New energy base wind power plant site selection system based on wind and light storage output complementation

Abstract

The invention relates to the technical field of wind power plant site selection, and discloses a wind power plant site selection system for a new energy base based on wind-solar energy storage and output complementation, which is characterized in that a comprehensive complementation index is calculated by comprehensively considering a generating capacity fluctuation difference and a wind-solar energy complementation proportion index at a candidate site selection position, and a predetermined site selection position is screened according to the comprehensive complementation index; the wind and light resource complementarity and the generating capacity fluctuation can be effectively quantified, so that the scientificity and rationality of the wind power plant site selection of the new energy base are remarkably improved. Furthermore, a target optimization function is constructed based on a wind energy time complementarity index and a stability index, and an optimal solution is solved by using a target optimization algorithm to determine an optimal site selection position, so that the maximization of the operation efficiency of the wind and light storage system is realized. According to the method, the influence of the fluctuation of new energy power generation on the power grid can be remarkably reduced, the overall coordination capability of the wind and light storage system is improved, and meanwhile, a stronger support effect is provided for the power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of wind farm site selection, and particularly to a wind farm site selection system for a new energy base based on the complementary output of wind, light and energy storage. Background Art

[0002] With the global energy structure transforming towards low-carbon, wind energy and solar energy, as important renewable energies, have been continuously increasing their proportion in the power system. However, wind power and photovoltaic power generation are intermittent and volatile, which poses challenges to the stable operation of the power grid. To solve this problem, a wind-light-energy storage complementary system has emerged, which combines wind energy, solar energy and energy storage technology to achieve smooth output of power generation. The energy storage system is a key component of the wind-light-energy storage complementary system, and its functions include: suppressing the volatility of wind and light power generation, providing reserve capacity to meet sudden load demands, and realizing time transfer of energy (such as storing excess photovoltaic power during the day for use at night). Currently, commonly used energy storage technologies include battery energy storage (such as lithium-ion batteries), pumped-storage hydroelectricity, compressed air energy storage, etc. However, the technology of complementary output of wind, light and energy storage can significantly improve the overall power generation efficiency and stability of new energy bases by integrating the synergistic effects of wind energy, solar energy and energy storage systems.

[0003] Traditional wind farm site selection mainly relies on the assessment of wind resources, including key factors such as wind speed, wind direction and topography. Although this method played an important role in the early development of new energy, its limitations have become increasingly prominent, especially in the context of large-scale new energy base construction. On the one hand, when selecting a site, areas with higher wind speed and stable wind direction are usually chosen to maximize power generation. However, this assessment ignores the intermittency and volatility of wind power generation, as well as its potential complementary relationship with solar power generation. On the other hand, the power generation outputs of wind energy and solar energy are naturally complementary in time. For example, solar power output is high during the day when there is sufficient sunlight, while wind power output is high at night when the wind speed is relatively high. If the site selection is only based on wind resources, the opportunity to utilize solar energy may be missed, resulting in a decrease in the overall power generation efficiency. Based on the above technical problems, it is necessary to propose a wind farm site selection system for a new energy base based on the complementary output of wind, light and energy storage. Summary of the Invention

[0004] To solve the above technical problems, the present invention provides a wind farm site selection system for a new energy base based on the complementary output of wind, light and energy storage, including the following modules: Target area data acquisition module: used to acquire target area data, where the target area data includes wind speed and light intensity; Candidate site location screening module: connected to the target area data acquisition module, used to obtain a preset wind speed and a preset light intensity based on the wind speed and light intensity, and determine candidate site locations within the target area; Predetermined site selection location screening module: Connected to the candidate site selection location screening module, it is used to define the wind-solar complementary ratio index and the power generation fluctuation difference, and screen out the predetermined site selection locations from the candidate site selection locations according to the wind-solar complementary ratio index and the power generation fluctuation difference; Optimal site selection location determination module: Connected to the predetermined site selection location screening module, it is used to determine the time complementary index and the stability index, construct an objective optimization function based on the time complementary index and the stability index, solve the optimal solution of the objective optimization function using the objective optimization algorithm, and obtain the optimal site selection location.

