System and method for calculating installation rated power of shared energy storage power station
Through the installed rated power calculation system of shared energy storage power stations, simulation analysis and particle swarm algorithms are used to optimize the installed rated power of the installed rated power of the energy storage power stations, and the synergy and profit maximization of all parties are achieved.
Patent Information
- Application Number
- CN202510158032.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-13
- Publication Date
- 2025-06-13
AI Technical Summary
With the increase in the penetration rate of new energy, how to reasonably set the installed power of the energy storage power station to ensure that it matches different application scenarios on the power supply side, the grid side, and the user side, and achieve synergistic efficiency and profit maximization of all parties.
It provides a rated power calculation system for a shared energy storage power station, including a life calculation module, a net profit objective function establishment module and a rated power calculation module. Through simulation analysis and particle swarm algorithm, the installation power rated power is optimized, and net profit is maximized, while meeting the usage needs of all parties.
A reasonable installation rated power setting is achieved, ensuring the operational efficiency and economy of the energy storage power station, meeting the needs of the power side, the grid side and the user side, and avoiding power waste or insufficient power.
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Figure CN120150205A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of energy storage, and particularly relates to a system and method for calculating the installed rated power of a shared energy storage power station. Background Art
[0002] In high-proportion new energy regions, such as wind farms and solar photovoltaic farms, although renewable energy is abundant, its intermittency and volatility bring a series of challenges to the power system. With the continuous increase in the proportion of clean energy, the power system faces the problem of energy consumption, especially when the volatility of new energy power generation is relatively large. The shared energy storage system emerges as the times require, aiming to solve the spatio-temporal inconsistency in new energy consumption and improve the flexibility and stability of the power system. By planning large-scale shared energy storage systems, the power supply and demand can be better balanced, excess energy can be stored and released during peak demand periods, providing reliable peak shaving and frequency modulation support for the power system, promoting the large-scale application of renewable energy in the power system, and realizing a clean and sustainable energy future.
[0003] With the increase in the penetration rate of new energy, the demand for energy storage technology becomes more and more complex, specifically manifested in the power source side (new energy power plants and conventional power plants), the power grid side, and the user side. They have different usage scenarios, and energy storage can be widely used to provide regulation capabilities. Their respective usage scenarios are specifically as follows: on the power source side, smoothing the output fluctuations of new energy and frequency modulation belong to ultra-short time scale applications, improving the transmission of new energy and providing standby capacity belong to short time scale applications, and reducing seasonal power curtailment belongs to long time scale applications; on the power grid side, improving system stability and providing reactive power support both belong to ultra-short time scale applications, and delaying the congestion of transmission and transformation equipment belongs to short time scale applications; on the user side, improving power quality belongs to ultra-short time scale applications, standby power supply and short-term demand side response belong to short time scale applications, and seasonal demand side response belongs to long time scale applications.
[0004] These complex usage requirements make it difficult to determine the parameters when building an energy storage power station, especially the installed rated power. If the installed rated power is too large, it will cause the energy storage power station to operate at a low load, increasing the operation and maintenance costs and construction costs in vain. If the installed rated power is too small, it will not meet the application requirements. Therefore, how to set the installed rated power of the energy storage power station in combination with the different application scenarios and usage methods on the power source side, the power grid side, and the user side, so that it matches the application scenarios on the power source side, the power grid side, and the user side, and all parties can cooperate synergistically when participating in the operation of the energy storage power station, and at the same time maximize the profits of all parties has become an urgent problem to be solved. Summary of the Invention
[0005] The purpose of the present invention is to address the deficiencies of the prior art and provide a system for calculating the installed rated power of a shared energy storage power station, including:
[0006] A shared energy storage power station life calculation module, which is used to calculate the service life of the shared energy storage power station according to the unit charge-discharge times and the rated total charge-discharge cycles of the shared energy storage power station;
[0007] A net profit objective function establishment module, which is used to calculate the profit of the shared energy storage power station according to the ways of using the shared energy storage power station by the power grid, power plants, and users and the rated installed power of the shared energy storage power station, calculate the investment cost of the shared energy storage power station according to the rated installed power of the shared energy storage power station, and establish a net profit objective function of the shared energy storage power station according to the profit and investment cost of the shared energy storage power station within the service life of the shared energy storage power station;
[0008] A shared energy storage power station rated installed power calculation module, which is used to perform simulation analysis on the net profit objective function of the shared energy storage power station with the service life of the shared energy storage power station as the limiting condition and the preset comprehensive evaluation index of the power planning of the shared energy storage power station as the optimization iteration condition to obtain the optimal value of the rated installed power of the shared energy storage power station.
[0009] Further, in the shared energy storage power station life calculation module, the calculation formula for calculating the service life of the shared energy storage power station according to the unit charge-discharge times and the rated total charge-discharge cycles of the shared energy storage power station is as follows:
[0010]
[0011] In the formula, T is the service life of the shared energy storage power station, N c is the rated total cycle number of the shared energy storage power station, T d is the annual operation days of the shared energy storage power station, T t is the daily charge-discharge times of the shared energy storage power station.
