Energy storage capacity configuration method of wind and light power generation system

Abstract

The invention discloses an energy storage capacity configuration method for a wind and light power generation system, and relates to the technical field of energy storage capacity optimization planning, and the method comprises the following steps: obtaining the average wind power and photovoltaic output data of an optimized region, and calculating the target output power of the wind and light power generation system; based on the target output power and the actual output power of the wind and light storage power generation system, calculating the energy storage capacity required to be configured by the wind and light storage power generation system; establishing a minimum cost objective function model of the wind-solar-energy-storage combined power generation system and setting an index constraint condition of output of the wind-solar-energy-storage combined power generation system; and obtaining an optimal energy storage capacity scheme of the wind-solar-energy-storage combined power generation system based on the minimum cost objective function model of the wind-solar-energy-storage combined power generation system and the output index constraint condition of the wind-solar-energy-storage combined power generation system, thereby solving the problem that a traditional energy storage capacity configuration method cannot configure more accurate energy storage capacity to better meet the requirements of the system. And the energy storage capacity optimization planning of the wind and light power generation system is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage capacity optimization planning, and more specifically, to an energy storage capacity configuration method for a wind-solar power generation system. Background Art

[0002] With the strong support of the national energy strategic policy and the continuous development of distributed grid-connected technology, wind power and photovoltaic power, as important components of new energy, are continuing to expand their installed capacity.

[0003] As the scale of distributed wind power and photovoltaic power installations continues to expand, the problem of energy consumption has become increasingly prominent. The inverse distribution of loads and wind power and photovoltaic energy has led to a low level of distributed wind power and photovoltaic energy consumption. At present, most regions have insufficient wind power and photovoltaic energy consumption.

[0004] At present, the energy storage capacity configuration of distributed wind power and photovoltaic power stations usually adopts the traditional method, which sets the energy storage capacity between 10% and 20% of the total installed capacity. However, this configuration method lacks clear basis and specific numerical standards. In view of the large load fluctuations faced by distributed wind power and photovoltaic power stations, as well as the relatively low economic benefits of their operation, the traditional energy storage capacity configuration method often fails to achieve the expected energy storage effect.

[0005] In view of the above problems, the present invention proposes a solution. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method for configuring the energy storage capacity of a wind-solar power generation system. Through a method for configuring the energy storage capacity of a wind-solar power generation system, the problem that the traditional energy storage capacity configuration method cannot configure a more accurate energy storage capacity to better meet the needs of the system is solved, thereby ensuring that the distributed wind power and photovoltaic power station can achieve the expected operating results in terms of economy and technology.

[0007] To achieve the above object, the present invention provides the following technical solutions: A method for configuring the energy storage capacity of a wind-solar-storage power generation system, characterized in that it includes the following steps: obtaining average wind and photovoltaic output data in an optimization area and calculating a target output power of the wind-solar-storage power generation system; calculating the energy storage capacity that needs to be configured for the wind-solar-storage power generation system based on the target output power and the actual output power of the wind-solar-storage power generation system; establishing a minimum cost objective function model for a wind-solar-storage combined power generation system and setting index constraints on the output of the wind-solar-storage combined power generation system; and obtaining an optimal energy storage capacity solution for the wind-solar-storage combined power generation system based on the minimum cost objective function model for the wind-solar-storage combined power generation system and the index constraints on the output of the wind-solar-storage combined power generation system.

[0008] In a preferred embodiment, the acquisition of average wind and photovoltaic output data of the optimization area and calculation of the target output power of the wind, photovoltaic and storage power generation system are specifically: calculating the wind and photovoltaic comprehensive output power based on the average wind and photovoltaic output data of the optimization area; calculating the target output power of the wind, photovoltaic and storage power generation system based on the wind and photovoltaic comprehensive output power.

