Independent hybrid energy storage power station capacity configuration method and system based on profit maximization

Abstract

The invention provides an independent hybrid energy storage power station capacity configuration method and system based on profit maximization. According to the accessible total power of the independent hybrid energy storage power station, charging and discharging parameters and energy storage system duration of an energy type energy storage system and a power type energy storage system, related parameters of income measurement and calculation, and electricity price parameters and frequency modulation parameters of a project construction site of the independent hybrid energy storage power station; based on the installed power of the energy-type energy storage system and the installed power of the power-type energy storage system, by taking the full-life-cycle benefit maximization of the independent hybrid energy storage power station as a target, constructing a target function and constraint conditions; and solving the target function to obtain the installed power of the energy type energy storage system and the installed power of the power type energy storage system, and carrying out capacity configuration on the independent hybrid energy storage power station. The economic benefit of the independent hybrid energy storage power station can be improved, and the stability, reliability and sustainability of the independent hybrid energy storage power station in long-term operation can be ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of new energy, and relates to a method and system for capacity configuration of a hybrid energy storage power station. Background Art

[0002] Energy storage is a necessary condition to support the large-scale application of new energy and promote carbon neutrality. In recent years, among the newly added energy storage installations in China, most of them achieve power spot and frequency regulation functions through lithium iron phosphate electrochemical energy storage, and a small number of hybrid energy storage projects are composed of a mixture of iron-chromium flow batteries, flywheels, and electrochemistry.

[0003] An independent hybrid energy storage power station can configure power-type and energy-type energy storage according to grid demands, participate in transactions such as power spot, frequency regulation, and capacity leasing to obtain benefits. However, due to different local policies, the proportion of benefits such as frequency regulation and power spot varies. There are significant differences in aspects such as the full-life cycle cycle times, investment costs, and matching degree with grid demands of different types of energy storage, resulting in different configuration requirements for the energy-type and power-type energy storage systems of independent hybrid energy storage power stations. Therefore, in the project planning stage, it is necessary to comprehensively consider factors such as the investment costs, benefits, cycle times, and service life of the energy storage system according to specific application scenarios and grid demands to achieve the best economic benefits in the full life cycle. However, for the capacity configuration of independent hybrid energy storage power stations, most of the existing research considers the hybrid energy storage capacity configuration with the goal of reducing energy storage costs while meeting the tracking of the real-time target output curve, or considers the dispatching operation strategy for maximizing benefits for a hybrid energy storage power station with a fixed capacity. The capacity of independent hybrid energy storage power stations has not been optimized based on maximizing benefits during the project planning stage. Summary of the Invention

[0004] To solve the problem that the capacity configuration of the independent hybrid energy storage power station described in the background art does not consider maximizing benefits, the present invention provides a method and system for capacity configuration of an independent hybrid energy storage power station based on maximizing benefits.

[0005] The method of the present invention includes:

[0006] Combining the project construction site of the independent hybrid energy storage power station and the access situation of the power system to determine the total accessible power of the independent hybrid energy storage power station;

[0007] According to the characteristics of the energy-type energy storage system and the power-type energy storage system of the independent hybrid energy storage power station, obtain the charge and discharge parameters of the energy-type energy storage system and the power-type energy storage system respectively;

[0008] According to the energy storage configuration policy of the independent hybrid energy storage power station project construction site, determine the duration of the energy-type energy storage system. According to the typical duration of the candidate power-type energy storage system of the independent hybrid energy storage power station or the historical high-probability frequency regulation duration of the independent hybrid energy storage power station project construction site, determine the duration of the power-type energy storage system;

[0009] According to the revenue policy of the independent hybrid energy storage power station at the construction site, obtain the relevant parameters for calculating the revenue of the independent hybrid energy storage power station;

[0010] Through the analysis of the historical data of the surrounding independent hybrid energy storage power stations, obtain the electricity price parameters and frequency regulation parameters of the independent hybrid energy storage power station project construction site;

[0011] Based on the total power that the independent hybrid energy storage power station can access, the charge and discharge parameters of the energy-type energy storage system and the power-type energy storage system, the duration of the energy-type energy storage system, the duration of the power-type energy storage system, the relevant parameters for calculating the revenue, the electricity price parameters and frequency regulation parameters of the independent hybrid energy storage power station project construction site, based on the installed power of the energy-type energy storage system and the installed power of the power-type energy storage system, and with the goal of maximizing the full-life cycle revenue of the independent hybrid energy storage power station, construct the objective function and constraints;

[0012] Solve the objective function to obtain the installed power of the energy-type energy storage system and the installed power of the power-type energy storage system, and configure the capacity of the independent hybrid energy storage power station according to the installed power of the energy-type energy storage system and the installed power of the power-type energy storage system.

[0013] Furthermore, the charge and discharge parameters of the energy-type energy storage system include charging efficiency, discharging efficiency, energy attenuation rate per charge and discharge, charge and discharge depth, and the charge and discharge parameters of the power-type energy storage system include charge and discharge cycle efficiency.

[0014] Even further, the relevant parameters for calculating the revenue of the independent hybrid energy storage power station include frequency regulation mileage compensation price, capacity lease price, transmission and distribution price and fund surcharge, and line loss cost in the grid connection link.

[0015] Even further, the electricity price parameters of the independent hybrid energy storage power station project construction site include the average charging electricity price, average discharging electricity price, and annual average call times in the electricity spot market; the frequency regulation parameters of the independent hybrid energy storage power station project construction site include the average frequency regulation performance index coefficient, annual average charging frequency regulation mileage, annual average discharging frequency regulation mileage, the proportion of charging frequency regulation mileage with a duration greater than that of the power-type energy storage system, and the proportion of discharging frequency regulation mileage with a duration greater than that of the power-type energy storage system.

[0016] Even further, in the calculation of the average charging electricity price, average discharging electricity price, average frequency regulation performance index coefficient, annual average charging frequency regulation mileage, and annual average discharging frequency regulation mileage in the electricity spot market, first classify the annual call curve into scenarios, and then calculate through the following formula:

[0017]

[0018] Wherein, x is the mean value of the data to be processed; x j is the value of the data to be processed in the j-th scenario; ξ j is the occurrence probability of scenario j; M is the number of typical scenarios after scenario classification.

