Multi-energy complementary capacity configuration method and system

Abstract

The invention discloses a multi-energy complementary capacity configuration method and system, and the method comprises the following steps: S1, drawing up a plurality of wind-light complementary capacity configuration schemes and wind-light-water complementary capacity configuration schemes, and calculating the following indexes of each configuration scheme: the actual power transmission amount, the effective power transmission rate, the power transmission guarantee rate, the average loss load depth and the unit electricity degree investment; s2, according to the indexes of the configuration schemes, a TOPSIS multi-attribute decision-making method is adopted to determine the advantages and disadvantages of the multiple wind-light complementary capacity configuration schemes and the multiple wind-light-water complementary capacity configuration schemes; and S3, determining an optimal wind-light-water complementary capacity configuration scheme according to the optimal wind-light complementary capacity configuration scheme and the optimal wind-light-water complementary capacity configuration scheme. Due to the adoption of the technical scheme, compared with the prior art, the problem of consumption of large-scale wind and light centralized internet access is solved, and the comprehensive utilization level of multiple energy sources is improved.

Description

Technical Field

[0001] The present invention relates to the field of power distribution technology, and in particular to a multi-energy complementary capacity configuration method and system. Background Art

[0002] The development of clean, low-carbon, renewable energy sources such as wind power and photovoltaics has become a major strategic initiative for alleviating the global energy crisis, addressing climate change, and improving the ecological environment. The complementary energy resources of wind, solar, and hydropower help optimize the energy mix, reduce reliance on fossil fuels, and lower greenhouse gas emissions, making a positive contribution to global efforts to combat climate change. Furthermore, this complementary approach helps improve energy efficiency, reduce energy costs, and promote sustainable economic development.

[0003] However, wind and solar power are affected by many natural factors such as wind speed, solar radiation, and temperature, and their output power has significant randomness, volatility, and intermittent characteristics, which increases the peak-shaving and frequency regulation pressure of the power grid, is not conducive to the safe, economical and stable operation of the power system, and limits the power grid's absorption of wind and solar power.

[0004] Therefore, in order to solve the problem of accommodating large-scale wind and solar power and improve the comprehensive utilization of multiple energy sources, it is urgent to develop a multi-energy complementary capacity configuration method and system. Summary of the Invention

[0005] The present invention provides a multi-energy complementary capacity configuration method and system to solve the technical problems of the existing wind, solar and water integrated power system in terms of absorption difficulties and low level of comprehensive utilization of multiple energy sources.

[0006] To achieve the above-mentioned purpose, the present invention adopts the following technical solutions.

[0007] On the one hand, a multi-energy complementary capacity configuration method is provided, comprising the following steps:

[0008] S1. Develop multiple wind-solar complementary capacity configuration plans and wind-solar-hydro complementary capacity configuration plans, and calculate the following indicators for each configuration plan:

[0009] Actual power transmission : ;

[0010] Where, 、 The power output of the two types of power sources in the tth period before complementation; calculate the actual power transmission of the wind-solar complementary capacity configuration scheme hour, 、 The power output of wind and solar power in the tth period before the two types of power sources complement each other; calculate the actual power transmission of the wind-solar-hydro complementary capacity configuration scheme hour, 、 are the power generation outputs of wind, solar and hydropower in the tth period before the two types of power sources complement each other; T is the total number of periods; is the maximum capacity of the power transmission channel; is the duration of the time period;

[0011] Effective power transmission rate : ;

[0012] Power transmission guarantee rate : ; ;

[0013] Where, is the power load demand of the receiving power system in the tth period;

[0014] Average load loss depth : ;

[0015] Unit electricity investment : ;

[0016] Where, is the total project investment of the power station;

[0017] S2. Based on the indicators of each configuration scheme, the TOPSIS multi-attribute decision-making method is used to determine the advantages and disadvantages of multiple wind-solar complementary capacity configuration schemes and multiple wind-solar-hydro complementary capacity configuration schemes respectively;

[0018] S3. Determine the optimal wind-solar-hydro complementary capacity configuration scheme based on the optimal wind-solar complementary capacity configuration scheme and the wind-solar-hydro complementary capacity configuration scheme.