[0009] In a preferred embodiment, the energy storage capacity that needs to be configured for the wind-solar-storage power generation system is calculated based on the target output power and the actual output power of the wind-solar-storage power generation system, specifically: setting the upper and lower limits of the charge state of the energy storage device of the wind-solar-storage power generation system; based on the upper and lower limits of the charge state of the energy storage device of the wind-solar-storage power generation system, inputting the target output power and the actual output power of the wind-solar-storage power generation system into a preset energy storage capacity calculation formula to obtain the energy storage capacity that needs to be configured for the wind-solar-storage power generation system.

[0010] In a preferred embodiment, the establishment of the minimum cost objective function model of the wind, solar, and energy storage power generation system is specifically: calculating the annualized initial investment cost and annualized maintenance cost of the wind, solar, and energy storage power generation system energy storage device respectively; based on the annualized initial investment cost and annualized maintenance cost of the wind, solar, and energy storage power generation system energy storage device, constructing the minimum cost objective function model of the wind, solar, and energy storage power generation system.

[0011] In a preferred embodiment, the setting of the index constraint conditions for the output of the wind-solar-storage combined power generation system is specifically as follows: based on the target output power of the wind-solar-storage power generation system, the wind-solar total output index formula is used to calculate the wind-solar total output index of the wind-solar-storage power generation system after the energy storage is configured, and the wind-solar total output index of the wind-solar-storage power generation system after the energy storage is configured includes the active power deviation, the sum of the peak-valley slopes and the output power fluctuation rate; based on the wind-solar total output index of the wind-solar-storage power generation system after the energy storage is configured, the index constraint conditions for the output of the wind-solar-storage combined power generation system are set.

[0012] In a preferred embodiment, the optimal energy storage capacity plan of the wind-solar-storage combined power generation system is obtained based on the minimum cost objective function model of the wind-solar-storage combined power generation system and the index constraints of the wind-solar-storage combined power generation system output, specifically: the minimized energy storage cost of the wind-solar-storage combined power generation system is obtained based on the minimum cost objective function model of the wind-solar-storage combined power generation system; the wind-solar-storage capacity is matched based on the minimized energy storage cost of the wind-solar-storage combined power generation system and the index constraints of the wind-solar-storage combined power generation system output.

[0013] Technical effects and advantages of a method for configuring energy storage capacity of a wind-solar power generation system of the present invention: 1. The present invention combines energy storage devices with wind and light resources and configures clear energy storage capacity to effectively manage the storage and release process of wind and solar energy, alleviate the contradiction between the intermittent and volatility inherent in wind and photovoltaic power generation and the power system's requirements for real-time balance, reduce the negative impact of renewable energy generation on the power grid, improve the power supply stability and economic efficiency of distributed wind and photovoltaic power stations, and provide a more stable and continuous power supply for the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a structural schematic diagram of a method for configuring energy storage capacity of a wind-solar power generation system according to the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] Embodiment 1, Figure 1 The present invention provides a method for configuring energy storage capacity of a wind-solar power generation system, comprising the following steps: S1, obtaining the average wind and photovoltaic output data of the optimization area and calculating the target output power of the wind-solar-storage power generation system; In this example, the average wind power and photovoltaic power output data of the optimization area are obtained as follows: The average wind data of the optimized area includes wind speed data, air density, power data of wind turbines, etc.; the average photovoltaic output data of the optimized area includes solar radiation data, temperature data, weather data, sunshine time, etc.

[0017] It should be noted that, taking the actual wind and solar output data in Shaoguan as an example, the boundary conditions of the data in this area after processing are as follows: the total installed capacity of wind power and photovoltaic power generation is 100MW; after clustering, the typical daily time segment T is 24 hours, and the compensation period of the energy storage device is The calculation time is 1 hour, and the calculation step length Δt is 5 minutes. The installed capacity of wind power generation is set to 50MW, and the installed capacity of photovoltaic power generation is set to 50MW, that is, the ratio of wind to solar power is 1:1.