[0019] Furthermore, the objective function and constraints are as follows:

[0020]

[0021] Wherein, r is the discount rate, N is the power station life, I szi is the income of the independent hybrid energy storage power station in the i-th year, C zci is the expenditure of the independent hybrid energy storage power station in the i-th year; P n is the installed power of the energy-type energy storage, P g is the installed power of the power-type energy storage system, ζ pc is the proportion of the charging frequency modulation mileage with a duration greater than that of the power-type energy storage system, ζ pf is the proportion of the discharging frequency modulation mileage with a duration greater than that of the power-type energy storage system, ξ n is the proportion of the operation and maintenance cost of the energy-type energy storage, ξ g is the proportion of the operation and maintenance cost of the power-type energy storage system, R nc is the annual mileage of the energy-type energy storage participating in charging frequency modulation, R nf is the annual mileage of the energy-type energy storage participating in discharging frequency modulation.

[0022] Furthermore, the income I szi of the independent hybrid energy storage power station in the i-th year is expressed as:

[0023] I szi = I Fi + I Pi + I zi + I qi (3),

[0024] Wherein, I Fi is the electricity spot income in the i-th year, I Pi is the frequency modulation income in the i-th year, I zi is the leasing income in the i-th year, I qi is other income in the i-th year including black start, capacity reserve, and salvage recovery;

[0025] The electricity spot income I Fi in the i-th year is expressed as:

[0026]

[0027] In the formula, N df is the average annual call frequency of the energy storage type energy storage; Q n is the rated capacity of the energy storage type energy storage; θ DOD is the charge and discharge depth of the energy storage type energy storage; σ is the annual attenuation rate of the energy storage type energy storage, which is related to the number of operations; η f is the discharge efficiency of the energy storage type energy storage; k f is the average discharge electricity price of the power spot; η c is the charge efficiency of the energy storage type energy storage; k c is the average charge electricity price of the power spot; i is the number of years of power station operation;

[0028] Among them, the calculation formula of the annual attenuation rate σ is:

[0029] In the formula, R nc is the mileage of the energy storage type energy storage participating in charge frequency modulation throughout the year, R nc = ζ pc R c -N dpc P g , ζ pc is the proportion of the charge frequency modulation mileage with a duration longer than that of the power storage type energy storage system, N dpc is the number of charge frequency modulation calls with a duration longer than that of the power storage type energy storage system; R nf is the mileage of the energy storage type energy storage participating in discharge frequency modulation throughout the year, R nf = ζ pf R f -N dpf P g , ζ pf is the proportion of the discharge frequency modulation mileage with a duration longer than that of the power storage type energy storage system, N dpf is the number of discharge frequency modulation calls with a duration longer than that of the power storage type energy storage system; σ c is the energy attenuation rate of a single full charge and full discharge cycle; Δt is the frequency modulation interval;

[0030] The expression of the frequency modulation income I Pi in the i-th year is: I Pi = K p (R c +R f )k p (6),

[0031] In the formula, K p is the average frequency modulation performance index coefficient; R c is the average annual charge frequency modulation mileage; R f is the average annual discharge frequency modulation mileage; k p is the frequency modulation mileage compensation price;

[0032] The lease income Izi The expression for

[0033] I zi is: k zl P n (7),

[0034] where k zl is the annual MW power lease price; P n is the installed power of the energy storage system;

[0035] The other income I including black start, capacity reserve, and salvage recovery in the i-th year qi is selected as a fixed value according to the local power market situation.

[0036] Furthermore, in the expenditure of the i-th year of the independent hybrid energy storage power station, C zci has the following expression:

[0037] C zci = C inv_i + C com_i + C gh_i + C lo_i (8),

[0038] where C inv_i is the system investment cost, C com_i is the system operation and maintenance cost, C gh_i is the system replacement cost, C lo_i is the transmission and distribution price, network loss, and fund surcharge cost payable for the charge and discharge loss electricity;

[0039] The system investment cost C inv i has the following expression:

[0040]

[0041] where Q n is the rated capacity of the energy storage; k n is the cost of the electrochemical energy storage; P g is the installed power of the power-type energy storage system; k g is the cost of the power-type energy storage, i is the number of years of power station operation, and N is the life of the power station;

[0042] The system operation and maintenance cost C com_i has the following expression:

[0043] C com_i = ξ n Q n k n + ξ g P g k g (10),

[0044] where ξ n is the proportion of the operation and maintenance cost of the energy-type energy storage, and ξ g is the proportion of the operation and maintenance cost of the power-type energy storage system;

[0045] The replacement cost C gh_i of the system is expressed as:

[0046]

[0047] where η is the proportion of the system replacement cost, i is the number of years of power station operation, i = 1,..., N;

[0048] The transmission and distribution price, network loss and fund surcharge cost C lo_i to be paid for the charge and discharge loss electricity is:

[0049] Clo_i = ktd(NdfQn(1 - ηcηf) + RcΔtηn)(12),

[0050] where k td is the discount of the transmission and distribution price, line loss cost in the grid connection link and fund surcharge of the energy storage power station, N df is the average annual call frequency of the electrochemical energy storage; η f is the discharge efficiency of the energy-type energy storage; η c is the charge efficiency of the energy-type energy storage; R c is the average annual charge frequency regulation mileage; Δt is the frequency regulation interval; η n is the charge and discharge loss of the power-type energy storage.

[0051] Furthermore, the particle swarm optimization algorithm is used to solve the objective function, and the process includes:

[0052] 1) Initialization; parameter setting is carried out, and the installed power P g of the energy-type energy storage system and the installed power P n of the power-type energy storage system, the upper and lower limits L and U of the search space, the maximum number of iterations N, the learning acceleration factors c 1 and c 2 , the inertia factor w are set; the speed ranges v max and v min of each particle, the number of particle swarms n are set, and the positions x i and speeds v i of each particle in the particle swarm are initially set based on the parameter setting;

[0053] 2) Evaluate fitness: Calculate the fitness function for each particle. According to Equation (2), the fitness function is:

[0054] F = J + f cf ,

[0055] In the formula, f cf is a penalty term when the constraint conditions described in formula (2) are not satisfied, and a relatively large negative value can be selected;

[0056] Store the current particle position and fitness value in the individual optimal position P best of the particle. Store the position and fitness value of the individual with the optimal fitness value among all particles in the global optimal position G best ; best in;

[0057] 3) Update the velocity and displacement of the particle;

[0058] 4) After the particle is updated, compare the fitness function value of each particle with the previous fitness value. If it is better, use the current position as the current best position;

[0059] 5) Compare the current values of all P bset and G bset and update G bset ;

[0060] 6) If the number of iterations is satisfied, the algorithm stops and outputs the required result. Otherwise, return to step 3) to continue the search.