[0005] Furthermore, the predetermined site selection location screening module includes the following sub-modules: Wind-solar complementary ratio index acquisition sub-module: It is used to acquire the power generation fluctuation difference of each candidate site selection location, and calculate the wind-solar complementary ratio index of each candidate site selection location according to the power generation fluctuation difference; Comprehensive complementary index construction sub-module: It is used to calculate the comprehensive complementary index according to the power generation fluctuation difference and the wind-solar complementary ratio index, arrange the comprehensive complementary index from high to low, and take the candidate site selection locations corresponding to the top 3 / 5 comprehensive complementary index as the predetermined site selection locations.

[0006] Furthermore, the wind-solar complementary ratio index acquisition sub-module includes the following units: Time series data acquisition unit: It is used to acquire the wind power generation time series data and the solar power generation time series data of each candidate site selection location. Among them, the wind power generation time series data and / or the solar power generation time series data are collected once every hour, and the hour is used as the collection period; Power generation ratio calculation unit: It is used to calculate the power generation ratio of wind power generation and solar power generation in each collection period according to the wind power generation time series data and the solar power generation time series data; Hour ratio calculation unit: It is used to count the ratio of the number of hours corresponding to the power generation ratio greater than 0.4 and less than 0.6 to the total number of hours as the hour ratio; Correlation factor calculation unit: It is used to calculate the correlation factor between wind power generation and solar power generation according to the wind power generation time series data and the solar power generation time series data; Power generation fluctuation difference calculation unit: It is used to calculate the power generation fluctuation difference of each candidate site selection location; Fluctuation factor calculation unit: It is used to calculate the fluctuation factor according to the wind power generation time series data and the solar power generation time series data; Wind-solar complementary ratio index acquisition unit: It is used to calculate the wind-solar complementary ratio index according to the hour ratio, the fluctuation factor, the correlation factor, and the power generation fluctuation difference.

[0007] Further, the power generation fluctuation difference calculation unit includes the following sub-units: Period-related factor calculation unit: used to calculate the period-related factor between wind power generation and solar power generation within each collection period; Power generation fluctuation difference calculation unit: used to calculate the power generation fluctuation difference according to the wind power generation within each collection period, the solar power generation within each collection period, and the period-related factor.

[0008] Further, the most optimal site selection position determination module includes the following sub-modules: Time complementarity index acquisition sub-module: used to acquire the time complementarity index; Stability index acquisition module: used to acquire the stability index; Target optimization function construction module: used to construct a target optimization function based on the time complementarity index and the stability index, solve the optimal solution of the target optimization function using a target optimization algorithm, and obtain the most optimal site selection position.

[0009] Further, the time complementarity index acquisition sub-module includes the following units: Peak moment acquisition unit: used to obtain the time point when the load peak appears at a predetermined site selection position from the power grid dispatching center as the peak moment; Load dynamic weight acquisition unit: used to obtain the current power grid load demand and the maximum power grid load demand at a predetermined site selection position from the power grid dispatching center, and calculate the load dynamic weight according to the current power grid load demand, the maximum power grid load demand, and the peak moment; Time complementarity index calculation unit: used to calculate the time complementarity index according to the load dynamic weight, the wind power generation within each collection period, and the solar power generation within each collection period.

[0010] Further, the stability index acquisition module includes the following units: Charge and discharge depth standard deviation acquisition unit: used to obtain the charge and discharge depth standard deviation of the energy storage system in the wind-solar-storage system; Health index acquisition unit: used to obtain the failure rate and power generation efficiency of the wind-solar-storage system, and calculate the health index according to the failure rate and the power generation efficiency; Power grid frequency deviation acquisition unit: used to obtain the power grid frequency deviation; Stability index calculation unit: used to calculate the stability index according to the load dynamic weight, the health index, the power grid frequency deviation, and the charge and discharge depth standard deviation.

[0011] Further, the calculation formula group of the comprehensive complementarity index is: ; ; ; In the above formula, represents the comprehensive complementary index of the i-th candidate site location, represents the wind-solar complementary ratio index of the i-th candidate site location, represents the difference in power generation fluctuations of the i-th candidate site location, represents the influence coefficient of the wind-solar complementary ratio index, represents the influence coefficient of the difference in power generation fluctuations. N represents the number of hours corresponding to the power generation proportion greater than 0.4 and less than 0.6, represents the fluctuation factor, represents the influence coefficient of the fluctuation factor, represents the operation of taking the maximum value, represents the wind power generation in the t-th collection period, represents the solar power generation in the t-th collection period, represents the correlation factor, represents the exponential decay coefficient, represents the influence coefficient of the correlation factor. m represents the total number of collection periods, represents the cycle correlation factor in the t-th collection period.