[0019] This method couples capacity allocation with complementary indicators and employs the TOPSIS multi-attribute decision-making method to determine the optimal combined wind-solar and wind-solar-hydro capacity allocation ratios. This solves the challenge of accommodating large-scale centralized wind and solar grid access and improves the comprehensive utilization of multiple energy sources. Furthermore, the five complementary indicators proposed in this invention can more comprehensively quantify the combined power generation characteristics of hydropower, wind power, and photovoltaic power, providing a foundation for determining the optimal combined wind-solar and wind-solar-hydro capacity allocation ratios.

[0020] In some embodiments, the step of obtaining the power generation output of the hydropower station in each time period before complementation includes:

[0021] S01. Determine the load form corresponding to each time period and the number of time periods corresponding to each load form according to the demand load curve; the load form includes peak, waist, and flat forms;

[0022] S02, based on the average daily water volume Determine the power generation flow in each period:

[0023] like , then the power generation flow in each period is Q;

[0024] like , then the power generation flow in the period corresponding to the peak shape is , the power generation flow in other periods is ;

[0025] like , then the power generation flow in the period corresponding to the peak shape is The power generation flow in the period corresponding to the waist shape is , the power generation flow in other periods is ;

[0026] like , then the power generation flow in the period corresponding to the peak shape and waist shape is , the power generation flow in other periods is ;

[0027] in, is the minimum daily discharge flow of the hydropower station, The power station is fully discharged; is the number of time periods corresponding to the peak shape, is the number of time periods corresponding to the waist shape, is the number of time periods corresponding to the flat pattern, ;

[0028] S03. Calculate the output of the hydropower station in each period according to the power generation flow in each period.

[0029] Based on the capacity configuration coupled with complementary indicators and the above-mentioned typical output scenario summary and output formulation method, the flexible hydropower scheduling operation output sequence can be quickly obtained, and the peak-shaving needs of the receiving power system can be appropriately considered, thereby providing data for the combined capacity configuration of wind, solar and hydropower.

[0030] In some embodiments, step S01 includes:

[0031] The load shape of the period with clear peak load regulation requirements or the period when the demand load rate is greater than the first set value is defined as the peak shape;

[0032] The load shape during the period when the demand load rate is less than or equal to the first set value and greater than the second set value is defined as a waist shape;

[0033] The load shape in other periods is defined as flat;

[0034] The first setting value is greater than the second setting value, and the second setting value is greater than 0.

[0035] In some embodiments, step S2 includes:

[0036] S21. Configuration Scheme , construct the corresponding indicator matrix ;in, is the sequence number of the configuration scheme, is the total number of configuration schemes, is the index number, is the total number of indicators, ;

[0037] S22. Normalized indicator matrix , and obtain the normalized indicator matrix ; ; S23. Determine the ideal solution of the normalized indicator matrix and negative ideal solutions ; S24. Calculation The distance from the corresponding index sample to the ideal solution The distance to the negative ideal solution ; ; ; S25. Calculate the relative closeness of each configuration scheme : ;

[0038] S26. Determine the ranking of multiple wind-solar complementary capacity configuration schemes and multiple wind-solar-hydro complementary capacity configuration schemes according to the order of relative closeness. The greater the relative closeness, the higher the ranking of the configuration scheme.

[0039] On the other hand, a multi-energy complementary capacity configuration system is provided, comprising a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the above method.

[0040] On the other hand, a computer-readable storage medium is provided, on which a computer program / instruction is stored, and when the computer program / instruction is executed by a processor, the steps of the above method are implemented.

[0041] In yet another aspect, a computer program product is provided, comprising a computer program / instruction, which implements the steps of the above method when executed by a processor.