[0061] Based on the above method, the present invention also proposes an independent hybrid energy storage power station capacity configuration system based on revenue maximization, including an accessible total power determination module, a charge and discharge parameter acquisition module for the energy storage system, a duration confirmation module for the energy storage system, a revenue measurement related parameter acquisition module, a electricity price parameter and frequency modulation parameter acquisition module, an objective function and constraint condition construction module, and a capacity configuration module.

[0062] The accessible total power determination module is used to determine the accessible total power of the independent hybrid energy storage power station in combination with the construction site of the independent hybrid energy storage power station project and the accessible situation of the power system.

[0063] The charge and discharge parameter acquisition module for the energy storage system is used to respectively acquire the charge and discharge parameters and the duration of the energy storage system of the energy-based energy storage system and the power-based energy storage system according to the characteristics of the energy-based energy storage system and the power-based energy storage system of the independent hybrid energy storage power station.

[0064] The duration confirmation module for the energy storage system is used to determine the duration of the energy-based energy storage system according to the energy storage configuration policy of the construction site of the independent hybrid energy storage power station project, and determine the duration of the power-based energy storage system according to the typical duration of the candidate power-based energy storage system of the independent hybrid energy storage power station or the historical high-probability frequency modulation duration of the construction site of the independent hybrid energy storage power station project.

[0065] The revenue measurement related parameter acquisition module is used to acquire the revenue measurement related parameters of the independent hybrid energy storage power station according to the revenue policy of the independent hybrid energy storage power station at the construction site.

[0066] The electricity price parameter and frequency modulation parameter acquisition module is used to acquire the electricity price parameters and frequency modulation parameters of the construction site of the independent hybrid energy storage power station project by analyzing the historical data of the surrounding independent hybrid energy storage power stations.

[0067] The objective function and constraint condition construction module is used to construct the objective function and constraint conditions based on the total accessible power of the independent hybrid energy storage power station, the charge and discharge parameters of the energy storage system and the power storage system, the duration of the energy storage system, the duration of the power storage system, the revenue measurement related parameters, the electricity price parameters and frequency modulation parameters of the construction site of the independent hybrid energy storage power station project, based on the installed power of the energy storage system and the installed power of the power storage system, with the goal of maximizing the full life cycle revenue of the independent hybrid energy storage power station.

[0068] The capacity configuration module is used to solve the objective function to obtain the installed power of the energy storage system and the installed power of the power storage system, and configure the capacity of the independent hybrid energy storage power station according to the installed power of the energy storage system and the installed power of the power storage system.

[0069] The present invention also proposes an electronic device, including: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor realizes the capacity configuration method of the independent hybrid energy storage power station based on revenue maximization as described above by executing the computer instructions.

[0070] The present invention also proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it realizes the capacity configuration method of the independent hybrid energy storage power station based on revenue maximization as described above.

[0071] In the present invention, the determination of the total power that an independent hybrid energy storage power station can access is the basis for capacity configuration, ensuring that the scale of the energy storage power station matches the grid connection capacity; for an independent hybrid energy storage power station, the energy-type energy storage system and the power-type energy storage system have different characteristics. The energy-type energy storage system usually has a higher energy density and is suitable for long-term energy storage; while the power-type energy storage system has a higher power density and is suitable for rapid response. According to the characteristics of these two energy storage systems, their charge and discharge parameters and energy storage duration are obtained respectively; the relevant parameters for calculating the revenue of the independent hybrid energy storage power station will be used to construct the objective function later to ensure the maximization of the revenue of the energy storage power station; the electricity price parameters and frequency modulation parameters of the construction site of the independent hybrid energy storage power station project reflect the cost and revenue potential of the energy storage power station in different market environments; aiming at the maximization of the full-life cycle revenue of the independent hybrid energy storage power station, the objective function and constraints are constructed. The objective function comprehensively considers the revenue and cost of the energy storage power station; by solving the objective function, the optimal installed power of the energy-type energy storage system and the power-type energy storage system is obtained, so as to configure the capacity of the independent hybrid energy storage power station, which not only ensures that the configuration of the energy storage system meets the technical requirements, but also ensures the maximization of the revenue of the energy storage power station throughout its life cycle.

[0072] Compared with the prior art, the present invention has the following beneficial effects: (1) Comprehensiveness: The objective function takes into account the charge and discharge parameters of the energy-type energy storage system and the power-type energy storage system, the energy storage system duration, the relevant parameters for calculating the revenue of the independent hybrid energy storage power station, as well as the electricity price parameters and frequency modulation parameters of the construction site of the independent hybrid energy storage power station project, ensuring the comprehensiveness of cost and revenue analysis in the energy storage planning and configuration stage; (2) Efficiency: The acquisition of the electricity price parameters and frequency modulation parameters is based on the historical data analysis of the surrounding independent hybrid energy storage power stations, without relying on real-time data curve calls, which simplifies the analysis process and makes the analysis process more simple and efficient; (3) Long-term revenue optimization: The energy storage configuration is carried out with the goal of the optimal full-life cycle revenue, so that the configuration of the energy storage system not only meets the current technical requirements, but also can achieve cost-benefit optimization throughout its life cycle. All in all, by comprehensively considering the technical characteristics, market revenue, cost factors of the energy storage system and the maximization of the full-life cycle revenue, the present invention can not only improve the economic benefits of the independent hybrid energy storage power station, but also ensure the stability, reliability and sustainability of the independent hybrid energy storage power station in long-term operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 It is a flowchart of the method of the present invention.

[0074] Figure 2 It is a hybrid energy storage connection topology diagram of the present invention.

[0075] Figure 3 It is a system architecture diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0076] In order to make the technical problems, technical solutions and beneficial effects to be solved by this application clearer and more understandable, the following further details this application in combination with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not used to limit this application.

[0077] Embodiment 1

[0078] A method for configuring the capacity of an independent hybrid energy storage power station based on maximizing benefits, the flowchart is as Figure 1 shown, and the specific steps are as follows.

[0079] First, in combination with the construction site of the independent hybrid energy storage power station project and the access situation of the power system, determine the total accessible power of the independent hybrid energy storage power station.