[0012] Further, in the net profit objective function establishment module, the specific method for calculating the profit of the shared energy storage power station according to the ways of using the shared energy storage power station by the power grid, power plants, and users and the rated installed power of the shared energy storage power station is:
[0013] The profit channels of the shared energy storage power station obtained according to the ways of using the shared energy storage power station by the power grid, power plants, and users include peak-valley arbitrage profit R 1 , peak regulation compensation profit R 2 , average annual leasing profit R 3 , profit from improving the power supply reliability of the power grid R 4 , profit from reducing the coal consumption of conventional power plants R 5 , average annual peak regulation service profit R 6 , and the specific calculation formula is as follows:
[0014] The calculation formula of peak-valley arbitrage profit R 1 :
[0015]
[0016] Wherein, is the annual peak shaving and valley filling power of the shared energy storage power station, e h and are the peak load electricity prices, e l is the valley load electricity price;
[0017] The peak shaving compensation profit R 2 Calculation formula:
[0018]
[0019] Wherein, is the annual peak shaving power of the shared energy storage power station, e f is the compensation standard electricity price for participating in peak shaving ancillary services;
[0020] The annual leasing profit R 3 Calculation formula:
[0021]
[0022] Wherein, is the annual leased power of the shared energy storage power station for new energy power plants, e ren is the unit electricity price for leasing of new energy power plants;
[0023] The profit R for improving the power supply reliability of the power grid 4 Calculation formula:
[0024]
[0025] Wherein, is the annual power used for standby power supply of the shared energy storage power station, k CAIF is the average annual power outage rate of the power grid, R IEA is the power grid user power outage loss measurement coefficient, and the power grid user power outage loss measurement coefficient R IEA is valued according to the GDP output value per unit electricity in the region;
[0026] The profit R for reducing the coal consumption of conventional power plants 5 Calculation formula:
[0027]
[0028]
[0029] Wherein, is the annual discharge of the shared energy storage power station, Δd coal is the reduction of coal consumption of conventional power plants per unit electricity, p coalis the standard coal price, η l is the line loss of the shared energy storage power station, η es is the conversion efficiency of the shared energy storage power station, the conversion efficiency of the shared energy storage power station η es is the ratio of the discharge amount to the charge amount of the shared energy storage power station, η d is the charge-discharge depth of the shared energy storage power station, d es is the annual attenuation rate of the charge-discharge depth, Q is the installed capacity of the charge-discharge depth;
[0030] The average annual profit of peak shaving service is R 6 The calculation formula of:
[0031] R 6 = e AGC kD
[0032] In the formula, e AGC is the AGC frequency modulation mileage price, k is the regulation performance index, D is the annual frequency modulation mileage of the regulation performance index;
[0033] The calculation formula of the annual frequency modulation mileage D of the regulation performance index:
[0034] D = N AGC βηαP 0
[0035] In the formula, N AGC is the annual AGC frequency modulation response times of the shared energy storage power station, η is the grid energy efficiency, α is the effective AGC frequency modulation response coefficient of the shared energy storage power station, the effective AGC frequency modulation response coefficient α of the shared energy storage power station is related to the frequency modulation type participated by the shared energy storage power station and the proportion of the power station participating in the dispatching, β is the AGC frequency modulation output coefficient;
[0036] The AGC frequency modulation output coefficient β is the ratio of the actual frequency modulation power of the effective response of the energy storage power station to the rated power of the power station when the energy storage power station participates in the effective response:
[0037]
[0038] In the formula, P k is the actual frequency modulation power of the effective AGC frequency modulation participated by the shared energy storage power station at time k, P is the rated installed power of the shared energy storage power station;
[0039] The annual frequency modulation response times N of the shared energy storage power station AGC The calculation formula of:
[0040]
[0041] In the formula, ψ is the annual capacity operation ratio of the shared energy storage power station, T d is the annual operation days of the shared energy storage power station, T t is the daily charge-discharge times of the shared energy storage power station, teff is the duration of the effective frequency modulation response of the shared energy storage power station, t int is the interval time of the effective frequency modulation response of the shared energy storage power station.
[0042] Furthermore, in the net profit objective function establishment module, the specific method for calculating the investment cost of the shared energy storage power station according to the rated installed power of the shared energy storage power station is as follows:
[0043] The investment cost of the shared energy storage power station includes the initial investment cost C inv , the operation and maintenance cost C OM , and the land cost C t ;
[0044] The formula for the initial investment cost C inv of the shared energy storage power station is as follows:
[0045]
[0046] In the formula, Q is the installed capacity of the shared energy storage power station, P is the rated installed power of the shared energy storage power station, C Q is the unit capacity cost of the shared energy storage power station, C P is the unit power cost of the shared energy storage power station, and r is the discount rate;
[0047] The formula for the operation and maintenance cost C OM of the shared energy storage power station is as follows:
[0048] C OM = β es C inv
[0049] In the formula, β es is the annual operation and maintenance coefficient of the shared energy storage power station;
[0050] The formula for the land cost C t of the shared energy storage power station is as follows:
[0051] C t = Pw p C Pt
[0052] In the formula, w p is the land area occupied by the unit rated installed power, and C Pt is the land purchase cost per unit area.
[0053] Furthermore, in the net profit objective function establishment module, within the service life range of the shared energy storage power station, a net profit objective function of the shared energy storage power station is established based on the profit and investment cost of the shared energy storage power station. The formula for the net profit objective function of the shared energy storage power station is as follows:
[0054] f = (k s1 (R 1 + R 4 ) + R 2 + k s2 R 3 + R 5 + R 6 )T - (C inv + C OM + C t )
[0055] where f is the net profit objective function, k s1 is the profit distribution ratio between the investment party of the shared energy storage power station and the power grid party, k s2 is the profit distribution ratio between the investment party of the shared energy storage power station and the lessee, T is the service life of the shared energy storage power station, C inv is the initial investment cost of the shared energy storage power station, C OM is the operation and maintenance cost of the shared energy storage power station, C t is the land cost of the shared energy storage power station.
[0056] Furthermore, in the power planning comprehensive evaluation index establishment module, the power planning comprehensive evaluation index specifically includes the economic benefit dimension, the reliable benefit dimension, the energy benefit dimension, the environmental benefit dimension and the market benefit dimension. The economic benefit dimension includes the net unit capacity revenue index and the cost profit rate index. The reliable benefit dimension includes the component safety degree and the fire or explosion risk control degree. The energy benefit dimension includes the abandoned wind power reduction rate index and the abandoned photovoltaic power reduction rate index. The environmental benefit dimension includes the carbon dioxide emission reduction amount index. The market benefit dimension includes the demand-side market activity index and the shared energy storage equivalent utilization rate index.