[0042] The present invention has at least the following technical effects or advantages:

[0043] 1. Based on the capacity configuration coupled with complementary indicators, the TOPSIS multi-attribute decision-making method is used to obtain the optimal wind-solar combined capacity configuration ratio and the wind-solar-hydro combined capacity configuration ratio, thereby solving the problem of accommodating large-scale wind-solar centralized grid access and improving the comprehensive utilization level of multiple energy sources.

[0044] 2. The five complementary indicators proposed in this invention can more comprehensively quantify the output characteristics of combined hydropower, wind power and photovoltaic power generation, providing a basis for obtaining the optimal wind-solar combined capacity configuration ratio and the wind-solar-hydro combined capacity configuration ratio.

[0045] 3. Based on the capacity configuration coupled with complementary indicators, the typical output scenario summary and output formulation method are used to quickly obtain the flexible hydropower scheduling operation output sequence, appropriately consider the peak-shaving needs of the receiving power system, and provide data for the combined capacity configuration of wind, solar and hydropower. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 Schematic diagram of a flow chart of a multi-energy complementary capacity configuration method according to an embodiment of the present invention;

[0047] Figure 2 A schematic diagram of a system load requirement and a system load requirement after re-determining the load form in one embodiment of the present invention;

[0048] Figure 3a A schematic diagram of a typical form of uniform power generation in one embodiment of the present invention;

[0049] Figure 3b Schematic diagram of a typical form of peak load regulation during the midday peak period according to an embodiment of the present invention;

[0050] Figure 3c Schematic diagram of a typical form of evening peak load regulation in one embodiment of the present invention;

[0051] Figure 3d Schematic diagram of a typical form of peak load regulation during the afternoon and evening peaks in one embodiment of the present invention;

[0052] Figure 3e Schematic diagram of a typical form of midday and evening high peak regulation in one embodiment of the present invention;

[0053] Figure 3f It is a schematic diagram of a typical form of midday peak and evening waist peak regulation in one embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0055] Example 1

[0056] See also Figure 1 , a multi-energy complementary capacity configuration method, comprising the following steps:

[0057] S1. Develop multiple wind-solar complementary capacity configuration plans and wind-solar-hydro complementary capacity configuration plans, and calculate the complementarity index of each configuration plan. The complementarity index includes the following indicators:

[0058] Actual power transmission : ; Where, 、 The power output of the two types of power sources in the tth period before complementation; calculate the actual power transmission of the wind-solar complementary capacity configuration scheme hour, 、 The power output of wind and solar power in the tth period before the two types of power sources complement each other; calculate the actual power transmission of the wind-solar-hydro complementary capacity configuration scheme hour, 、 are the power generation outputs of wind and solar power (considered as the same type of power source) and hydropower in the tth period before the two types of power sources complement each other; T is the total number of periods; is the maximum capacity of the power transmission channel; is the duration of the time period;

[0059] Effective power transmission rate : ; Power transmission guarantee rate : ; ;

[0060] Where, is the power load demand of the receiving power system in the tth period;

[0061] Average load loss depth :

[0062] ;

[0063] Unit electricity investment : ; Where, is the total project investment of the power station;

[0064] The index table of wind-solar complementary capacity configuration scheme is detailed in Table 1, and the index table of wind-solar-hydro complementary capacity configuration scheme is detailed in Table 2.

[0065] S2. Based on the indicators of each configuration scheme, the TOPSIS multi-attribute decision-making method is used to determine the advantages and disadvantages of multiple wind-solar complementary capacity configuration schemes and multiple wind-solar-hydro complementary capacity configuration schemes respectively; S3. Determine the optimal wind-solar-hydro complementary capacity configuration scheme based on the optimal wind-solar complementary capacity configuration scheme and the wind-solar-hydro complementary capacity configuration scheme.

[0066] For wind power and photovoltaic power stations, a general clustering method can be used to obtain their power output in each time period before complementarity. For hydropower stations, the following method can be used: A detailed output process is developed for analyzing hydropower output characteristics at a fixed time interval. This time interval can be one day, one hour, or 15 minutes. Assuming the selected time interval is hourly, the load shape curve for typical output is used to redistribute the time series output process within the day, forming an hourly output process for 8760 hours in a year.