[0080] In this embodiment, for the independent hybrid energy storage power station, based on the analysis of the planned construction site and the access situation of the power system, the total accessible power P of the independent hybrid energy storage power station z is 100 MW.

[0081] According to the characteristics of the energy storage system and power storage system of the independent hybrid energy storage power station, obtain the charge and discharge parameters and energy storage system duration of the energy storage system and power storage system respectively.

[0082] Specifically, the energy storage system and power storage system have different characteristics. The energy storage system usually has a higher energy density and is suitable for long-term energy storage; while the power storage system has a higher power density and is suitable for fast response. In this embodiment, the energy storage system selects an electrochemical energy storage system. According to the characteristics of the electrochemical energy storage system to be built and the power storage system selected for the independent hybrid energy storage power station, obtain the charging efficiency η c , discharge efficiency η f , secondary charge and discharge energy decay rate σ c , charge and discharge depth θ DOD , charge and discharge cycle efficiency η n and other key system parameters of the power storage system.

[0083] In this embodiment, the energy storage system selects a lithium iron phosphate energy storage system with a short construction period, mature technology, low cost per kilowatt-hour, and high market share. The power storage system selects a flywheel energy storage system with a long life, environmental friendliness, and fast response speed. The hybrid energy storage connection topology diagram is as Figure 2 shown.

[0084] Therefore, the charging efficiency η c of the energy storage system is 92.195%, and the discharge efficiency η fis 92.195%, and the energy attenuation rate σ of the first charge and discharge c The average value is about 0.33%, and the depth of charge and discharge θ DOD is 95%. The charge and discharge cycle efficiency η of the power-type energy storage system n is 80%.

[0085] According to the energy storage configuration policy of the independent hybrid energy storage power station project construction site, determine the duration of the energy-type energy storage system. According to the typical duration of the candidate power-type energy storage system of the independent hybrid energy storage power station or the historical most-probable frequency regulation duration of the independent hybrid energy storage power station project construction site, determine the duration of the power-type energy storage system.

[0086] That is, determine the duration T of the lithium iron phosphate energy storage system according to the policy requirements of the construction site n ; determine the duration T of the power-type energy storage system according to the typical duration of the candidate power-type energy storage system or the historical most-probable frequency regulation duration of the construction site g . In this embodiment, the duration T of the lithium iron phosphate energy storage n is 2h, and the duration T of the flywheel energy storage system g is 30s.

[0087] According to the revenue policy of the independent hybrid energy storage power station at the construction site, obtain the relevant parameters for the revenue measurement of the independent hybrid energy storage power station.

[0088] Specifically, the relevant parameters for revenue measurement include the frequency regulation mileage compensation price, capacity lease price, transmission and distribution price and fund surcharge, and line loss cost in the grid connection link.

[0089] In this embodiment, referring to the independent energy storage revenue policy of the construction site, the sources of revenue for independent energy storage are the electricity spot market, primary frequency regulation, and capacity lease. Among them, the frequency regulation mileage compensation price k p is 6 yuan / MW, and the capacity lease price k zl is 160 yuan / (kWh·year), the transmission and distribution price and fund surcharge is 0.072 yuan / kWh, and the line loss cost in the grid connection link is 0.014 yuan / kWh.

[0090] By analyzing the historical data of the surrounding independent hybrid energy storage power stations, obtain the electricity price parameters and frequency regulation parameters of the independent hybrid energy storage power station project construction site.

[0091] Specifically, the electricity price parameters of the independent hybrid energy storage power station project construction site include the average charging electricity price, average discharging electricity price, and annual average call times in the electricity spot market; the frequency regulation parameters of the independent hybrid energy storage power station project construction site include the average frequency regulation performance index coefficient, annual average charging frequency regulation mileage, annual average discharging frequency regulation mileage, the proportion of charging frequency regulation mileage with a duration greater than the duration of the power-type energy storage system, and the proportion of discharging frequency regulation mileage with a duration greater than the duration of the power-type energy storage system.

[0092] Among them, in the calculation of the average charging price, average discharging price, average frequency modulation performance index coefficient, annual average charging frequency modulation mileage, and annual average discharging frequency modulation mileage in the electricity spot market, the annual call curve is first classified by scenarios, and then calculated through the following formula:

[0093]

[0094] In the formula, x is the mean value of the data to be processed; x j is the value of the data to be processed in the j-th scenario; ξ j is the probability of the occurrence of scenario j; M is the number of typical scenarios after scenario classification.

[0095] In this embodiment, the average charging price k c in the electricity spot market is 300 yuan / (MWh), the average discharging price k f is 700 yuan / (MWh), the annual average call times N df is 300 times; the average frequency modulation performance index coefficient K p is 2, the annual average charging frequency modulation mileage R c is 1.5 million MW, the annual average discharging frequency modulation mileage R f is 1.5 million MW, the proportion ζ g of the charging frequency modulation mileage with a duration greater than t pc is 20%, and the proportion ζ pf of the discharging frequency modulation mileage is 25%.

[0096] Next, based on the total power that the independent hybrid energy storage power station can access, the charge and discharge parameters of the energy-type energy storage system and the power-type energy storage system, the duration of the energy-type energy storage system, the duration of the power-type energy storage system, the relevant parameters for revenue measurement, the electricity price parameters and frequency modulation parameters of the construction site of the independent hybrid energy storage power station project, and based on the installed power of the energy-type energy storage system and the installed power of the power-type energy storage system, with the goal of maximizing the full-life cycle revenue of the independent hybrid energy storage power station, the objective function and constraint conditions are constructed.

[0097] Specifically, the objective function and constraint conditions are as follows:

[0098]

[0099]

[0100] Among them, r is the discount rate, N is the life of the power station, I szi is the revenue of the independent hybrid energy storage power station in the i-th year, C zci is the expenditure of the independent hybrid energy storage power station in the i-th year; P n is the installed power of the energy-type energy storage, P g is the installed power of the power-type energy storage system, ζ pcThe proportion of the charging frequency regulation mileage with a duration longer than that of the power-type energy storage system, ζ pf The proportion of the discharging frequency regulation mileage with a duration longer than that of the power-type energy storage system, ξ n The proportion of the operation and maintenance cost of the energy-type energy storage, ξ g The proportion of the operation and maintenance cost of the power-type energy storage system, R nc The mileage of the energy-type energy storage participating in charging frequency regulation throughout the year, R nf The mileage of the energy-type energy storage participating in discharging frequency regulation throughout the year.

