an energy storage equivalent annual investment and construction benefit model for an energy storage power station during the planned construction phase.

[0136] The second building module 820 is used to build a frequency modulation market bidding clearing model.

[0137] The third building module 830 is used to build a bidding and clearing model for the electricity trading market.

[0138] The capacity configuration module 840 is used to configure the capacity of the energy storage power station during the operation phase based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model, and the electricity trading market bidding and clearing model.

[0139] The capacity configuration process of the energy storage power station aims to maximize the average annual total energy storage revenue of the energy storage power station participating in the electricity trading market and the frequency regulation market joint clearing.

[0140] In some embodiments, the capacity configuration module 840 is used to obtain the construction capacity of the energy storage power station in the planned construction stage; determine whether the construction capacity is less than or equal to a preset threshold; if the construction capacity is less than or equal to the preset threshold, then in the operation stage, based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model, and the electricity trading market bidding and clearing model, calculate the annual average total energy storage benefit of the construction capacity; increase the construction capacity according to the preset capacity increase, and return to the step of determining whether the construction capacity is less than or equal to the preset threshold until the construction capacity is greater than the preset threshold, and obtain the annual average total energy storage benefit of multiple construction capacities; use the construction capacity with the highest annual average total energy storage benefit as the optimal energy storage configuration capacity; and configure the capacity of the energy storage power station based on the optimal energy storage configuration capacity.

[0141] In some embodiments, the capacity configuration module 840 is used to obtain the user's load demand, the peak-shaving data of the generator set, the frequency regulation data of the generator set, the peak-shaving data of the energy storage power station, and the frequency regulation data of the energy storage power station; based on the peak-shaving data of the generator set, the frequency regulation data of the generator set, the peak-shaving data of the energy storage power station, and the frequency regulation data of the energy storage power station, determine the objective function of the trading center; the objective function of the trading center aims to minimize the overall operating cost of the system; based on the frequency regulation market bidding clearing model and the electricity trading market bidding clearing model, determine the objective function of the energy storage power station; the objective function of the energy storage power station aims to maximize the total benefits of peak-shaving and frequency regulation; based on the objective function of the trading center and the objective function of the energy storage power station, a game is played until the game converges to obtain the intraday clearing plan of the energy storage power station; the intraday clearing plan meets the load demand; the daily operation income of the energy storage of the intraday clearing plan is determined; based on the daily operation income of the energy storage and the energy storage equivalent annual investment and construction benefit model, the annual average total energy storage income of the construction capacity is calculated.

[0142] In some embodiments, the objective function of the energy storage power station is calculated as follows: ; in, is the objective function of the energy storage power station; is the maximum value function; It is a bidding clearing model for the frequency modulation market; It is a bidding and clearing model for the electricity trading market.

[0143] In some embodiments, the objective function of the transaction center is calculated as follows: ; in, is the objective function of the trading center; is the minimum function; The total frequency regulation cost of the system is determined based on the frequency regulation data of the generator set and the frequency regulation data of the energy storage power station; The cost of calling upon generator sets and energy storage power stations to participate in the electricity trading market is determined based on the peak-shaving data of the generator sets and the peak-shaving data of the energy storage power stations.

[0144] In some embodiments, the calculation formula of the energy storage equivalent annual investment construction benefit model is as follows: ; in, Build a benefit model for energy storage equivalent annual investment, It is the auction clearing model of the frequency modulation market. It is a bidding and clearing model for the electricity trading market. is the average annual subsidy cost of energy storage power stations, is the equivalent annual investment cost of energy storage in the energy storage power station.

[0145] The invention also provides an electronic device. Fig. 9 is a schematic diagram of the structure of the electronic device provided by the present invention, such as Fig. 9 As shown, the electronic device may include: a processor 910, a communication interface 920, a memory 930 and a communication bus 940, wherein the processor 910, the communication interface 920 and the memory 930 communicate with each other through the communication bus 940. The processor 910 may call the logic instructions in the memory 930 to execute the energy storage power station capacity configuration method.

[0146] In addition, the logic instructions in the above-mentioned memory 930 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0147] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to execute the energy storage power station capacity configuration method provided by the above methods.

[0148] The present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the energy storage power station capacity configuration method provided by the above methods.

[0149] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0150] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0151] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for configuring the capacity of an energy storage power station, characterized in that: include: Construct an energy storage equivalent annual investment and construction benefit model for energy storage power stations during the planned construction phase; Construct a frequency modulation market bidding clearing model; Construct a bidding and clearing model for the electricity trading market; During the operation phase, the capacity of the energy storage power station is configured based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model, and the electricity trading market bidding and clearing model; the capacity configuration process of the energy storage power station aims to maximize the annual average total energy storage revenue of the energy storage power station participating in the electricity trading market and the frequency regulation market joint clearing.