[0018] In this example, the acquisition of average wind and photovoltaic output data in the optimization area and calculation of the target output power of the wind-solar-storage power generation system are specifically as follows: Calculate the wind and solar power combined output power based on the average wind and photovoltaic output data of the optimized area; Based on the wind-solar comprehensive output power, the target output power of the wind-solar-storage power generation system is calculated.

[0019] In this example, the wind and solar power combined output power is calculated based on the average wind and photovoltaic output data of the optimization area, specifically: The comprehensive output power of wind and solar power is the sum of wind power generation and photovoltaic power generation at a certain time t.

[0020] In this example, based on the wind-solar comprehensive output power, the target output power of the wind-solar-storage power generation system is calculated, specifically:

[0021] in, is the compensation period of the energy storage device of the wind and solar power generation system. is the combined output power of wind and solar power, The target output power of the wind, solar and storage power generation system.

[0022] It should be noted that in the wind-solar-storage power generation system, the wind-solar combined output power and target output power The difference between them is adjusted by the energy storage system. Greater than target output power When the wind and solar power output is high, the energy storage system will store the excess power to avoid wasting resources. This storage process usually occurs when the wind or photovoltaic power generation is at its peak. The energy storage device (such as a battery) will save the excess energy for use when the demand increases. Less than target output power When the energy storage system replenishes the insufficient power, the system can stably output close to This replenishment process is particularly important when wind and solar power generation is at a low point. The energy storage system plays a regulatory role, providing smooth output power to ensure grid stability. This dynamic regulation mechanism effectively solves the volatility problem of wind and solar power and improves the stability and reliability of renewable energy generation.

[0023] S2, calculating the energy storage capacity that needs to be configured for the wind-solar-storage power generation system based on the target output power and the actual output power of the wind-solar-storage power generation system; In this example, the energy storage capacity that needs to be configured for the wind-solar-storage power generation system is calculated based on the target output power and the actual output power of the wind-solar-storage power generation system, specifically: Set the upper and lower limits of the state of charge of the energy storage device of the wind power generation system; Based on the upper and lower limits of the charge state of the energy storage device of the wind-solar-storage-power generation system, the target output power and the actual output power of the wind-solar-storage-power generation system are input into a preset energy storage capacity calculation formula to obtain the energy storage capacity that needs to be configured for the wind-solar-storage-power generation system.

[0024] In this example, the upper and lower limits of the state of charge of the energy storage device of the wind power generation system are set as follows: The upper limit of the state of charge refers to the maximum percentage of power that the battery can be safely charged to, which is usually set to 90%-100%. In order to extend the battery life and avoid overcharging the battery, a full charge (100% SoC) will accelerate the aging of the battery, so in actual operation, the battery is usually not kept 100% fully charged all the time; when charged to nearly 100%, the battery generates a lot of heat, which is easy to cause the risk of thermal runaway, so in actual operation, the upper limit may be set to 90%-95%.

[0025] The lower limit of the state of charge refers to the lowest percentage of charge that the battery can be safely discharged to, which is usually set at 10%-20%. Deep discharge will have a negative impact on the chemical composition of the battery and reduce the cycle life of the battery. Therefore, in system design, it is very important to avoid discharging the battery to too low a level; discharging to too low a level may cause damage to the battery, especially lithium-ion batteries may fail after excessive discharge and cannot be restored to normal capacity.

[0026] In this example, the preset energy storage capacity calculation formula is specifically:

[0027] in, is the upper limit of the state of charge of the energy storage device in the wind and solar power generation system. is the lower limit of the state of charge of the energy storage device in the wind-solar-storage power generation system. Suppose the wind-solar-storage power generation system operation data segment T contains M time period, then the i-th The energy storage capacity required within the time period, is greater than Part of the output power.