[0057] Furthermore, in the installed rated power calculation module of the shared energy storage power station, with the service life of the shared energy storage power station as the limiting condition and the preset power planning comprehensive evaluation index of the shared energy storage power station as the optimization iteration condition, the specific method for simulating and analyzing the net profit objective function of the shared energy storage power station to obtain the optimal value of the installed rated power of the shared energy storage power station is as follows:
[0058] The simulation analysis is the particle swarm algorithm. First, randomly initialize the position and velocity of the particle swarm. The particle is defined as the installed rated power P of the shared energy storage power station. Calculate the fitness value of each particle according to the net profit objective function f. Compare the fitness value of each particle with its individual historical optimal value, update the individual historical optimal position and fitness value, and compare the individual historical optimal fitness values of all particles to find the global historical optimal position and fitness value;
[0059] Then, calculate the new velocity of each particle according to the velocity update formula, calculate the new position of each particle according to the position update formula, calculate the fitness value of each particle at the new position according to the net profit objective function f, compare the new fitness value of each particle with its individual historical best value, update the individual historical best position and fitness value, compare the new individual historical best fitness values of all particles with the global historical best value, and update the global historical best position and fitness value;
[0060] If the fitness value reaches the threshold, stop the iteration; otherwise, continue the iteration;
[0061] Output the global historical best position as the solution of the objective function, and the global historical best position is defined as the optimal value of the installed rated power P of the shared energy storage power station;
[0062] The velocity update formula is as follows:
[0063] v(i)(t + 1) = v(i)(t)·w + c 1 ·r 1 (pbest(i) - x(i)(t)) + c 2 ·r 2 (gbest - x(i)(t))
[0064] In the formula, v(i)(t + 1) is the velocity of the i-th particle at time t + 1, v(i)(t) is the velocity of the i-th particle at time t, w is the inertia weight factor, and the inertia weight factor w is used to control the influence degree of the current velocity of the particle on the velocity at the next moment. c 1 and c 2 are the first acceleration constant and the second acceleration constant respectively. The first acceleration constant c 1 and the second acceleration constant c 2 represent the weights of the particle learning from the individual historical best position and the global historical best position respectively. r 1 and r 2 are the first random number and the second random number between [0, 1] respectively. r 1 and r 2 are used to increase the randomness and diversity of the search. pbest(i) represents the individual historical best position of the i-th particle, x(i)(t) represents the position of the i-th particle at time t, and gbest represents the global historical best position;
[0065] The position update formula is as follows:
[0066] x(i)(t + 1) = x(i)(t) + v(i)(t + 1)
[0067] In the formula, x(i)(t) represents the position of the i-th particle at time t + 1.
[0068] A method for calculating the rated installed power of a shared energy storage power station, comprising the following steps:
[0069] Calculate the service life of the shared energy storage power station according to the unit charge-discharge times and the total rated charge-discharge cycle times of the shared energy storage power station;
[0070] Calculate the profit of the shared energy storage power station according to the ways of using the shared energy storage power station by the power grid, power plants, and users and the rated installed power of the shared energy storage power station, calculate the investment cost of the shared energy storage power station according to the rated installed power of the shared energy storage power station, and establish a net profit objective function of the shared energy storage power station within the service life of the shared energy storage power station according to the profit and investment cost of the shared energy storage power station;
[0071] Taking the service life of the shared energy storage power station as a limiting condition and the preset comprehensive evaluation index of the power plan of the shared energy storage power station as the optimization iteration condition, conduct a simulation analysis on the net profit objective function of the shared energy storage power station to obtain the optimal value of the rated installed power of the shared energy storage power station.
[0072] A computer-readable medium, on which a computer program / instructions are stored, and the computer program / instructions execute the above-mentioned method for calculating the rated installed power of the shared energy storage power station when running.
[0073] A computer program product, comprising computer program / instructions, and the computer program / instructions implement the above-mentioned method for calculating the rated installed power of the shared energy storage power station when executed by a processor.
[0074] The beneficial effects of the present invention are as follows:
[0075] 1. Substitute the cost formula related to the rated installed power into the net profit function, and combine the usage scenarios of the power supply side, power grid side, and user side to formulate a comprehensive evaluation index for power plan, which can calculate the appropriate rated installed power. Specifically, by maximizing the net profit of the shared energy storage power station, under the comprehensive evaluation index of the power plan, it can meet the usage requirements of the power supply side, power grid side, and user side without causing power waste or insufficient power of the shared energy storage power station.
[0076] 2. The comprehensive evaluation index of the power plan is related to the actual needs of the power supply side, power grid side, and user side. Therefore, using these indexes as the optimization iteration conditions can achieve the purpose of synergistic efficiency, prevent a certain party participating in the operation of the shared energy storage power station from monopolizing the benefits, and also prevent the situation that the shared energy storage power station does not consider the benefits of the participants in order to maximize its own profits.
[0077] 3. In the net profit function of the shared energy storage power station, whether it is the profit or the investment cost of the shared energy storage power station, they are all linked to the parameters of the shared energy storage power station, especially the rated installed power. This makes the technical solution of the present invention highly applicable and can be used to plan the construction plan of the shared energy storage power station under different application scenarios. Description of the Drawings
[0078] Figure 1 This is the system block diagram of the present invention.
[0079] Figure 2 This is the revenue relationship diagram of each participant in the shared energy storage power station of the present invention.