2. The energy storage power station capacity configuration method according to claim 1, characterized in that: In the operation phase, based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model, and the electricity trading market bidding and clearing model, the capacity of the energy storage power station is configured, including: Obtaining the construction capacity of the energy storage power station during the planned construction phase; Determining whether the construction capacity is less than or equal to a preset threshold; If the construction capacity is less than or equal to the preset threshold, then in the operation stage, based on the energy storage equivalent annual investment construction benefit model, the frequency regulation market bidding clearing model and the electricity trading market bidding clearing model, the annual average total energy storage income of the construction capacity is calculated; According to the preset capacity increase, the construction capacity is increased, and the step of determining whether the construction capacity is less than or equal to the preset threshold is returned to, until the construction capacity is greater than the preset threshold, to obtain the annual average total energy storage benefits of the multiple construction capacities; The construction capacity with the highest annual average energy storage total benefit is taken as the optimal energy storage configuration capacity; Based on the optimal energy storage configuration capacity, the capacity of the energy storage power station is configured.

3. The energy storage power station capacity configuration method according to claim 2, characterized in that: The calculation of the annual average energy storage total benefit of the construction capacity based on the energy storage equivalent annual investment construction benefit model, the frequency regulation market bidding clearing model and the electricity trading market bidding clearing model includes: Obtaining the user's load demand, the peak-shaving data of the generator set, the frequency regulation data of the generator set, the peak-shaving data of the energy storage power station, and the frequency regulation data of the energy storage power station; Determine the objective function of the trading center based on the peak shaving data of the generator set, the frequency regulation data of the generator set, the peak shaving data of the energy storage power station, and the frequency regulation data of the energy storage power station; the objective function of the trading center aims to minimize the overall operating cost of the system; Based on the frequency regulation market bidding clearing model and the electricity trading market bidding clearing model, determining the objective function of the energy storage power station; the objective function of the energy storage power station aims to maximize the total benefits of peak regulation and frequency regulation; A game is conducted based on the objective function of the trading center and the objective function of the energy storage power station until the game converges, thereby obtaining an intraday clearing plan for the energy storage power station; the intraday clearing plan satisfies the load demand; Determine the daily operating income of the energy storage for the intraday clearing scheme; Based on the energy storage daily operating income and the energy storage equivalent annual investment and construction benefit model, the average annual total energy storage income of the construction capacity is calculated.

4. The energy storage power station capacity configuration method according to claim 3, characterized in that: The calculation formula of the objective function of the energy storage power station is as follows: ； in, is the objective function of the energy storage power station; is the maximum value function; A frequency modulation market auction clearing model; This is a bidding and clearing model for the electricity trading market.

5. The energy storage power station capacity configuration method according to claim 3, characterized in that: The calculation formula of the objective function of the trading center is as follows: ； in, is the objective function of the trading center; is the minimum function; is the total frequency regulation cost of the system, which is determined based on the frequency regulation data of the generator set and the frequency regulation data of the energy storage power station; The cost of calling the generator set and the energy storage power station to participate in the electricity trading market is determined based on the peak-shaving data of the generator set and the peak-shaving data of the energy storage power station.

6. The energy storage power station capacity configuration method according to claim 3, characterized in that: The calculation formula of the energy storage equivalent annual investment construction benefit model is as follows: ； in, The energy storage equivalent annual investment construction benefit model is as follows: is the frequency modulation market bidding clearing model, is the bidding and clearing model of the electricity trading market, is the average annual subsidy cost of the energy storage power station, is the energy storage equivalent annual investment cost of the energy storage power station.

7. A capacity configuration device for an energy storage power station, characterized in that: include: The first construction module is used to construct an energy storage equivalent annual investment and construction benefit model for the energy storage power station during the planned construction phase; The second building module is used to build a frequency modulation market bidding clearing model; The third building module is used to build a bidding and clearing model for the electricity trading market; The capacity configuration module is used to configure the capacity of the energy storage power station during the operation phase based on the energy storage equivalent annual investment and construction benefit model, the frequency regulation market bidding and clearing model, and the electricity trading market bidding and clearing model; the capacity configuration process of the energy storage power station aims to maximize the annual average total energy storage revenue of the energy storage power station participating in the electricity trading market and the frequency regulation market joint clearing.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the energy storage power station capacity configuration method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for configuring the capacity of an energy storage power station as claimed in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for configuring the capacity of an energy storage power station as claimed in any one of claims 1 to 6 is implemented.

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