[0012] Furthermore, the objective optimization function is: ; ; ; ; In the above formula, F represents the objective optimization function, represents the time complementarity index, represents the stability index, represents the influence coefficient of the time complementarity index, represents the influence coefficient of the stability index, represents the load dynamic weight, represents the standard deviation of the charge-discharge depth, represents the grid frequency deviation, represents the peak moment, represents the influence factor of the ratio of the health index to the grid frequency deviation. Q represents the failure rate, represents the power generation efficiency, is a constant greater than 0, represents the first exponential decay coefficient, represents the second exponential decay coefficient, represents the adjustment coefficient of the standard deviation of the charge-discharge depth, represents the grid load demand at the current moment, represents the maximum grid load demand.

[0013] The embodiments of the present invention have the following technical effects: By comprehensively considering the difference in power generation fluctuations and the wind-solar complementary ratio index at the candidate site selection locations, the present invention calculates the comprehensive complementary index and screens the predetermined site selection locations based on this, which can effectively quantify the complementarity of wind-solar resources and the volatility of power generation, thereby significantly improving the scientificity and rationality of the wind farm site selection in the new energy base. Further, a target optimization function is constructed based on the wind energy time complementarity index and the stability index, and the optimal solution is solved using the target optimization algorithm to determine the optimal site selection location, achieving the maximization of the operation efficiency of the wind-solar-storage system. This method can significantly reduce the impact of the volatility of new energy power generation on the power grid, improve the overall coordination ability of the wind-solar-storage system, and at the same time provide stronger support for the power grid. In addition, through a multi-dimensional and multi-level evaluation method, the present invention can also accurately optimize the site selection scheme under complex and changeable natural conditions, greatly reducing the occurrence of wind and light abandonment phenomena, improving energy utilization efficiency, and providing strong technical support for the planning and construction of the new energy base. Description of the Drawings

[0014] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0015] Figure 1 is a structural diagram of a wind farm site selection system for a new energy base based on the complementary output of wind-solar-storage provided by an embodiment of the present invention. Detailed Embodiments

[0016] To make the purpose, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope protected by the present invention.

[0017] Figure 1 is a structural diagram of a wind farm site selection system for a new energy base based on the complementary output of wind-solar-storage provided by an embodiment of the present invention. Refer to Figure 1 , which specifically includes the following modules: Target area data acquisition module: used to acquire target area data, which includes wind speed and light intensity.

[0018] In practical applications, the selection of the target area needs to comprehensively consider various factors such as geography, climate, economy, and society. The following are the specific implementation steps: A. Geographical scope demarcation According to the requirements of new energy base construction, initially demarcate a geographical scope. For example, areas with rich wind energy resources and good lighting conditions can be selected, such as the Gobi Desert or desert areas in the northwest of China (such as the Hexi Corridor in Gansu, Hami in Xinjiang, etc.). These areas usually have relatively high wind speeds and long sunshine hours, which are suitable for complementary wind-solar power generation.

[0019] B. Climate condition screening Based on historical meteorological data, select areas that meet the following conditions: Annual average wind speed ≥ 6 m / s (suitable for wind power development).

[0020] Annual total sunshine hours ≥ 2500 hours (suitable for photovoltaic development).

[0021] There is a certain complementarity in the seasonal changes of wind speed and light intensity (such as higher wind speed and weaker light in winter, stronger light and lower wind speed in summer).

[0022] C. Economic and social factor assessment Combined with the regional economic development level, grid connection conditions, and land use situation, further narrow down the scope of the target area. For example, priority is given to areas close to the load center or existing transmission lines to reduce the cost of power transmission.

[0023] Through the above steps, finally determine one or more target areas as the objects for subsequent data analysis.

[0024] In addition to wind speed and light intensity, the target area data can also include: temperature, humidity, solar radiation angle, incident angle, landform characteristics, land use type, etc.

[0025] Candidate site selection location screening module: connected to the target area data acquisition module, used to obtain the preset wind speed and preset light intensity according to the wind speed and light intensity, and determine the candidate site selection locations within the target area.