[0028] It should be noted that the M data segments T The capacity of the energy storage device determined in the time period is , ,...,,..., , the formula for the energy storage capacity to be configured during T is as follows:

[0029] For a certain data segment T, The smaller it is, the larger M is and the smaller W is; The larger it is, the smaller M is and the larger W is.

[0030] In addition, in the wind, solar, and storage power generation system, the target output power and the actual output power are input into the preset energy storage capacity calculation formula, and the required energy storage capacity is calculated based on the upper and lower limits of the energy storage device's state of charge, in order to ensure stable and efficient operation of the system. Due to the volatility and unpredictability of wind and photovoltaic power generation, the actual output often cannot fully match the target output power. The energy storage system balances the difference between supply and demand by storing excess electricity during peak power generation and supplementing grid power during low power generation. Therefore, it is crucial to rationally configure energy storage capacity.

[0031] By inputting the target output power and actual output power, the charging and discharging requirements of the energy storage system in different time periods can be accurately calculated to ensure that the grid's requirements for stable power can be met under fluctuations. In addition, based on the constraints of the upper and lower limits of the state of charge, the energy storage system is prevented from overcharging or discharging, maximizing battery life and improving system reliability. This can effectively optimize energy storage configuration, reduce operating costs, and enhance the system's ability to regulate fluctuations in renewable energy generation.

[0032] S3, establishing a minimum cost objective function model for the wind-solar-storage combined power generation system and setting index constraints for the output of the wind-solar-storage combined power generation system; In this example, the minimum cost objective function model of the wind-solar-storage power generation system is established as follows: Calculate the annualized initial investment cost and annualized maintenance cost of the energy storage device of the wind and solar energy storage power generation system respectively; Based on the annualized initial investment cost and annualized maintenance cost of the energy storage device of the wind-solar-energy-storage power generation system, a minimum cost objective function model of the wind-solar-energy-storage power generation system is constructed.

[0033] In this example, based on the annualized initial investment cost and annualized maintenance cost of the energy storage device of the wind-solar-storage power generation system, a minimum cost objective function model of the wind-solar-storage power generation system is constructed, specifically:

[0034] in, is the annualized initial investment cost, is the annual equipment maintenance cost, is the minimum cost objective function of the wind-solar-storage power generation system, and are the investment costs per unit power and per unit capacity of energy storage, and are the maximum power and capacity of the energy storage device, is the benchmark rate of return, is the operating life of the energy storage equipment, is the number of days in a year, and are the discharge power and charging power of the energy storage system in period t, is the energy storage operation and maintenance cost coefficient.

[0035] It should be noted that the minimum cost objective function model of the wind-solar-storage power generation system based on the annualized initial investment cost and annualized maintenance cost of the energy storage device is designed to optimize the economic efficiency of the energy storage system while meeting the stable operation of the system and power demand. The energy storage device in the wind-solar-storage power generation system has high initial investment cost and long-term maintenance costs, and its cost-effectiveness directly affects the overall economic feasibility of the system. Therefore, by constructing the minimum cost objective function, the optimal configuration of the energy storage system can be found while meeting the technical requirements, thereby reducing the total cost.

[0036] The model takes the annualized initial investment cost and annualized maintenance cost as optimization targets, comprehensively considers factors such as energy storage capacity, energy storage system life, depreciation rate and maintenance frequency, and helps decision makers evaluate the economic benefits of different energy storage configurations during the system design phase. This optimization method ensures that the system strikes a balance between technical performance and economic feasibility, reduces the financial burden of long-term operations, and improves the market competitiveness and sustainability of wind, solar and storage power generation systems.

[0037] In this example, the index constraint conditions for setting the output of the wind-solar-storage combined power generation system are specifically: Based on the target output power of the wind-solar-storage power generation system, the wind-solar total output index formula is used to calculate the wind-solar total output index of the wind-solar-storage power generation system after energy storage is configured. The wind-solar total output index of the wind-solar-storage power generation system after energy storage is configured includes active power deviation, peak-valley slope sum and output power fluctuation rate; Based on the total wind-solar output index of the wind-solar-storage power generation system after energy storage is configured, the index constraint conditions for the output of the wind-solar-storage combined power generation system are set.