[0067] S01、 Figure 2 As shown in the figure, according to the specific time period and depth requirements of the receiving power system peak regulation, each period of 24 hours is defined as peak, mid-range, and flat according to the following method: The load shape of the period with clear peak load regulation requirements or the period when the demand load rate is greater than the first set value is defined as the peak shape; The load shape during the period when the demand load rate is less than or equal to the first set value and greater than the second set value is defined as a waist shape; The load shape in other periods is defined as flat; The first set value is greater than the second set value, and the second set value is greater than 0. In this embodiment, the first set value is 0.9, and the second set value is 0.8.

[0068] Figure 2 In the figure, reference numeral 1 is a curve diagram of the system load demand, and reference numeral 2 is a diagram of the system load demand after the load shape is re-determined according to the above method.

[0069] Based on the above, we can summarize the typical output scenarios corresponding to the system load demand today, which are often in the form of attached Figures 3a-3fOne of the six types, including uniform power generation, noon peak load regulation, evening peak load regulation, noon and evening peak load regulation, noon waist and evening high load regulation, and noon peak and evening waist peak load regulation.

[0070] Then, the load form corresponding to each time period and the number of time periods corresponding to each load form are determined according to the demand load curve; S02. Determine the power generation flow rate for each time period based on the average daily water inflow, including the following steps: S021. To meet the requirements of comprehensive utilization, determine the minimum daily discharge flow of the hydropower station. and the full power flow of the power station Constraints, water level fluctuation constraints, beginning-of-day and end-of-day control water level constraints, and input of reservoir daily average inflow data; S022, if , then the power generation flow in each period is taken ; like , then the power generation flow in the period corresponding to the peak shape is , the power generation flow in other periods is ; like , then the power generation flow in the period corresponding to the peak shape is The power generation flow in the period corresponding to the waist shape is The power generation flow in the period corresponding to the flat state is ; like , then the power generation flow in the period corresponding to the peak shape and waist shape is The power generation flow in the period corresponding to the flat state is ; in, is the minimum daily discharge flow of the hydropower station, The power station is fully discharged; is the number of time periods corresponding to the peak shape, is the number of time periods corresponding to the waist shape, is the number of time periods corresponding to the flat pattern, .

[0071] S03. Calculate the output of the hydropower station in each period of the day and the water level at the end of the period based on the power generation flow in each period; If all calculations for the dispatch period are complete, the process ends in step S04. Otherwise, based on the water level at the end of the current day's period, the process returns to step S021 to continue calculating the hydropower operation process for the next day. Ultimately, the hourly output of the hydropower station for 8760 hours in a year is obtained.

[0072] Specifically, step S2 includes: S21. Configuration Scheme , construct the corresponding indicator matrix ;in, is the sequence number of the configuration scheme, is the total number of configuration schemes, is the index number, is the total number of indicators, ; S22. Normalized indicator matrix , and obtain the normalized indicator matrix ; ; S23. Determine the ideal solution of the normalized indicator matrix and negative ideal solutions ; S24. Calculation The distance from the corresponding index sample to the ideal solution The distance to the negative ideal solution ; ; ; S25. Calculate the relative closeness of each configuration scheme : ; S26. Determine the ranking of multiple wind-solar complementary capacity configuration schemes and multiple wind-solar-hydro complementary capacity configuration schemes according to the order of relative closeness. The greater the relative closeness, the higher the ranking of the configuration scheme.

[0073] The relative closeness results of the wind-solar complementary capacity configuration scheme are shown in Table 3.

[0074] As shown in Table 3, under fixed channel requirements, considering comprehensive indicators related to the minimum power transmission guarantee rate, average load loss depth, net power, and total cost, it is found that among the wind-solar complementary schemes, the 1:1 installed capacity ratio scheme has the largest power transmission capacity and guarantee rate, and the highest comprehensive closeness is 0.927. The closeness of the other schemes of 1:1.625, 1:0.583, 1:0.286, and 1:2.667 decreases to 0.717, 0.710, 0.398, and 0.379, respectively.