[0080] Figure 3 This is the configuration flow chart of the shared energy storage power station of the present invention. Detailed Embodiments
[0081] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present application clearer, the following further details the present application in conjunction with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0082] Embodiment 1
[0083] Refer to Figure 1 , a rated installed power calculation system for a shared energy storage power station, including:
[0084] A shared energy storage power station life calculation module, configured to calculate the service life of the shared energy storage power station according to the unit charge-discharge times and the rated total charge-discharge cycles of the shared energy storage power station;
[0085] A net profit objective function establishment module, configured to calculate the profit of the shared energy storage power station according to the ways of using the shared energy storage power station by the power grid, power plants, and users and the rated installed power of the shared energy storage power station, calculate the investment cost of the shared energy storage power station according to the rated installed power of the shared energy storage power station, and establish a net profit objective function for the shared energy storage power station according to the profit and investment cost of the shared energy storage power station within the service life of the shared energy storage power station;
[0086] A shared energy storage power station rated installed power calculation module, configured to perform simulation analysis on the net profit objective function of the shared energy storage power station with the service life of the shared energy storage power station as a limiting condition and the preset comprehensive evaluation index of the power plan of the shared energy storage power station as an optimization iteration condition, and obtain the optimal value of the rated installed power of the shared energy storage power station.
[0087] (1) In the shared energy storage power station life calculation module, the calculation formula for calculating the service life of the shared energy storage power station according to the unit charge-discharge times and the rated total charge-discharge cycles of the shared energy storage power station is as follows:
[0088]
[0089] Wherein, T is the service life of the shared energy storage power station, and N c is the rated total number of cycles of the shared energy storage power station, and T d is the annual operating days of the shared energy storage power station, and T t is the daily charge and discharge times of the shared energy storage power station.
[0090] Actually, the rated total number of cycles N c of the shared energy storage power station is related to the depth of battery discharge, and it should correspond to the information and usage of the specific battery signal adopted in specific applications.
[0091] Table 1 Corresponding relationship between discharge depth and number of cycles of a certain energy storage battery
[0092]
[0093]
[0094] (2) In the net profit objective function establishment module, the specific method for calculating the profit of the shared energy storage power station according to the usage methods of the power grid, power plant, and user for the shared energy storage power station and the installed rated power of the shared energy storage power station is as follows:
[0095] The profit channels of the shared energy storage power station obtained according to the usage methods of the power grid, power plant, and user for the shared energy storage power station include peak-valley arbitrage profit R 1 , peak regulation compensation profit R 2 , annual leasing profit R 3 , profit R for improving the power supply reliability of the power grid 4 , profit R for reducing the coal consumption of conventional power plants 5 , annual peak regulation service profit R 6 , and the specific calculation formulas are as follows:
[0096] Calculation formula for peak-valley arbitrage profit R 1 :
[0097]
[0098] Wherein, is the annual peak shaving and valley filling power of the shared energy storage power station, e h and are the peak load electricity prices, e l is the valley load electricity price;
[0099] Calculation formula for peak regulation compensation profit R 2 :
[0100]
[0101] In the formula, is the annual power of the shared energy storage power station participating in peak shaving, e f is the compensation standard electricity price for participating in peak shaving ancillary services;
[0102] Annual profit from leasing R 3 Calculation formula:
[0103]
[0104] In the formula, is the annual power of the shared energy storage power station leasing to new energy power plants, e ren is the unit electricity price for leasing of new energy power plants;
[0105] Annual profit from improving power grid power supply reliability R 4 Calculation formula:
[0106]
[0107] In the formula, is the annual power of the shared energy storage power station used as a standby power source, k CAIF is the average annual power outage rate of the power grid, R IEA is the power grid user power outage loss measurement coefficient, power grid user power outage loss measurement coefficient R IEA is valued according to the GDP output value per unit electricity in the region;
[0108] Annual profit from reducing the coal consumption of conventional power plants R 5 Calculation formula:
[0109]
[0110] In the formula, is the annual discharge of the shared energy storage power station, Δd coal is the reduction of coal consumption of conventional power plants per unit electricity, p coal is the standard coal price, η l is the line loss of the shared energy storage power station, η es is the conversion efficiency of the shared energy storage power station, shared energy storage power station conversion efficiency η es is the ratio of the discharge to the charge of the shared energy storage power station, η d is the charge-discharge depth of the shared energy storage power station, d es is the annual attenuation rate of the charge-discharge depth, Q is the installed capacity of the charge-discharge depth;
[0111] Annual profit from peak shaving services R 6 Calculation formula:
[0112] R 6 = e AGC kD
[0113] Wherein, e AGC is the AGC frequency modulation mileage price, k is the regulation performance index, and D is the annual frequency modulation mileage of the regulation performance index;
[0114] Calculation formula for the annual frequency modulation mileage D of the regulation performance index:
[0115] D = N AGC βηαP 0
[0116] Wherein, N AGC is the annual AGC frequency modulation response times of the shared energy storage power station, η is the grid energy efficiency, α is the effective AGC frequency modulation response coefficient of the shared energy storage power station. The effective AGC frequency modulation response coefficient α of the shared energy storage power station is related to the frequency modulation type participated by the shared energy storage power station and the proportion of the power station participating in the dispatching (α ≤ 1, and it should be determined according to the actual operation statistical data of the energy storage power station. Ideally, it should approach 1), and β is the AGC frequency modulation output coefficient (β should be determined according to the actual operation statistical data of the energy storage frequency modulation power station. For the energy storage frequency modulation system, the closer β is to 1, the higher the system utilization rate);
[0117] The AGC frequency modulation output coefficient β is the ratio of the actual frequency modulation power in the effective response of the energy storage power station to the rated power of the power station:
[0118]
[0119] Wherein, P k is the actual frequency modulation power in the effective AGC frequency modulation participated by the shared energy storage power station at time k, and P is the installed rated power of the shared energy storage power station;
[0120] Annual frequency modulation response times N of the shared energy storage power station AGC Calculation formula:
[0121]
[0122] Wherein, ψ is the annual capacity operation ratio of the shared energy storage power station, T d is the annual operation days of the shared energy storage power station, T t is the daily charge and discharge times of the shared energy storage power station, t eff is the duration of the effective frequency modulation response of the shared energy storage power station, t int is the interval time of the effective frequency modulation response of the shared energy storage power station. The value of t eff is related to the application scenario. For AGC auxiliary frequency modulation, it is generally 0.5 - 3 min, and the reference value is 1.8 min; the value of t int is generally between dozens of seconds and several minutes, and the reference value is 2 min.