[0038] In this example, the total wind and solar power output index formula is specifically:

[0039]

[0040] in, It is the total active power of the combined system after energy storage compensation during the compensation period of the energy storage device. It is subtracted when the energy storage system is charging and added when it is discharging. is the energy storage capacity, is the active power deviation rate, n is the compensation period of the energy storage device The number of samples in is the active power change rate of adjacent sampling points, and are the compensation period of the i-th energy storage device The maximum and minimum output power within is the output power fluctuation rate.

[0041] It should be noted that in the wind-solar-storage power generation system, the introduction of energy storage can effectively adjust the volatility of wind-solar power generation and make its output more stable. In order to evaluate the system performance after configuring energy storage, the three indicators of active power deviation, peak-to-valley slope sum and output power fluctuation rate are usually used to measure the stability and output quality of the system, specifically: Active power deviation: Active power deviation refers to the difference between the actual active power output of the system and the target output power. It reflects the degree of matching between the wind, solar, and energy storage power generation system and the planned output power in actual operation. By configuring the energy storage system, this power deviation can be reduced, making the actual output closer to the target output and ensuring the stability of the power supply of the power grid; Peak-to-valley slope sum: The peak-to-valley slope sum is the sum of the rates at which the system output power changes between the peak and valley values, reflecting the rate of change of the system output power. It measures the severity and speed of change of the system power output. The smaller the index, the more stable the system power output and the smaller the volatility. The energy storage system can smooth out the sharp changes in power, reduce the peak-to-valley slope sum, and make the output power more stable. Output power fluctuation rate: Output power fluctuation rate is the fluctuation range of system output power in a certain period of time, which is used to evaluate the stability of power output. It reflects the intensity of power fluctuation in different time periods. The larger the output power fluctuation rate, the more violent the power fluctuation and the worse the stability of the power grid. By configuring an energy storage system, the fluctuation rate can be reduced, making the system output power more stable, which is conducive to the stable operation of the power grid.

[0042] In this example, the output index constraint conditions of the wind-solar-storage combined power generation system are set based on the wind-solar-storage combined power generation system's ... after energy storage is configured, specifically:

[0043] Among them, a, b, and c are the thresholds of active power deviation, peak-to-valley slope sum, and output power fluctuation rate, respectively.

[0044] It should be noted that the output constraint conditions of the wind, solar and storage combined power generation system are set to ensure that the system can meet the grid's requirements for power output stability, reliability and safety in actual operation. Wind and photovoltaic power generation are intermittent and volatile in nature and cannot provide a stable and constant power output. Therefore, energy storage systems are introduced to adjust these fluctuations to make the system output smoother. However, energy storage devices alone cannot smooth fluctuations indefinitely, and effective control must be carried out by setting reasonable output constraint conditions.

[0045] These indicator constraints include active power deviation, the sum of the peak and valley slopes of the output power, and the output power fluctuation rate. The purpose of setting these constraints is to limit the fluctuation range of the system output power, avoid the impact of frequent and drastic power changes on the power grid, and ensure that the power output meets the dispatch requirements of the power grid. This constraint can prompt the system to optimize the energy storage capacity configuration after configuring energy storage, so that the system can strike a balance between economy and stability, thereby improving the overall operating efficiency and reliability of the wind, solar, and storage power generation system. In addition, the constraints can also avoid over-reliance on energy storage devices, rationally plan energy storage capacity, and reduce costs.

[0046] S4, based on the minimum cost objective function model of the wind-solar-storage combined power generation system and the index constraint conditions of the wind-solar-storage combined power generation system output, the optimal energy storage capacity solution of the wind-solar-storage combined power generation system is obtained.