[0075] By selecting the optimal complementary operation output process of 48 hours on two days within the year, it can be seen that wind and solar power can complement each other at different time periods to improve the total effective power and channel utilization rate, but there is still a partial power supply gap overall.

[0076] The relative closeness results of the wind-solar-hydro complementary capacity configuration scheme are shown in Table 4.

[0077] As shown in Table 4, under fixed channel requirements, considering comprehensive indicators related to the minimum power transmission guarantee rate, average load loss depth, net power, and total cost, it is found that among the wind-solar-hydro complementary schemes, the 1:0.75 installed capacity ratio scheme has the largest power transmission capacity and guarantee rate, and the highest comprehensive closeness is 0.890. The closeness of the other 1:1, 1:0.571, 1:1.375, and 1:2 schemes decreases to 0.854, 0.666, 0.549, and 0, respectively.

[0078] Selecting the optimal complementary operation output process of 48 hours on two days in the same year, it can be seen that the addition of hydropower greatly improves the total effective power and channel utilization, and fills a considerable part of the power supply gap.

[0079] Taking the two complementary situations into consideration, the optimal capacity configuration ratio of wind-solar complementarity is 1:1, and the optimal capacity configuration ratio of wind-solar-hydro complementarity is 1:0.75. Therefore, accordingly, the optimal capacity configuration ratio of wind, solar and hydro complementarity is 1:1:0.375. Example

[0080] A multi-energy complementary capacity configuration system includes a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the above method. Example

[0081] A computer-readable storage medium stores a computer program / instruction thereon, which implements the steps of the above method when executed by a processor. Example

[0082] A computer program product comprises a computer program / instruction, which implements the steps of the above method when executed by a processor.

[0083] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0084] Similarly, it should be understood that in order to streamline the present disclosure and aid understanding of one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the claims, inventive aspects lie in less than all the features of the individual embodiments disclosed above. Accordingly, the claims that follow the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of the invention.

[0085] Those skilled in the art will appreciate that the modules, units, or groups of devices in the examples disclosed herein may be arranged in the device described in the embodiment, or alternatively may be located in one or more devices different from the devices in the examples. The modules in the aforementioned examples may be combined into one module or further divided into multiple submodules.

[0086] It will be appreciated by those skilled in the art that the modules in the devices of the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or groups in the embodiments may be combined into one module or unit or group, and furthermore they may be divided into a plurality of submodules or subunits or subgroups. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed herein may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0087] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features and not other features included in other embodiments, the combination of features from different embodiments is intended to be within the scope of the invention and to form different embodiments.

[0088] In addition, some of the embodiments are described herein as methods or combinations of method elements that can be implemented by a processor of a computer system or by other devices that perform the functions described. Thus, a processor having the necessary instructions for implementing the method or method element forms a device for implementing the method or method element. Furthermore, the elements described herein of the device embodiments are examples of devices for implementing the functions performed by the elements for the purpose of implementing the invention.

[0089] The various techniques described herein may be implemented in conjunction with hardware or software, or a combination thereof. Thus, the methods and apparatus of the present invention, or certain aspects or portions of the methods and apparatus of the present invention, may take the form of program code (i.e., instructions) embedded in a tangible medium, such as a floppy disk, CD-ROM, hard drive, or any other machine-readable storage medium, wherein when the program is loaded into a machine such as a computer and executed by the machine, the machine becomes an apparatus for practicing the present invention.

[0090] When the program code is executed on a programmable computer, the computing device generally includes a processor, a storage medium readable by the processor (including volatile and non-volatile memory and / or storage elements), at least one input device, and at least one output device. The memory is configured to store the program code; the processor is configured to execute the method of the present invention according to the instructions in the program code stored in the memory.

[0091] By way of example and not limitation, computer-readable media include computer storage media and communication media. Computer-readable media include computer storage media and communication media. Computer storage media stores information such as computer-readable instructions, data structures, program modules, or other data. Communication media generally embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and includes any information delivery media. Combinations of any of the above are also included within the scope of computer-readable media.