[0123] This profit calculation method first takes the power supply side, the power grid side, and the user side as the participants in the operation of the energy storage power station, enabling complementary synergy between the power supply side (conventional units + new energy). For conventional units, energy storage provides frequency regulation (AGC) and peak shaving services, reducing the start-stop losses of the units and extending the equipment life. For new energy units, energy storage levels out the output fluctuations, reduces the curtailment rate, and enhances the green power consumption capacity. The "new energy + energy storage" bundling model can be adopted to benefit from reducing curtailment sharing or green power premium sharing. When the wind and light output is at a low ebb, energy storage releases the peak shaving capacity of conventional units, forming a "thermal - energy storage - new" joint optimal dispatching to improve the overall power supply side revenue and achieve synergy. For the power grid side, energy storage discharges during peak loads, alleviating transmission and distribution congestion and reducing the power grid expansion demand. For the user side, the price difference is utilized to charge during valleys and discharge during peaks to directly obtain price difference benefits. The relationships among these participants in the operation of the energy storage power station can refer to Figure 2 , and the revenue from the user side needs to be collected on behalf of the power grid side and then shared between the investor and the power grid side in proportion; based on the concept of shared energy storage, the energy storage power station can improve the power grid's consumption capacity for new energy power generation, reduce the curtailment of wind and solar power, and the new energy side shares the increased revenue from the grid-connected power with the investor; the frequency regulation revenue of the energy storage power station comes from the conventional units with poor frequency regulation performance, and the power generation coal consumption revenue comes from the conventional units that require energy storage to increase their output to the economic range. The energy storage system invested by a third party can jointly provide services for new energy power stations, conventional units, the power grid, and various types of users within a certain regional scope, achieving a win-win situation for multiple stakeholders.
[0124] And when calculating the revenue, the parameters of the energy storage power station are considered. That is to say, when calculating the revenue, on the premise of considering the usage scenarios of the power supply side, the power grid side, and the user side, the parameters of the energy storage power station are introduced. This enables, when establishing the net profit objective function of the energy storage power station, to solve for appropriate parameters that can simultaneously meet the usage requirements of the power supply side, the power grid side, and the user side, achieving the purpose of synergy.
[0125] (3) In the net profit objective function establishment module, the specific method for calculating the investment cost of the shared energy storage power station based on the installed rated power of the shared energy storage power station is as follows:
[0126] The investment cost of the shared energy storage power station includes the initial investment cost C inv , the operation and maintenance cost C OM , and the land cost C t ;
[0127] The calculation formula for the initial investment cost C inv of the shared energy storage power station is as follows:
[0128]
[0129] Wherein, Q is the installed capacity of the shared energy storage power station, P is the rated installed power of the shared energy storage power station, C Q is the unit capacity cost of the shared energy storage power station, C P is the unit power cost of the shared energy storage power station, and r is the discount rate;
[0130] The operation and maintenance cost C OM of the shared energy storage power station is calculated as follows:
[0131] C OM = β es C inv
[0132] Wherein, β es is the annual operation and maintenance coefficient of the shared energy storage power station;
[0133] The land cost C t of the shared energy storage power station is calculated as follows:
[0134] C t = Pw p C Pt
[0135] Wherein, w p is the land area occupied by the unit installed rated power, and C Pt is the land purchase cost per unit area.
[0136] Whether it is the initial investment cost C inv , the operation and maintenance cost C OM , or the land cost C t is related to the rated installed power P of the shared energy storage power station. Therefore, considering the rated installed power P can control the investment cost of the shared energy storage power station.
[0137] (4) In the net profit target function establishment module, according to the profit and investment cost of the shared energy storage power station within the service life range of the shared energy storage power station, a net profit target function of the shared energy storage power station is established. The formula of the net profit target function of the shared energy storage power station is as follows:
[0138] f = (k s1 (R 1 + R 4 ) + R 2 + k s2 R 3 + R 5 + R 6 )T - (C inv + C OM + C t )
[0139] Wherein, f is the net profit target function, k s1k is the profit distribution ratio between the investor and the grid side of the shared energy storage power station s2 T is the profit distribution ratio between the investor and the lessee of the shared energy storage power station, and T is the service life of the shared energy storage power station, C inv C is the initial investment cost of the shared energy storage power station, C OM C is the operation and maintenance cost of the shared energy storage power station, C t C is the land cost of the shared energy storage power station
[0140] Substitute the cost formula related to the installed rated power P into the net profit function, and combine the profits determined by the usage scenarios on the power source side, grid side, and user side to calculate the appropriate installed rated power P. Specifically, by maximizing the net profit of the shared energy storage power station, it can meet the usage requirements of the power source side, grid side, and user side without causing power waste or insufficient power of the shared energy storage power station
[0141] (5) The preset comprehensive evaluation index for power planning specifically includes the economic benefit dimension, reliable benefit dimension, energy benefit dimension, environmental benefit dimension, and market benefit dimension. The economic benefit dimension includes the net unit capacity revenue index and the cost profit rate index. The reliable benefit dimension includes the safety level of components and the control level of fire or explosion risks. The energy benefit dimension includes the wind power curtailment reduction rate index and the photovoltaic power curtailment reduction rate index. The environmental benefit dimension includes the carbon dioxide emission reduction index. The market benefit dimension includes the market activity index of demand merchants and the equivalent utilization rate index of shared energy storage
[0142] These indicators are related to the actual needs of the power source side, grid side, and user side. Therefore, using these indicators as the optimization iteration conditions can achieve the purpose of synergistic efficiency improvement. For example, improving the reliable benefits of the grid can also enhance the economic benefits of the grid, power plants, and users. The wind power curtailment reduction rate and the photovoltaic power curtailment reduction rate of new energy power plants need to reach certain standards, and the use of shared energy storage power stations can also reduce carbon dioxide emissions to a certain extent
[0143] (6) In the installed rated power calculation module of the shared energy storage power station, with the service life of the shared energy storage power station as the limiting condition and the preset comprehensive evaluation index for power planning of the shared energy storage power station as the optimization iteration condition, the specific method for simulating and analyzing the net profit objective function of the shared energy storage power station to obtain the optimal value of the installed rated power of the shared energy storage power station is as follows