[0101] In this embodiment, r is the discount rate with a value of 6%, N is the power station life of 25 years, I szi is the power station revenue in the i-th year, C zci is the power station expenditure in the i-th year, P n is the installed power of the energy-type energy storage system, P g is the installed power of the flywheel energy storage, ζ pc The value is 20%, ζ pf The value is 25%, ξ n The proportion of the operation and maintenance cost of the energy-type energy storage system, with a value of 2%, ξ g The proportion of the operation and maintenance cost of the power-type energy storage system, with a value of 1%, R nc The mileage of the energy-type energy storage participating in charging frequency regulation throughout the year, R nf The mileage of the energy-type energy storage participating in discharging frequency regulation throughout the year.

[0102] The revenue I of the independent hybrid energy storage power station in the i-th year szi The expression is:

[0103] I szi = I Fi + I Pi + I zi + I qi (3),

[0104] In the formula, I Fi is the electricity spot revenue in the i-th year, I Pi is the frequency regulation revenue in the i-th year, I zi is the leasing revenue in the i-th year, I qi is the other revenue in the i-th year including black start, capacity reserve, and salvage recovery.

[0105] The electricity spot revenue I in the i-th year Fi The expression is:

[0106]

[0107] In the formula, N df is the average annual call times of the energy-type energy storage; Q n is the rated capacity of the energy-type energy storage; θ DODThe charge-discharge depth of the energy-type energy storage; σ is the annual decay rate of the energy-type energy storage, which is related to the number of operations; η f is the discharge efficiency of the energy-type energy storage; k f is the average discharge electricity price of the power spot market; η c is the charge efficiency of the energy-type energy storage; k c is the average charge electricity price of the power spot market; i is the number of years of power station operation.

[0108] In this embodiment, N df is the annual average number of calls of the electrochemical energy storage, with a value of 300 times / year; Q n is the rated capacity of the electrochemical energy storage; θ DOD is the charge-discharge depth of the electrochemical energy storage, with a value of 95%; σ is the annual decay rate of the electrochemical energy storage, which is related to the number of operations; η f is the discharge efficiency of the electrochemical energy storage, with a value of 92.195%; k f takes a value of 700 yuan / kWh; η c is the charge efficiency of the energy-type energy storage system, with a value of 92.195%; k c takes a value of 300 yuan / kWh.

[0109] Among them, the calculation formula for the annual decay rate σ is:

[0110] In the formula, R nc is the mileage of the energy-type energy storage participating in charge frequency modulation throughout the year, R nc = ζ pc R c - N dpc P g , ζ pc is the proportion of the charge frequency modulation mileage with a duration longer than that of the power-type energy storage system, N dpc is the number of charge frequency modulation calls with a duration longer than that of the power-type energy storage system; R nf is the mileage of the energy-type energy storage participating in discharge frequency modulation throughout the year, R nf = ζ pf R f - N dpf P g , ζ pf is the proportion of the discharge frequency modulation mileage with a duration longer than that of the power-type energy storage system, N dpf is the number of discharge frequency modulation calls with a duration longer than that of the power-type energy storage system; σ c is the energy decay rate of a single full charge and full discharge cycle; Δt is the frequency modulation interval.

[0111] It is calculated that:

[0112]

[0113]

[0114] Substituting the calculation results of the above R nc and R nf into Equation (5) gives:

[0115]

[0116] Therefore, the electricity spot revenue is:

[0117]

[0118] The expression for the frequency regulation revenue I Pi in the i-th year is: I Pi = K p (R c + R f )k p (6),

[0119] where K p is the average frequency regulation performance index coefficient; R c is the annual average charging frequency regulation mileage; R f is the annual average discharging frequency regulation mileage; k p is the frequency regulation mileage compensation price.

[0120] In this embodiment, K p is the average frequency regulation performance index coefficient, with a value of 2; R c is the annual average charging frequency regulation mileage, with a value of 1.5 million MW; R f is the annual average discharging frequency regulation mileage, with a value of 1.5 million MW; k p is the frequency regulation mileage compensation price, with a value of 6 yuan / MW; therefore, the frequency regulation revenue is:

[0121]

[0122] The expression for the leasing revenue I zi is:

[0123] I zi = k zl P n (7),

[0124] where k zl is the annual MW power leasing price; P n is the installed power of the energy storage system.

[0125] In this embodiment, the leasing revenue is:

[0126]

[0127] Other income I in the i-th year, including black start, capacity reserve, and salvage value recovery qi A fixed value is selected according to the local power market situation. This embodiment does not consider this part of the income, that is, I qi = 0.

[0128] Based on the above analysis, the total income I in the i-th year szi is:

[0129]

[0130] C in the expenditure of the i-th year independent hybrid energy storage power station zci The expression is:

[0131] C zci = C inv_i + C com_i + C gh_i + C lo_i (8),

[0132] In the formula, C inv_i is the system investment cost, C com_i is the system operation and maintenance cost, C gh_i is the system replacement cost, C lo_i is the transmission and distribution price, network loss, and fund surcharge cost to be paid for the charge and discharge loss electricity.

[0133] The system investment cost C inv_i The expression is:

[0134]

[0135] In the formula, Q n is the rated capacity of the energy-type energy storage; k n is the cost of the electrochemical energy storage; P g is the installed power of the power-type energy storage system; k g is the cost of the power-type energy storage, i is the number of years of power station operation, and N is the life of the power station.

[0136] In this embodiment, k n is the cost per Wh of the energy-type energy storage; k g is the cost per W of the power-type energy storage. According to the current energy storage investment cost, k n is 0.8 yuan / Wh; k g is 3 yuan / W.

[0137] The system operation and maintenance cost C com_i The expression is:

[0138] C com_i = ξ n Q n k n + ξ gP g k g (10),

[0139] where ξ n is the proportion of the operation and maintenance cost of the energy - type energy storage, and ξ g is the proportion of the operation and maintenance cost of the power - type energy storage system.

[0140] In this embodiment, ξ n is the proportion of the operation and maintenance cost of the electrochemical energy storage system, taking the value of 2%; ξ g is the proportion of the operation and maintenance cost of the power - type energy storage system, taking the value of 1%.

[0141] The system replacement cost C gh_i has the following expression:

[0142]

[0143] where η is the proportion of the system replacement cost, i is the number of years of power station operation, i = 1, …, N.

[0144] In this embodiment, η takes the value of 30%, and N is the power station life of 25 years.