[0026] In this embodiment, the preset wind speed and preset light intensity are used as screening conditions. Preferably, this embodiment also considers the substation location information as a screening condition. Among them, the preset wind speed is: a wind speed greater than or equal to 6 m / s; the preset light intensity is: a light intensity greater than or equal to 1200 kWh / m 2 ; and the circular range of 50 km covered by the substation is also used as a screening condition.

[0027] Specifically: Each square kilometer within the target area is regarded as a small area. The annual average wind speed and annual average light intensity of each small area within the target area are obtained, and the substation location information of the small area is marked. An annual average wind speed distribution map and an annual average light intensity distribution map are generated and overlaid, and the areas within the circular range of 50 km covered by the substation and with an annual average wind speed greater than or equal to 6 m / s and an annual average light intensity greater than or equal to 1200 kWh / m 2 are used as candidate site selection locations.

[0028] Predetermined site selection location screening module: Connected to the candidate site selection location screening module, it is used to define the wind-solar complementary ratio index and the power generation fluctuation difference, and screen out the predetermined site selection locations from the candidate site selection locations according to the wind-solar complementary ratio index and the power generation fluctuation difference.

[0029] The predetermined site selection location screening module includes the following sub-modules: Wind-solar complementary ratio index acquisition sub-module: Used to obtain the power generation fluctuation difference of each candidate site selection location, and calculate the wind-solar complementary ratio index of each candidate site selection location according to the power generation fluctuation difference.

[0030] The wind-solar complementary ratio index acquisition sub-module includes the following units: Time series data acquisition unit: Used to obtain the wind power generation time series data and solar power generation time series data of each candidate site selection location.

[0031] Among them, the wind power generation time series data and / or the solar power generation time series data are collected once every hour, and the hour is used as the collection period.

[0032] Power generation ratio calculation unit: Used to calculate the power generation ratio of wind power generation and solar power generation within each collection period according to the wind power generation time series data and the solar power generation time series data.

[0033] ; where represents the power generation ratio of the t-th collection period, represents the wind power generation of the t-th collection period, represents the solar power generation of the t-th collection period.

[0034] Hour ratio calculation unit: Used to statistically calculate the ratio of the number of hours corresponding to the power generation ratio greater than 0.4 and less than 0.6 to the total number of hours as the hour ratio: N / m, where N represents the number of hours corresponding to the power generation ratio greater than 0.4 and less than 0.6, and m represents the total number of collection periods (i.e., the total number of hours in the entire time series).

[0035] The hourly ratio can intuitively reflect the temporal complementarity between wind power and solar power generation by counting the number of hours when the ratio of wind power to solar power generation within each hour falls within the range of 0.4 to 0.6 and calculating its proportion in the total number of hours. Specifically, when is close to 0.5, it indicates that the wind power and solar power generation within that hour are almost equal, and the output of the two energy sources is in a relatively balanced state; while when deviates further from 0.5 (i.e., approaches 0 or 1), it means that the wind power or solar power generation at a certain moment dominates absolutely, and the complementarity is weak. Therefore, the larger the hourly ratio, the more time periods there are when the ratio of wind power to solar power generation is close to the balanced state, thus reflecting a higher temporal complementarity. This balance helps to suppress the volatility of new energy power generation, reduce the demand for energy storage systems or grid regulation, and enhance the stability and economy of the entire wind-solar complementary system. In other words, a larger hourly ratio not only represents better resource matching characteristics but also provides a scientific basis for the site selection and operation optimization of new energy bases.

[0036] Correlation factor calculation unit: used to calculate the correlation factor between wind power generation and solar power generation according to the time series data of wind power generation and the time series data of solar power generation.

[0037] Power generation fluctuation difference calculation unit: used to calculate the power generation fluctuation difference at each candidate site location; The power generation fluctuation difference calculation unit includes the following sub-units: Period correlation factor calculation sub-unit: used to calculate the period correlation factor between wind power generation and solar power generation within each collection period; Power generation fluctuation difference calculation sub-unit: used to calculate the power generation fluctuation difference according to the wind power generation within each collection period, the solar power generation within each collection period, and the period correlation factor.

[0038] ; where represents the power generation fluctuation difference at the i-th candidate site location, represents the wind power generation in the t-th collection period, represents the solar power generation in the t-th collection period, represents the period correlation factor in the t-th collection period.