[0144] The simulation analysis is the particle swarm optimization algorithm. First, the positions and velocities of the particle swarm are randomly initialized. The particle is defined as the installed rated power P of the shared energy storage power station. The fitness value of each particle is calculated according to the net profit objective function f. The fitness value of each particle is compared with its individual historical best value, and the individual historical best position and fitness value are updated. The individual historical best fitness values of all particles are compared to find the global historical best position and fitness value;
[0145] Then, the new velocity of each particle is calculated according to the velocity update formula, the new position of each particle is calculated according to the position update formula, the fitness value of each particle at the new position is calculated according to the net profit objective function f, the new fitness value of each particle is compared with its individual historical best value, the individual historical best position and fitness value are updated, and the new individual historical best fitness values of all particles are compared with the global historical best value, and the global historical best position and fitness value are updated;
[0146] If the fitness value reaches the threshold, the iteration stops; otherwise, the iteration continues;
[0147] The global historical best position is output as the solution of the objective function. The global historical best position is defined as the optimal value of the installed rated power P of the shared energy storage power station;
[0148] The velocity update formula is as follows:
[0149] v(i)(t + 1) = v(i)(t)·w + c 1 ·r 1 (pbest(i) - x(i)(t)) + c 2 ·r 2 (gbest - x(i)(t))
[0150] In the formula, v(i)(t + 1) is the velocity of the i-th particle at time t + 1, v(i)(t) is the velocity of the i-th particle at time t, w is the inertia weight factor, and the inertia weight factor w is used to control the influence degree of the current velocity of the particle on the velocity at the next moment, c 1 and c 2 are the first acceleration constant and the second acceleration constant respectively. The first acceleration constant c 1 and the second acceleration constant c 2 represent the weights of the particle learning from the individual historical best position and the global historical best position respectively. r 1 and r 2 are the first random number and the second random number between [0, 1] respectively. r 1 and r 2To increase the randomness and diversity of the search, pbest(i) represents the individual historical optimal position of the i-th particle, x(i)(t) represents the position of the i-th particle at time t, and gbest represents the global historical optimal position;
[0151] The position update formula is as follows:
[0152] x(i)(t + 1) = x(i)(t) + v(i)(t + 1)
[0153] In the formula, x(i)(t) represents the position of the i-th particle at time t + 1.
[0154] The particle swarm algorithm has high solution efficiency, strong global optimization ability, fast convergence speed, relatively few parameter adjustments, and can also be combined with other neural network algorithms, and its solution results are relatively accurate.
[0155] Combined with the specific case of a shared energy storage power station in a certain place, according to the net profit function of the shared energy storage power station proposed by the present invention, through simulation analysis, the obtained results show that: the annual net profit of the shared energy storage increases with the increase of the installed rated power, the net profit per unit capacity decreases with the increase of the installed rated power, and the economic benefit decreases with the increase of the installed rated power. Because the needs of all parties need to be considered and not only the annual net profit of the shared energy storage can be considered, the value of the installed rated power obtained through the power planning comprehensive evaluation index as the iterative optimization condition can achieve the purpose of synergistic efficiency increase, maximize the interests of all parties, and the hardware capabilities of the energy storage power station will not be wasted or insufficient. The configuration planning process of the shared energy storage power station can be referred to Figure 3 .
[0156] Embodiment 2
[0157] A method for calculating the installed rated power of a shared energy storage power station includes the following steps:
[0158] Calculate the service life of the shared energy storage power station according to the unit charge-discharge times and the rated total charge-discharge cycles of the shared energy storage power station;
[0159] Calculate the profit of the shared energy storage power station according to the ways of using the shared energy storage power station by the power grid, power plants, and users and the installed rated power of the shared energy storage power station, calculate the investment cost of the shared energy storage power station according to the installed rated power of the shared energy storage power station, and establish a net profit target function of the shared energy storage power station based on the profit and investment cost of the shared energy storage power station within the service life of the shared energy storage power station;
[0160] Taking the service life of the shared energy storage power station as a limiting condition and the preset power planning comprehensive evaluation index of the shared energy storage power station as the optimization iteration condition, perform simulation analysis on the net profit target function of the shared energy storage power station to obtain the optimal value of the installed rated power of the shared energy storage power station.
[0161] Example 3
[0162] A computer-readable medium has a computer program stored thereon, and the computer program, when running, executes the method for calculating the installed rated power of the shared energy storage power station in Example 2.
[0163] Example 4
[0164] A computer program product includes a computer program / instructions, and when the computer program / instructions are executed by a processor, the method for calculating the installed rated power of the shared energy storage power station in Example 2 is implemented.
[0165] The content not described in detail in this specification belongs to the prior art well-known to those skilled in the art. Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of an all-hardware embodiment, an all-software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention 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.
[0166] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of the processes and / or blocks in the flowchart and / or block diagram can also 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 means for implementing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.
[0167] 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, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.
[0168] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable apparatus to generate a computer-implemented process, thereby the instructions executed on the computer or other programmable apparatus provide steps for realizing the functions specified in one process or multiple processes and / or one block or multiple blocks. Figure 1 one process or multiple processes and / or Figure 1 steps for realizing the functions specified in one block or multiple blocks.
[0169] 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 the scope of its protection. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that after reading the present invention, various changes, modifications or equivalent replacements can still be made to the specific embodiments of the invention, but these changes, modifications or equivalent replacements are all within the scope of the claims of the invention pending approval.