[0145] The cost of transmission and distribution price, network loss and fund surcharge C lo_i to be paid for the charge - discharge loss electricity is:

[0146] Clo_i = ktd(NdfQn(1 - ηcηf)+RcΔtηn)(12),

[0147] where k td is the discount of the transmission and distribution price, line loss cost in the grid - connection link and fund surcharge of the energy storage power station, N df is the average annual call - up times of the electrochemical energy storage; η f is the discharge efficiency of the energy - type energy storage; η c is the charge efficiency of the energy - type energy storage; R c is the average annual charge - frequency regulation mileage; Δt is the frequency - regulation interval; η n is the charge - discharge loss of the power - type energy storage.

[0148] Combining the assignments of each variable and substituting equations (9) - (12) into equation (8), the cost C zci in the i - th year can be obtained as:

[0149]

[0150] Solve the objective function to obtain the installed power of the energy - type energy storage system and the installed power of the power - type energy storage system, and configure the capacity of the independent hybrid energy storage power station according to the installed power of the energy - type energy storage system and the installed power of the power - type energy storage system.

[0151] In this embodiment, the particle swarm optimization algorithm is used to solve the objective function. The particle swarm optimization algorithm is a heuristic random algorithm, which is applicable to multi-dimensional, non-linear, and continuous optimization problems, and has the characteristics of fast convergence speed, simple programming, and strong robustness. In this embodiment, the particle swarm optimization algorithm is used to solve the installed power P of the energy storage system g and the installed power P of the power storage system n .

[0152] The process of using the particle swarm optimization algorithm to solve the objective function is as follows:

[0153] 1) Initialization: Set parameters. P g , P n The upper and lower limits L and U of the search space are: L = [0 0], U = [100 100], the maximum number of iterations N = 100, and the learning acceleration factors c 1 and c 2 , c 1 and c 2 are set to the constant 2; the inertia factor w is set to 0.6; the speed ranges v max and v min of each particle are 1 and -1 respectively, and the number of particle swarms n is 100; based on the parameter settings, the positions x i and speeds v i of each particle in the particle swarm are initially set, where i = 1, 2;

[0154] 2) Evaluate fitness: Calculate the fitness function for each particle. According to Equation (2), the fitness function is:

[0155] F = J + f cf ,

[0156] In the formula, f cf is the penalty term when the constraint conditions described in Equation (2) are not satisfied, and a relatively large negative value can be selected.

[0157] Store the current particle position and fitness value in the individual optimal position P best of the particle, and store the position and fitness value of the individual with the optimal fitness value in P best of all particles in the global optimal position G best ;

[0158] 3) Update the speed and displacement of the particle;

[0159] 4) After the particle is updated, compare the fitness function value of each particle with the previous fitness value. If it is better, use the current position as the current best position;

[0160] 5) Compare the current all P bset and Gbset Update G with the value bset ;

[0161] 6) If the iteration count is satisfied, the algorithm stops and outputs the required result; otherwise, return to step 3) to continue the search.

[0162] Embodiment 2

[0163] A capacity configuration system for an independent hybrid energy storage power station based on maximizing revenue, the architecture diagram is as Figure 3 shown, including a total accessible power determination module, a charge and discharge parameter acquisition module for the energy storage system, a duration confirmation module for the energy storage system, a parameter acquisition module for revenue calculation related parameters, a price parameter and frequency modulation parameter acquisition module, a target function and constraint condition construction module, and a capacity configuration module.

[0164] The total accessible power determination module is used to determine the total accessible power of the independent hybrid energy storage power station by combining the project construction site of the independent hybrid energy storage power station and the accessible situation of the power system.

[0165] The charge and discharge parameter acquisition module for the energy storage system is used to respectively acquire the charge and discharge parameters of the energy-type energy storage system and the power-type energy storage system according to the characteristics of the energy-type energy storage system and the power-type energy storage system of the independent hybrid energy storage power station.

[0166] The duration confirmation module for the energy storage system is used to determine the duration of the energy-type energy storage system according to the energy storage configuration policy of the project construction site of the independent hybrid energy storage power station, and determine the duration of the power-type energy storage system according to the typical duration of the candidate power-type energy storage system of the independent hybrid energy storage power station or the historical high-probability frequency modulation duration of the project construction site of the independent hybrid energy storage power station.

[0167] The parameter acquisition module for revenue calculation related parameters is used to acquire the parameters related to revenue calculation of the independent hybrid energy storage power station according to the revenue policy of the independent hybrid energy storage power station at the construction site.

[0168] The price parameter and frequency modulation parameter acquisition module is used to acquire the price parameters and frequency modulation parameters of the project construction site of the independent hybrid energy storage power station by analyzing the historical data of the surrounding independent hybrid energy storage power stations.

[0169] The target function and constraint condition construction module is used to construct the target function and constraint conditions based on the total accessible power of the independent hybrid energy storage power station, the charge and discharge parameters of the energy-type energy storage system and the power-type energy storage system, the duration of the energy-type energy storage system, the duration of the power-type energy storage system, the parameters related to revenue calculation, the price parameters and frequency modulation parameters of the project construction site of the independent hybrid energy storage power station, based on the installed power of the energy-type energy storage system and the installed power of the power-type energy storage system, and with the goal of maximizing the revenue of the independent hybrid energy storage power station over its entire life cycle.

[0170] A capacity configuration module is used to solve the objective function to obtain the installed power of the energy storage system and the installed power of the power storage system, and configure the capacity of the independent hybrid energy storage power station according to the installed power of the energy storage system and the installed power of the power storage system.

[0171] The specific implementation methods of each module in this system are the same as those described in Embodiment 1 and will not be elaborated here.

[0172] Embodiment 3

[0173] An electronic device includes: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor realizes the method for configuring the capacity of an independent hybrid energy storage power station based on maximizing revenue as described in Embodiment 1 above, and the system for configuring the capacity of an independent hybrid energy storage power station based on maximizing revenue as described in Embodiment 2 by executing the computer instructions.

[0174] Embodiment 4

[0175] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it realizes the method for configuring the capacity of an independent hybrid energy storage power station based on maximizing revenue as described in Embodiment 1 above, and the system for configuring the capacity of an independent hybrid energy storage power station based on maximizing revenue as described in Embodiment 2.

[0176] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present application can be implemented in various computer languages, for example, object-oriented programming languages such as Java, C++, Python, and interpreted scripting languages such as JavaScript.