[0039] The power generation fluctuation difference is also highly correlated with the power generation complementarity. Besides calculating the absolute difference between wind power generation and solar power generation, the periodic correlation factor between wind power generation and solar power generation within each collection period is especially considered. When is close to 1, it indicates that the power generation of the two energy sources is highly correlated during that time period, and the complementarity is poor; on the contrary, when When it is close to 0, the complementarity is better. Therefore, a larger means that the power generation fluctuation is larger, while a smaller indicates that the power generation is relatively stable and the complementarity is good. This index plays a key role in the subsequent calculation of the fluctuation factor, helping to identify candidate siting locations with smaller power generation fluctuations and better complementarity, thereby optimizing the siting scheme of the new energy base and improving the overall stability of the system.

[0040] Fluctuation factor calculation unit: used to calculate the fluctuation factor according to the time series data of wind power generation and the time series data of solar power generation.

[0041] 。

[0042] Wind-solar complementary ratio index acquisition unit: used to calculate the wind-solar complementary ratio index according to the hourly ratio, fluctuation factor, correlation factor, and power generation fluctuation difference.

[0043] ; Among them, represents the wind-solar complementary ratio index of the i-th candidate siting location, represents the influence coefficient of the fluctuation factor, represents the maximum value operation, represents the influence coefficient of the correlation factor, m represents the total number of acquisition cycles, N represents the number of hours corresponding to the power generation ratio greater than 0.4 and less than 0.6, represents the correlation factor, represents the exponential decay coefficient.

[0044] Comprehensive complementary index construction sub-module: used to calculate the comprehensive complementary index according to the power generation fluctuation difference and the wind-solar complementary ratio index, and arrange the comprehensive complementary indexes from high to low, and take the candidate siting locations corresponding to the top 3 / 5 comprehensive complementary indexes as the predetermined siting locations.

[0045] ; In the above formula, represents the comprehensive complementary index of the i-th candidate siting location, represents the influence coefficient of the wind-solar complementary ratio index, represents the influence coefficient of the power generation fluctuation difference.

[0046] This embodiment comprehensively considers the complementarity and volatility of wind power and solar power generation, obtains the comprehensive complementary index, comprehensively evaluates the wind-solar complementary characteristics of the candidate siting locations, helps to identify areas with smaller power generation fluctuations and better complementarity, and thus optimizes the siting scheme of the new energy base.

[0047] Optimal Site Location Determination Module: Connected to the predetermined site location screening module, it is used to determine the time complementarity index and stability index, construct an objective optimization function based on the time complementarity index and stability index, and use the objective optimization algorithm to solve the optimal solution of the objective optimization function to obtain the optimal site location.

[0048] The optimal site location determination module includes the following sub-modules: Time Complementarity Index Acquisition Sub-module: Used to acquire the time complementarity index.

[0049] Stability Index Acquisition Module: Used to acquire the stability index.

[0050] Among them, the time complementarity index acquisition sub-module includes the following units: Peak Moment Acquisition Unit: Used to obtain the time point when the load peak appears at the predetermined site location from the power grid dispatching center as the peak moment.

[0051] The peak moment reflects the variation law of the power grid load demand and is the key basis for evaluating the time complementarity of wind energy and solar power generation. By comparing with the time distribution of wind energy and solar power generation, it can be judged whether the two can provide sufficient support at the peak moment. Therefore, in this embodiment, historical load data is obtained from the power grid dispatching center, and its annual load curve is analyzed to determine the load peak moment of each year. .

[0052] Load Dynamic Weight Acquisition Unit: Used to obtain the current power grid load demand and the maximum power grid load demand at the predetermined site location from the power grid dispatching center, and calculate the load dynamic weight according to the current power grid load demand, the maximum power grid load demand, and the peak moment.

[0053] ; Among them, represents the load dynamic weight, represents the peak moment, represents the first exponential decay coefficient, represents the current power grid load demand, represents the maximum power grid load demand.

[0054] The dynamic weight can highlight the importance of key periods (such as peak load) to the system operation and ensure that the output of the wind-solar-storage system better matches the power grid demand during key periods.

[0055] Time Complementarity Index Calculation Unit: Used to calculate the time complementarity index according to the load dynamic weight, the wind energy power generation in each collection period, and the solar energy power generation in each collection period. .