[0047] In this example, based on the minimum cost objective function model of the wind-solar-storage combined power generation system and the index constraint conditions of the wind-solar-storage combined power generation system output, the optimal energy storage capacity solution of the wind-solar-storage combined power generation system is obtained, specifically: Based on the minimum cost objective function model of the wind-solar-storage combined power generation system, the minimized energy storage cost of the wind-solar-storage combined power generation system is obtained; The wind, solar and storage capacity ratio is determined based on the minimum storage cost of the wind, solar and storage combined power generation system and the index constraints of the wind, solar and storage combined power generation system output.

[0048] In this example, the wind-solar-storage capacity ratio is performed based on the minimum energy storage cost of the wind-solar-storage combined power generation system and the index constraint conditions of the wind-solar-storage combined power generation system output, specifically: The capacity matching of wind, solar and storage combined power generation systems based on the constraints of minimizing energy storage costs and output indicators is to ensure that the system achieves the best balance between economy and reliability. With the rapid development of renewable energy, wind and photovoltaic power generation face severe regulation and stability problems due to their intermittent and uncertain nature. By rationally configuring the capacity of the energy storage system, it can not only effectively alleviate the impact of power generation fluctuations, but also reduce dependence on traditional generators, thereby achieving a higher utilization rate of renewable energy. When matching capacity, setting a goal to minimize energy storage costs can help reduce the overall investment and operating costs of the system and ensure maximum economic benefits.

[0049] At the same time, the configuration scheme based on output index constraints can ensure the stability and security of the power system. By controlling the active power deviation, peak-to-valley slope, and output power fluctuation rate, it can ensure that the energy storage system provides effective regulation when supply and demand fluctuate, thereby improving the overall dispatching flexibility and response capabilities of the power grid. This systematic capacity allocation strategy not only promotes the sustainable development of renewable energy, but also enhances the flexibility and resilience of the power system, providing important support for coping with the future energy structure transformation.

[0050] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0051] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0052] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0053] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0054] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0055] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for configuring energy storage capacity of a wind-solar power generation system, characterized in that: The steps include: Obtain the average wind and photovoltaic output data of the optimization area and calculate the target output power of the wind, photovoltaic and storage power generation system; Calculate the energy storage capacity that needs to be configured for the wind-solar-storage power generation system based on the target output power and the actual output power of the wind-solar-storage power generation system; Establish the minimum cost objective function model of the wind-solar-storage combined power generation system and set the index constraint conditions for the output of the wind-solar-storage combined power generation system; Based on the minimum cost objective function model of the wind-solar-storage combined power generation system and the index constraint conditions of the wind-solar-storage combined power generation system output, the optimal energy storage capacity solution of the wind-solar-storage combined power generation system is obtained.

2. The energy storage capacity configuration method of the wind-solar power generation system according to claim 1, characterized in that: The method of obtaining the average wind power and photovoltaic power output data of the optimized area and calculating the target output power of the wind-solar-storage power generation system is specifically as follows: Calculate the wind and solar power combined output power based on the average wind and photovoltaic output data of the optimized area; Based on the wind-solar comprehensive output power, the target output power of the wind-solar-storage power generation system is calculated.

3. The energy storage capacity configuration method of the wind-solar power generation system according to claim 1, characterized in that: The energy storage capacity that needs to be configured for the wind-solar-storage power generation system is calculated based on the target output power and the actual output power of the wind-solar-storage power generation system, specifically: Set the upper and lower limits of the state of charge of the energy storage device of the wind power generation system; Based on the upper and lower limits of the charge state of the energy storage device of the wind-solar-storage-power generation system, the target output power and the actual output power of the wind-solar-storage-power generation system are input into a preset energy storage capacity calculation formula to obtain the energy storage capacity that needs to be configured for the wind-solar-storage-power generation system.