[0177] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate for implementation in the processFigure 1 one process or multiple processes and / or blocks Figure 1 a device for the functions specified in one block or multiple blocks.

[0178] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device that implements the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0179] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0180] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concepts. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present application.

[0181] Obviously, those skilled in the art can make various changes and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and variations.

Claims

1. A capacity configuration method for an independent hybrid energy storage power station based on revenue maximization, characterized in that: include: Determine the total power that can be connected to the independent hybrid energy storage power station based on the construction site of the independent hybrid energy storage power station project and the accessibility of the power system; According to the characteristics of the energy type energy storage system and the power type energy storage system of the independent hybrid energy storage power station, the charging and discharging parameters of the energy type energy storage system and the power type energy storage system are obtained respectively; Determine the duration of the energy storage system based on the energy storage configuration policy at the construction site of the independent hybrid energy storage power station project, and determine the duration of the power storage system based on the typical duration of the power storage system to be selected for the independent hybrid energy storage power station or the historical high-probability frequency modulation duration at the construction site of the independent hybrid energy storage power station project; According to the revenue policy of the independent hybrid energy storage power station at the construction site, obtain the relevant parameters for the revenue calculation of the independent hybrid energy storage power station; By analyzing the historical data of the surrounding independent hybrid energy storage power stations, the electricity price parameters and frequency regulation parameters of the independent hybrid energy storage power station project construction site are obtained; According to the total power that can be connected to the independent hybrid energy storage power station, the charging and discharging parameters of the energy-type energy storage system and the power-type energy storage system, the duration of the energy-type energy storage system, the duration of the power-type energy storage system, the parameters related to the benefit calculation, the electricity price parameters and frequency modulation parameters of the independent hybrid energy storage power station project construction site, based on the installed power of the energy-type energy storage system and the installed power of the power-type energy storage system, and with the goal of maximizing the benefits of the independent hybrid energy storage power station over its entire life cycle, the objective function and constraints are constructed; The objective function is solved to obtain the installed power of the energy-type energy storage system and the installed power of the power-type energy storage system. The capacity of the independent hybrid energy storage power station is configured according to the installed power of the energy-type energy storage system and the installed power of the power-type energy storage system.

2. The independent hybrid energy storage power station capacity configuration method based on profit maximization according to claim 1 is characterized in that: The charge and discharge parameters of the energy-type energy storage system include charge efficiency, discharge efficiency, charge and discharge energy decay rate, and charge and discharge depth. The charge and discharge parameters of the power-type energy storage system include charge and discharge cycle efficiency.

3. The independent hybrid energy storage power station capacity configuration method based on profit maximization according to claim 2 is characterized in that: The relevant parameters for calculating the revenue of the independent hybrid energy storage power station include frequency regulation mileage compensation price, capacity leasing price, transmission and distribution price and fund surcharge, and line loss cost in the access link.

4. The independent hybrid energy storage power station capacity configuration method based on profit maximization according to claim 3 is characterized in that: The electricity price parameters of the construction site of the independent hybrid energy storage power station project include the average charging electricity price, the average discharging electricity price, and the average annual call times in the electricity spot market; the frequency modulation parameters of the construction site of the independent hybrid energy storage power station project include the average frequency modulation performance index coefficient, the average annual charging frequency modulation mileage, the average annual discharging frequency modulation mileage, the proportion of charging frequency modulation mileage with a duration longer than the duration of the power-type energy storage system, and the proportion of discharging frequency modulation mileage with a duration longer than the duration of the power-type energy storage system; In the calculation of the average charging price, average discharging price, average frequency regulation performance index coefficient, annual average charging frequency regulation mileage, and annual average discharging frequency regulation mileage in the power spot market, the annual call curve is first classified into scenarios, and then calculated by the following formula: In the formula, x is the mean of the data to be processed; x j is the data value to be processed in the jth scenario; ξ j is the occurrence probability of scene j; M is the number of typical scenes after scene classification.

5. The independent hybrid energy storage power station capacity configuration method based on profit maximization according to claim 4 is characterized in that: The objective function and constraints are: Among them, r is the discount rate, N is the life of the power plant, I szi is the revenue of the independent hybrid energy storage power station in year i, C zci is the expenditure of the independent hybrid energy storage power station in year i; n is the installed power of energy storage, P g is the installed power of the power type energy storage system, ζ pc The proportion of charging frequency modulation mileage with a duration longer than that of the power-type energy storage system, ζ pf is the proportion of discharge frequency regulation mileage whose duration is longer than that of power-type energy storage system, ξ n is the proportion of energy storage operation and maintenance costs, ξ g is the proportion of operation and maintenance cost of power-type energy storage system, R nc The mileage of energy storage participating in charging frequency modulation throughout the year, R nf The mileage of energy storage participating in discharge and frequency regulation throughout the year.

6. The independent hybrid energy storage power station capacity configuration method based on profit maximization according to claim 5 is characterized in that: The independent hybrid energy storage power station income in year i is szi The expression is: I szi =I Fi +I Pi +I zi +I qi (3), In the formula, I Fi is the electricity spot revenue in the i-th year, I Pi is the frequency modulation income in the i-th year, I zi is the rental income in the i-th year, I qi is other income including black start, capacity reserve and residual value recovery in year i; The electricity spot income in year i is I Fi The expression is: Where N df Q is the average annual call times of energy storage; n It is the rated capacity of energy storage; θ DOD is the charge and discharge depth of energy storage; σ is the annual attenuation rate of energy storage, which is related to the number of operations; η f is the energy storage discharge efficiency; k f is the average spot electricity discharge price; η c is the energy storage charging efficiency; k c is the average spot electricity charging price; i is the number of years the power station has been in operation; Among them, the calculation formula of the annual attenuation rate σ is: In the formula, R nc The mileage of energy storage participating in charging frequency modulation throughout the year, R nc =ζ pc R c -N dpc P g , pc is the proportion of charging frequency modulation mileage whose duration is longer than that of power-type energy storage system, N dpc The number of charging frequency modulation calls whose duration is longer than that of the power type energy storage system; R nf The mileage of energy storage participating in discharge frequency regulation throughout the year, R nf =ζ pf R f -N dpf P g , pf is the proportion of discharge frequency regulation mileage whose duration is longer than that of power-type energy storage system, N dpf The number of discharge frequency modulation calls whose duration is longer than that of the power type energy storage system; σ c is the energy decay rate of a full charge-discharge cycle; Δt is the frequency modulation interval; The frequency modulation income in the i-th year is I Pi The expression is: Pi =K p (R c +R f ) p (6) In the formula, K p is the frequency modulation average performance index coefficient; R c R is the annual average charging frequency modulation mileage; f is the annual average discharge frequency modulation mileage; k p Compensation price for frequency modulation mileage; The rental income I zi The expression is: I zi =k zl P n (7), In the formula, k zl is the annual MW power rental price; P n The installed power of the energy storage system; Other income I including black start, capacity reserve and residual value recovery in the i-th year qi Select a fixed value based on local electricity market conditions.