[0056] 。

[0057] Based on the peak moment, this embodiment obtains the load dynamic weight to reflect the changes in the grid load demand during different collection cycles, enabling the time complementarity index to more accurately match the actual load demand. The complementary characteristics of wind energy and solar energy are optimized during the peak and trough periods of the load respectively, ensuring sufficient solar power generation during high load periods (such as during the day or evening), and stable wind power generation during low load periods (such as at night). Combined with the wind energy and solar energy generation, the matching degree of wind energy and solar energy in terms of time is thus quantified. Through this index, candidate locations where wind energy and solar energy generation can effectively complement each other during different time periods can be screened, ensuring that the new energy base can maintain stable power output under all-weather conditions and reducing the dependence on a single energy source.

[0058] The stability index acquisition module includes the following units: The charge-discharge depth standard deviation acquisition unit: used to obtain the charge-discharge depth standard deviation of the energy storage system in the wind-solar-storage system.

[0059] The charge-discharge depth standard deviation reflects the operating state of the energy storage system. A larger standard deviation may mean that the energy storage system frequently performs large-depth charge and discharge, accelerating battery aging and affecting the long-term stability of the system. Therefore, this embodiment considers the charge-discharge depth standard deviation during the site selection process. The standard deviation of the charge-discharge depth is calculated from the charge-discharge depth data collected from the battery management system (BMS) of the energy storage system.

[0060] The health index acquisition unit: used to obtain the failure rate and power generation efficiency of the wind-solar-storage system, and calculate the health index G based on the failure rate and power generation efficiency.

[0061] The failure rate is obtained from the historical maintenance records of the wind-solar-storage system. The power generation efficiency refers to the ability of the device to convert the input energy into electrical energy. During the actual operation process, the power generation efficiency is calculated by collecting the input and output data of the device.

[0062] ; where Q represents the failure rate, represents the power generation efficiency. The health index can comprehensively evaluate the overall performance of the wind-solar-storage system. A higher health index means that the system operates stably and efficiently, which helps to screen the optimal site selection location.

[0063] The grid frequency deviation acquisition unit: used to obtain the grid frequency deviation.

[0064] Multiple grid frequency data are collected in real time from the grid dispatching center, and the grid frequency deviation is obtained through the calculation method of the deviation. The grid frequency deviation reflects the stability requirements of the grid. The wind-solar-storage system needs to have a fast response ability to help maintain the stability of the grid frequency.

[0065] The stability index calculation unit: is used to calculate the stability index based on the load dynamic weight, health index, power grid frequency deviation, and standard deviation of charge and discharge depth.

[0066] ; Among them, represents the stability index, represents the standard deviation of charge and discharge depth, represents the power grid frequency deviation, represents the influence factor, is a constant greater than 0, represents the second exponential decay coefficient, represents the adjustment coefficient of the standard deviation of charge and discharge depth.

[0067] These parameters comprehensively evaluate the operation performance and adaptability of the wind-solar-storage system from different perspectives: the load dynamic weight ensures that the selected location can match the actual needs of the power grid; the standard deviation of charge and discharge depth reflects the working state of the energy storage system, avoiding equipment aging caused by frequent large-depth charge and discharge; the power grid frequency deviation indicates the system's support ability for power grid stability; while the failure rate and power generation efficiency measure the reliability of the equipment and the energy conversion efficiency. Through these parameters, those candidate location sites can be screened out that not only have superior resource conditions but also have higher stability and economy in actual operation, thus providing strong support for the scientific planning and construction of new energy bases.

[0068] The target optimization function construction module: is used to construct the target optimization function based on the time complementarity index and the stability index, and use the target optimization algorithm to solve the optimal solution of the target optimization function to obtain the optimal location.

[0069] The target optimization function is: ; In the above formula, F represents the target optimization function, represents the time complementarity index, represents the stability index, represents the influence coefficient of the time complementarity index, represents the influence coefficient of the stability index.

[0070] In this embodiment, the predetermined location sites are first screened out by means of wind-solar resource complementarity and power generation complementarity, and then the candidate locations are further optimized based on the stability index and the time complementarity index. The two complement each other and jointly provide a scientific basis for the location selection of the wind farm in the new energy base, ensuring that the finally selected location not only has superior resource conditions but also can achieve efficient energy utilization and stable power output in actual operation.

[0071] The layout plan of the wind farm is: 1. Arrange the wind turbines according to the "determinant" or "radial" layout principle: Determinant layout: Suitable for flat terrains with a single wind direction, the wind turbines are arranged along the dominant wind direction, with the row spacing being 5 - 9 times the impeller diameter and the column spacing being 3 - 5 times the impeller diameter.