Claims
1. A system for calculating the installed rated power of a shared energy storage power station, characterized in that: include: A shared energy storage power station life calculation module is used to calculate the service life of the shared energy storage power station based on the unit charge and discharge times and the rated total charge and discharge cycle times of the shared energy storage power station; A net profit objective function establishment module is used to calculate the profit of a shared energy storage power station according to the way the shared energy storage power station is used by the power grid, power plants, and users and the installed rated power of the shared energy storage power station, calculate the investment cost of the shared energy storage power station according to the installed rated power of the shared energy storage power station, and establish a net profit objective function of the shared energy storage power station according to the profit and investment cost of the shared energy storage power station within the service life of the shared energy storage power station; The shared energy storage power station installed rated power calculation module is used to simulate and analyze the net profit objective function of the shared energy storage power station with the service life of the shared energy storage power station as the restriction condition and the preset power planning comprehensive evaluation index of the shared energy storage power station as the optimization iteration condition, so as to obtain the optimal value of the installed rated power of the shared energy storage power station.
2. The installed rated power calculation system of the shared energy storage power station according to claim 1, characterized in that: In the shared energy storage power station life calculation module, the calculation formula for calculating the service life of the shared energy storage power station based on the unit charge and discharge times and the rated total charge and discharge cycle times of the shared energy storage power station is as follows: Where T is the service life of the shared energy storage power station, N c is the total rated cycle number of the shared energy storage power station, T d is the annual operating days of the shared energy storage power station, T t It is the daily charging and discharging times of the shared energy storage power station.
3. The installed rated power calculation system of the shared energy storage power station according to claim 2, characterized in that: In the net profit objective function establishment module, the specific method for calculating the profit of the shared energy storage power station according to the way the power grid, power plant, and users use the shared energy storage power station and the installed rated power of the shared energy storage power station is: According to the way the power grid, power plants and users use the shared energy storage power station, the profit channels of the shared energy storage power station include peak-valley arbitrage profit R1, peak-shaving compensation profit R2, annual average rental profit R3, profit from improving the reliability of power grid power supply R4, profit from reducing coal consumption of conventional power plants R5, and annual average profit from peak-shaving services R6. The specific calculation formula is as follows: The calculation formula of peak-to-valley arbitrage profit R1 is: In the formula, The annual average peak load reduction and valley filling capacity of the shared energy storage power station, e h and is the peak load electricity price, e l The electricity price is the peak load price; The calculation formula of peak load compensation profit R2 is: In the formula, is the average annual peak load of the shared energy storage power station, e f The standard electricity price for compensation for participating in peak load ancillary services; The calculation formula for the average annual rental profit R3 is: In the formula, The average annual amount of electricity leased by the shared energy storage power station for new energy power plants, e ren The unit electricity price for leasing new energy power plants; The calculation formula for improving the reliability of power supply of the power grid and profit R4 is: In the formula, is the average annual amount of electricity used for backup power by the shared energy storage power station, k CAIF is the average annual power outage rate of the power grid, R IEA is the power outage loss measurement coefficient for power grid users, and the power outage loss measurement coefficient R IEA The value is determined based on the GDP output per unit of electricity in the region; The calculation formula for reducing the coal consumption of conventional power plants to generate profits R5 is: In the formula, is the annual discharge of the shared energy storage power station, Δd coal To reduce the coal consumption of conventional power plants per unit of electricity, p coal is the standard coal price, η l is the line loss of the shared energy storage power station, η es is the conversion efficiency of the shared energy storage power station, and the conversion efficiency of the shared energy storage power station η es is the ratio of the discharge to charge of the shared energy storage power station, η d is the charge and discharge depth of the shared energy storage power station, d es is the annual attenuation rate of charge and discharge depth, Q is the installed capacity of charge and discharge depth; The calculation formula for the average annual profit R6 of peak load shaving service is: R6=e AGC kD In the formula, e AGC is the AGC frequency regulation mileage price, k is the regulation performance index, and D is the annual frequency regulation mileage of the regulation performance index; The calculation formula of the regulation performance index annual frequency regulation mileage D is: D=N AGC bbP0 Where N AGC is the annual AGC frequency response times of the shared energy storage power station, η is the energy efficiency of the power grid, α is the effective AGC frequency response coefficient of the shared energy storage power station, the effective AGC frequency response coefficient α of the shared energy storage power station is related to the frequency regulation type participated by the shared energy storage power station and the proportion of the power station participating in the dispatch, β is the AGC frequency output coefficient; The AGC frequency modulation output coefficient β is the ratio of the actual frequency modulation power to the rated power of the power station when the energy storage power station participates in the effective response: Where P k is the frequency modulation power actually responded to by the shared energy storage power station when participating in the effective AGC frequency modulation at time k, and P is the installed rated power of the shared energy storage power station; Annual frequency regulation response times of shared energy storage power station N AGC The calculation formula is: Where ψ is the annual capacity operation ratio of the shared energy storage power station, T d is the annual operating days of the shared energy storage power station, T t is the daily charge and discharge times of the shared energy storage power station, t eff is the duration of effective frequency regulation response of the shared energy storage power station, t int It is the interval time for the shared energy storage power station to respond effectively to frequency regulation.
4. The installed rated power calculation system of the shared energy storage power station according to claim 3, characterized in that: In the net profit objective function establishment module, the specific method for calculating the investment cost of the shared energy storage power station according to the installed rated power of the shared energy storage power station is: The investment cost of the shared energy storage power station includes the initial investment cost C inv , Operation and maintenance cost C OM 、Land cost C t ; Initial investment cost of shared energy storage power station C inv The calculation formula is as follows: In the formula, Q is the installed capacity of the shared energy storage power station, P is the installed rated power of the shared energy storage power station, and C Q is the unit capacity cost of the shared energy storage power station, C P is the unit power cost of the shared energy storage power station, r is the discount rate; Operation and maintenance cost of shared energy storage power station C OM The calculation formula is as follows: C OM =b es C inv In the formula, β es is the annual operation and maintenance coefficient of the shared energy storage power station; Land cost of shared energy storage power station C t The calculation formula is as follows: C t =Pw p C Pt In the formula, w p is the land area occupied by the unit rated power, C Pt The land purchase cost per unit area.