7. The independent hybrid energy storage power station capacity configuration method based on profit maximization according to claim 6 is characterized by: The expenditure of the independent hybrid energy storage power station in year i is C zci The expression is: C zci =C inv_i +C com_i +C gh_i +C lo_i (8), In the formula, C inv_i is the system investment cost, C com_i is the system operation and maintenance cost, C gh_i is the system replacement cost, C lo_i The transmission and distribution price, network loss and fund surcharge costs to be paid for the power loss in charging and discharging; The system investment cost C inv_i The expression is: In the formula, Q n is the rated capacity of energy storage; k n Cost of electrochemical energy storage; P g is the installed power of the power type energy storage system; k g is the cost of power type energy storage, i is the number of years the power station has been in operation, and N is the life of the power station; The system operation and maintenance cost C com_i The expression is: C com_i =ξ n Q n k n +ξ g P g k g (10), In the formula, ξ n is the proportion of energy storage operation and maintenance costs, ξ g The proportion of operation and maintenance costs of power-type energy storage systems; The system replacement cost C gh_i The expression is: Where η is the proportion of system replacement cost, i is the number of years the power station has been in operation, i = 1,…,N; The transmission and distribution price, network loss and fund additional cost C that need to be paid for the charging and discharging loss lo_i for: Clo_i=ktd(NdfQn(1-ηcηf)+RcΔtηn)(12), In the formula, k td is the transmission and distribution price of the energy storage power station, the discount of the line loss cost in the grid-connected link and the fund surcharge, N df is the average annual call times of electrochemical energy storage; η f It is the energy storage discharge efficiency; η c is the energy storage charging efficiency; R c is the annual average charging frequency modulation mileage; Δt is the frequency modulation interval; η n It is the charging and discharging loss of power type energy storage.

8. The independent hybrid energy storage power station capacity configuration method based on profit maximization according to claim 7 is characterized in that: The particle swarm optimization algorithm is used to solve the objective function. The process includes: 1) Initialization; set parameters and set the installed power P of the energy storage system n And the installed power of power type energy storage system P g The upper and lower limits of the search space L and U, the maximum number of iterations N, the learning acceleration factors c1 and c2, the inertia factor w; the speed range v of each particle max and v min , the number of particle swarms n, and the position x of each particle in the particle swarm based on the parameter settings i and speed v i Initial settings of 2) Fitness evaluation: Calculate the fitness function for each particle. According to formula (2), the fitness function is: F=J+f cf , In the formula, f cf is the penalty term when the constraint condition described in formula (2) is not met, and a larger negative value can be selected; The current particle position and fitness value are stored in the particle's individual optimal position P best In the equation, the P of all particles best The position and fitness value of the individual with the best fitness value are stored in the global optimal position G best middle; 3) Update the velocity and displacement of particles; 4) After the particle is updated, the fitness function value of each particle is compared with the previous fitness value. If it is better, Consider your current position as your best position at the moment; 5) Compare all current P bset and G bset Update the value of G bset ; 6) If the number of iterations is met, the algorithm stops and outputs the required result, otherwise returns to step 3) to continue searching.

9. A capacity configuration system for an independent hybrid energy storage power station based on revenue maximization according to any one of claims 1 to 8, characterized in that: It includes a module for determining the total power that can be connected, a module for acquiring the charging and discharging parameters of the energy storage system, a module for confirming the duration of the energy storage system, a module for acquiring parameters related to the revenue calculation, a module for acquiring electricity price parameters and frequency regulation parameters, a module for constructing objective functions and constraints, and a capacity configuration module. The accessible total power determination module is used to determine the accessible total power of the independent hybrid energy storage power station in combination with the construction site of the independent hybrid energy storage power station project and the accessibility of the power system; The energy storage system charging and discharging parameter acquisition module is used to respectively acquire the charging and discharging parameters of the energy type energy storage system and the power type energy storage system according to the characteristics of the energy type energy storage system and the power type energy storage system of the independent hybrid energy storage power station; The energy storage system duration confirmation module is used to determine the duration of the energy type energy storage system according to the energy storage configuration policy of the independent hybrid energy storage power station project construction site, and determine the duration of the power type energy storage system according to the typical duration of the power type energy storage system to be selected in the independent hybrid energy storage power station or the historical high probability frequency modulation duration of the independent hybrid energy storage power station project construction site; The revenue calculation related parameter acquisition module is used to acquire the revenue calculation related parameters of the independent hybrid energy storage power station according to the revenue policy of the independent hybrid energy storage power station at the construction site; The electricity price parameter and frequency modulation parameter acquisition module is used to acquire the electricity price parameters and frequency modulation parameters of the construction site of the independent hybrid energy storage power station project by analyzing the historical data of the surrounding independent hybrid energy storage power stations; The objective function and constraint condition construction module is used to construct the objective function and constraint conditions based on the total power that can be connected to the independent hybrid energy storage power station, the charging and discharging parameters of the energy-type energy storage system and the power-type energy storage system, the duration of the energy-type energy storage system, the duration of the power-type energy storage system, the parameters related to the benefit calculation, the electricity price parameters and frequency modulation parameters of the construction site of the independent hybrid energy storage power station project, based on the installed power of the energy-type energy storage system and the installed power of the power-type energy storage system, and with the goal of maximizing the benefits of the independent hybrid energy storage power station over the entire life cycle; The capacity configuration module is used to solve the objective function, obtain the installed power of the energy-type energy storage system and the installed power of the power-type energy storage system, and configure the capacity of the independent hybrid energy storage power station according to the installed power of the quantity-type energy storage system and the installed power of the power-type energy storage system.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the independent hybrid energy storage power station capacity configuration method based on profit maximization as described in any one of claims 1 to 8 is implemented.

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