[0072] Radial layout: Suitable for complex terrains or multi - wind - direction areas, the wind turbines are arranged radially with the center point as the center.

[0073] Example: In this embodiment, the area with the highest wind speed at the most preferred site location is in the southeast direction. The wind turbines can be concentratedly arranged in this area and the specific positions can be adjusted according to the terrain.

[0074] 2. Arrange the photovoltaic modules according to the "matrix" layout principle: The row and column spacings need to meet the requirement of minimizing shadow occlusion. Usually, the row spacing is 1.2 - 1.5 times the length of the module.

[0075] In areas with large terrain undulations, the block arrangement method can be adopted. The photovoltaic array is divided into several sub - regions, and each sub - region is designed independently.

[0076] Example: In this embodiment, the area with the strongest sunlight at the most preferred site location is in the southwest direction. The photovoltaic array can be concentratedly arranged in this area and the tilt angle can be adjusted according to the terrain.

[0077] 3. Arrange the energy storage system near the substation to facilitate quick response to the grid demand. In areas with complex terrain, the energy storage system can be dispersed in multiple sub - regions to improve flexibility.

[0078] 4. According to the distribution of the wind farm and the photovoltaic power station, reasonably plan the location of the substation to ensure the shortest transmission distance and the minimum loss.

[0079] 5. Combine the output characteristics of the wind farm and the photovoltaic power station to design transmission lines with different voltage levels. In areas with high load demand, high - voltage transmission lines are preferentially arranged.

[0080] The above - mentioned is only the preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and all should be covered within the protection scope of the present invention.

Claims

1. A wind farm site selection system for a new energy base based on the complementary output of wind, light and energy storage, characterized in that, It includes the following modules: Target area data acquisition module: used to acquire target area data, where the target area data includes wind speed and light intensity; Candidate site selection location screening module: connected to the target area data acquisition module, used to obtain the preset wind speed and preset light intensity based on the wind speed and light intensity, and determine the candidate site selection locations within the target area; Reserved site selection location screening module: connected to the candidate site selection location screening module, used to define the wind-solar complementary ratio index and the power generation fluctuation difference, and screen out the reserved site selection locations from the candidate site selection locations according to the wind-solar complementary ratio index and the power generation fluctuation difference; Optimal site selection location determination module: connected to the reserved site selection location screening module, used to determine the time complementary index and the stability index, construct the target optimization function based on the time complementary index and the stability index, use the target optimization algorithm to solve the optimal solution of the target optimization function, and obtain the optimal site selection location.

2. The wind farm site selection system for a new energy base based on the complementary output of wind, light and energy storage according to claim 1, characterized in that, The reserved site selection location screening module includes the following sub-modules: Wind-solar complementary ratio index acquisition sub-module: used to acquire the power generation fluctuation difference of each candidate site selection location, and calculate the wind-solar complementary ratio index of each candidate site selection location according to the power generation fluctuation difference; Comprehensive complementary index construction sub-module: used to calculate the comprehensive complementary index according to the power generation fluctuation difference and the wind-solar complementary ratio index, arrange the comprehensive complementary index from high to low, and take the candidate site selection locations corresponding to the top 3 / 5 comprehensive complementary index as the reserved site selection locations.

3. The wind farm site selection system for a new energy base based on the complementary output of wind, light and energy storage according to claim 2, wherein, The wind-solar complementary ratio index acquisition sub-module includes the following units: Time series data acquisition unit: used to acquire the wind power generation time series data and the solar power generation time series data of each candidate site selection location. Among them, the wind power generation time series data and / or the solar power generation time series data are collected once every hour, and the hour is used as the collection period; Power generation ratio calculation unit: used to calculate the power generation ratio of wind power generation and solar power generation within each collection period according to the wind power generation time series data and the solar power generation time series data; Hour ratio calculation unit: used to count the ratio of the number of hours corresponding to the power generation ratio greater than 0.4 and less than 0.6 to the total number of hours as the hour ratio; Correlation factor calculation unit: used to calculate the correlation factor between wind power generation and solar power generation according to the wind power generation time series data and the solar power generation time series data; Power generation fluctuation difference calculation unit: used to calculate the power generation fluctuation difference of each candidate site selection location; Fluctuation factor calculation unit: used to calculate the fluctuation factor according to the wind power generation time series data and the solar power generation time series data; Wind-solar complementary ratio index acquisition unit: used to calculate the wind-solar complementary ratio index according to the hour ratio, the fluctuation factor, the correlation factor and the power generation fluctuation difference.