4. The energy storage capacity configuration method of the wind-solar power generation system according to claim 1, characterized in that: The minimum cost objective function model of the wind-solar-storage combined power generation system is established as follows: Calculate the annualized initial investment cost and annualized maintenance cost of the energy storage device of the wind and solar energy storage power generation system respectively; Based on the annualized initial investment cost and annualized maintenance cost of the energy storage device of the wind-solar-energy-storage power generation system, a minimum cost objective function model of the wind-solar-energy-storage power generation system is constructed.

5. The energy storage capacity configuration method of the wind-solar power generation system according to claim 1, characterized in that: The index constraint conditions for setting the output of the wind-solar-storage combined power generation system are specifically: Based on the target output power of the wind-solar-storage power generation system, the wind-solar total output index formula is used to calculate the wind-solar total output index of the wind-solar-storage power generation system after energy storage is configured. The wind-solar total output index of the wind-solar-storage power generation system after energy storage is configured includes active power deviation, peak-valley slope sum and output power fluctuation rate; Based on the total wind-solar output index of the wind-solar-storage power generation system after energy storage is configured, the index constraint conditions for the output of the wind-solar-storage combined power generation system are set.

6. The energy storage capacity configuration method of the wind-solar power generation system according to claim 1, characterized in that: Based on the minimum cost objective function model of the wind-solar-storage combined power generation system and the index constraint conditions of the wind-solar-storage combined power generation system output, the optimal energy storage capacity solution of the wind-solar-storage combined power generation system is obtained, specifically: Based on the minimum cost objective function model of the wind-solar-storage combined power generation system, the minimized energy storage cost of the wind-solar-storage combined power generation system is obtained; The wind, solar and storage capacity ratio is determined based on the minimum storage cost of the wind, solar and storage combined power generation system and the output index constraints of the wind, solar and storage combined power generation system.

7. The energy storage capacity configuration method of the wind-solar power generation system according to claim 2, characterized in that: Based on the wind-solar comprehensive output power, the target output power of the wind-solar-storage power generation system is calculated, specifically: in, is the compensation period of the energy storage device of the wind and solar power generation system. is the combined output power of wind and solar power, The target output power of the wind, solar and storage power generation system.

8. The energy storage capacity configuration method of the wind-solar power generation system according to claim 3, characterized in that: The preset energy storage capacity calculation formula is specifically: in, is the upper limit of the state of charge of the energy storage device in the wind and solar power generation system. is the lower limit of the state of charge of the energy storage device in the wind-solar-storage power generation system. Suppose the wind-solar-storage power generation system operation data segment T contains M Time period, then For the i-th The energy storage capacity required within the time period, is greater than Part of the output power.

9. The energy storage capacity configuration method of the wind-solar power generation system according to claim 4, characterized in that: Based on the annualized initial investment cost and annualized maintenance cost of the energy storage device of the wind-solar-storage power generation system, a minimum cost objective function model of the wind-solar-storage power generation system is constructed, specifically: in, is the annualized initial investment cost, is the annual equipment maintenance cost, is the minimum cost objective function of the wind-solar-storage power generation system, and are the investment costs per unit power and per unit capacity of energy storage, and are the maximum power and capacity of the energy storage device, is the benchmark rate of return, is the operating life of the energy storage equipment, is the number of days in a year, and are the discharge power and charging power of the energy storage system in period t, is the energy storage operation and maintenance cost coefficient.

10. The energy storage capacity configuration method of the wind-solar power generation system according to claim 9, characterized in that: The formula for the total wind and solar output index is specifically: in, It is the total active power of the combined system after energy storage compensation during the compensation period of the energy storage device. It is subtracted when the energy storage system is charging and added when it is discharging. is the energy storage capacity, is the active power deviation rate, n is the compensation period of the energy storage device The number of samples in is the active power change rate of adjacent sampling points, and are the compensation period of the i-th energy storage device The maximum and minimum output power within is the output power fluctuation rate.

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