5. The installed rated power calculation system of the shared energy storage power station according to claim 4, characterized in that: In the net profit objective function establishment module, a net profit objective function of a shared energy storage power station is established based on the profit and investment cost of the shared energy storage power station within the service life of the shared energy storage power station. The formula of the net profit objective function of the shared energy storage power station is as follows: f=(k s1 (R1+R4)+R2+k s2 R3+R5+R6)T-(C inv +C OM +C t ) Where f is the net profit objective function, k s1 is the profit sharing ratio between the investor and the grid owner of the shared energy storage power station, k s2 is the profit distribution ratio between the investor and the lessee of the shared energy storage power station, T is the service life of the shared energy storage power station, C inv is the initial investment cost of the shared energy storage power station, C OM is the operation and maintenance cost of the shared energy storage power station, C t The land cost for the shared energy storage power station.
6. The installed rated power calculation system of the shared energy storage power station according to claim 5, characterized in that: In the power planning comprehensive evaluation index establishment module, the power planning comprehensive evaluation index specifically includes economic benefit dimension, reliability benefit dimension, energy benefit dimension, environmental benefit dimension and market benefit dimension. The economic benefit dimension includes a net unit capacity benefit indicator and a cost profit margin indicator. The reliability benefit dimension includes the safety degree of components and the degree of fire or explosion risk control. The energy benefit dimension includes an abandoned wind power reduction rate indicator and an abandoned photovoltaic power reduction rate indicator. The environmental benefit dimension includes a carbon dioxide emission reduction indicator. The market benefit dimension includes a demander market activity indicator and a shared energy storage equivalent utilization rate indicator.
7. The installed rated power calculation system of the shared energy storage power station according to claim 6, characterized in that: In the shared energy storage power station installed rated power calculation module, the service life of the shared energy storage power station is used as a restriction condition, and the preset power planning comprehensive evaluation index of the shared energy storage power station is used as an optimization iteration condition. The net profit objective function of the shared energy storage power station is simulated and analyzed, and the specific method for obtaining the optimal value of the installed rated power of the shared energy storage power station is as follows: The simulation analysis is a particle swarm algorithm. First, the position and speed of the particle swarm are randomly initialized. The particle is defined as the installed rated power P of the shared energy storage power station. The fitness value of each particle is calculated according to the net profit objective function f. The fitness value of each particle is compared with its individual historical optimal value, and the individual historical optimal position and fitness value are updated. The individual historical optimal fitness values of all particles are compared to find the global historical optimal position and fitness value. Then, the new speed of each particle is calculated according to the speed update formula, the new position of each particle is calculated according to the position update formula, the fitness value of each particle at the new position is calculated according to the net profit objective function f, the new fitness value of each particle is compared with its individual historical optimal value, the individual historical optimal position and fitness value are updated, the new individual historical optimal fitness values of all particles are compared with the global historical optimal value, and the global historical optimal position and fitness value are updated; If the fitness value reaches the threshold, the iteration is stopped, otherwise it continues; Outputting a global historical optimal position as a solution to the objective function, wherein the global historical optimal position is defined as an optimal value of the installed rated power P of the shared energy storage power station; The speed update formula is as follows: v(i)(t+1)=v(i)(t)·w+c1·r1(pbest(i)-x(i)(t))+c2·r2(gbest-x(i)(t)) Wherein, v(i)(t+1) is the velocity of the ith particle at time t+1, v(i)(t) is the velocity of the ith particle at time t, w is the inertia weight factor, and the inertia weight factor w is used to control the influence of the current velocity of the particle on the velocity at the next moment, c1 and c2 are the first acceleration constant and the second acceleration constant, respectively, and the first acceleration constant c1 and the second acceleration constant c2 represent the weights of the particle learning from the individual historical optimal position and the global historical optimal position, respectively, r1 and r2 are the first random number and the second random number between [0,1], respectively, and r1 and r2 are used to increase the randomness and diversity of the search, pbest(i) represents the individual historical optimal position of the ith particle, x(i)(t) represents the position of the ith particle at time t, and gbest represents the global historical optimal position; The position update formula is as follows: x(i)(t+1)=x(i)(t)+v(i)(t+1) Where x(i)(t) represents the position of the i-th particle at time t+1.
8. A method for calculating the installed rated power of a shared energy storage power station, characterized in that: The following steps are involved: The service life of the shared energy storage power station is calculated based on the unit charge and discharge times and the total rated charge and discharge cycles of the shared energy storage power station; The profit of the shared energy storage power station is calculated based on the way the power grid, power plants and users use the shared energy storage power station and the installed rated power of the shared energy storage power station. The investment cost of the shared energy storage power station is calculated based on the installed rated power of the shared energy storage power station. Within the service life of the shared energy storage power station, the net profit objective function of the shared energy storage power station is established based on the profit and investment cost of the shared energy storage power station. Taking the service life of the shared energy storage power station as the constraint condition and the preset comprehensive evaluation index of the power planning of the shared energy storage power station as the optimization iteration condition, the net profit objective function of the shared energy storage power station is simulated and analyzed to obtain the optimal value of the installed rated power of the shared energy storage power station.
9. A computer-readable medium having a computer program / instruction stored thereon, wherein the computer program / instruction, when run, executes the method for calculating the installed rated power of a shared energy storage power station as claimed in claim 7.
10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by the processor, the method for calculating the installed rated power of the shared energy storage power station described in claim 7 is implemented.