4. The new energy base wind farm site selection system based on the complementary output of wind, light and energy storage according to claim 3, characterized in that, The power generation fluctuation difference calculation unit includes the following sub-units: Period correlation factor calculation unit: used to calculate the period correlation factor between wind power generation and solar power generation within each collection period; Power generation fluctuation difference calculation unit: used to calculate the power generation fluctuation difference according to the wind power generation amount in each collection period, the solar power generation amount in each collection period, and the cycle-related factor.

5. The new energy base wind farm site selection system based on the complementary output of wind, light and energy storage according to claim 4, characterized in that, Optimal siting location determination module, including the following sub-modules: Time complementarity index acquisition sub-module: used to acquire the time complementarity index; Stability index acquisition module: used to acquire the stability index; Target optimization function construction module: used to construct a target optimization function based on the time complementarity index and the stability index, solve the optimal solution of the target optimization function using the target optimization algorithm, and obtain the optimal siting location.

6. The wind farm site selection system for a new energy base based on the complementary output of wind, light and energy storage according to claim 5, characterized in that, Time complementarity index acquisition sub-module, including the following units: Peak moment acquisition unit: used to obtain the time point when the load peak of the predetermined siting location appears from the power grid dispatching center as the peak moment; Load dynamic weight acquisition unit: used to obtain the current power grid load demand and the maximum power grid load demand of the predetermined siting location from the power grid dispatching center, and calculate the load dynamic weight according to the current power grid load demand, the maximum power grid load demand, and the peak moment; Time complementarity index calculation unit: used to calculate the time complementarity index according to the load dynamic weight, the wind power generation amount in each collection period, and the solar power generation amount in each collection period.

7. The new energy base wind farm site selection system based on the complementary output of wind, light and energy storage according to claim 6, characterized in that, Stability index acquisition module, including the following units: Charge and discharge depth standard deviation acquisition unit: used to obtain the charge and discharge depth standard deviation of the energy storage system in the wind-solar-storage system; Health index acquisition unit: used to obtain the failure rate and power generation efficiency of the wind-solar-storage system, and calculate the health index according to the failure rate and the power generation efficiency; Power grid frequency deviation acquisition unit: used to obtain the power grid frequency deviation; Stability index calculation unit: used to calculate the stability index according to the load dynamic weight, the health index, the power grid frequency deviation, and the charge and discharge depth standard deviation.

8. A new energy base wind farm site selection system based on the complementary output of wind, light and energy storage according to claim 7, characterized in that, The calculation formula group of the comprehensive complementarity index is: ； ； ； In the above formula, represents the comprehensive complementary index of the i-th candidate site location, represents the wind-solar complementary ratio index of the i-th candidate site location, represents the difference in power generation fluctuations of the i-th candidate site location, represents the influence coefficient of the wind-solar complementary ratio index, represents the influence coefficient of the difference in power generation fluctuations. N represents the number of hours corresponding to the power generation ratio greater than 0.4 and less than 0.6, represents the fluctuation factor, represents the influence coefficient of the fluctuation factor, represents the operation of taking the maximum value, represents the wind power generation in the t-th collection period, represents the solar power generation in the t-th collection period, represents the correlation factor, represents the exponential decay coefficient, represents the influence coefficient of the correlation factor. m represents the total number of collection periods, represents the cycle correlation factor in the t-th collection period.

9. The new energy base wind farm site selection system based on the complementary output of wind, light and energy storage according to claim 8, characterized in that, The target optimization function is: ； ； ； ； In the above formula, F represents the target optimization function, represents the time complementarity index, represents the stability index, represents the influence coefficient of the time complementarity index, represents the influence coefficient of the stability index, represents the load dynamic weight, represents the standard deviation of the charge-discharge depth, represents the power grid frequency deviation, represents the peak moment, represents the influence factor of the ratio of the health index to the power grid frequency deviation, Q represents the failure rate, represents the power generation efficiency, is a constant greater than 0, represents the first exponential decay coefficient, represents the second exponential decay coefficient, represents the adjustment coefficient of the standard deviation of the charge-discharge depth, represents the current power grid load demand, represents the maximum power grid load demand.

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