[0092] As used herein, unless otherwise specified, the use of ordinal numbers "first," "second," "third," etc. to describe common objects merely indicates that different instances of similar objects are involved and are not intended to imply that the objects so described must have a given order in time, space, ranking, or in any other manner.

[0093] Although the present invention has been described with respect to a limited number of embodiments, it will be apparent to those skilled in the art, having benefit of the foregoing description, that other embodiments are contemplated within the scope of the invention thus described. Furthermore, it should be noted that the language used in this specification has been selected primarily for readability and didactic purposes, rather than for the purpose of explaining or limiting the subject matter of the present invention. Consequently, many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the appended claims. The disclosure of the present invention is intended to be illustrative rather than restrictive of the scope of the invention, which is defined by the appended claims.

[0094] Finally, it should be noted that the present invention does not explain in detail the common knowledge recognized by technicians in this field. The above is only a specific 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 scope of protection of the present invention.

Claims

1. A multi-energy complementary capacity configuration method, characterized in that: The steps include: S1. Formulate multiple wind-solar complementary capacity configuration plans and wind-solar-hydro complementary capacity configuration plans, and calculate the following indicators of each configuration plan: Actual power delivery : ； In the formula, , are the power generation outputs of the two types of power sources in the tth period before complementation; calculate the actual power transmission of the wind-solar complementary capacity configuration scheme hour, , The power output of wind and solar power in the tth period before the complementarity of wind and solar power; calculate the actual power transmission of the wind-solar-hydro complementary capacity configuration scheme hour, , are the power generation outputs of wind, solar and hydropower in the tth period before the two types of power sources complement each other; T is the total number of periods; is the maximum capacity of the power transmission channel; is the duration of the time period; Effective power transmission rate : ； Power transmission guarantee rate: ； ； In the formula, is the power load demand of the receiving power system in the tth period; Average load loss depth : ； Investment per unit of electricity : ； In the formula, is the total project investment of the power station; S2. According to the indicators of each configuration scheme, the TOPSIS multi-attribute decision-making method is used to determine the advantages and disadvantages of multiple wind-solar complementary capacity configuration schemes and multiple wind-solar-hydro complementary capacity configuration schemes; S3. Determine the optimal wind-solar-hydro complementary capacity configuration plan based on the optimal wind-solar complementary capacity configuration plan and the wind-solar-hydro complementary capacity configuration plan.

2. The multi-energy complementary capacity configuration method according to claim 1, characterized in that: The steps for obtaining the power generation output of the hydropower station in each period before complementation include: S01. Determine the load form corresponding to each time period and the number of time periods corresponding to each load form according to the demand load curve; the load form includes peak, waist and flat forms; S02, based on the average daily water volume Determine the power generation flow in each period: like , then the power generation flow in each period is Q; like , then the power generation flow in the period corresponding to the peak shape is , the power generation flow in other periods is ; like , then the power generation flow in the period corresponding to the peak shape is The power generation flow in the period corresponding to the waist shape is The power generation flow in the period corresponding to the flat state is ; like , then the power generation flow in the period corresponding to the peak shape and waist shape is The power generation flow in the period corresponding to the flat state is ; in, is the minimum daily discharge flow of the hydropower station, The power station is fully discharged; is the time period number corresponding to the peak shape, is the number of time periods corresponding to the waist shape, is the number of time periods corresponding to the flat pattern, ; S03. Calculate the output of the hydropower station in each period according to the power generation flow in each period.

3. The multi-energy complementary capacity configuration method according to claim 2, characterized in that: Step S01 includes: The load form of the time period with clear peak load regulation requirements or the time period with a demand load rate greater than the first set value is defined as the peak form; The load shape in the period when the demand load rate is less than or equal to the first set value and greater than the second set value is defined as a waist shape; The load pattern in other periods is defined as flat; The first setting value is greater than the second setting value, and the second setting value is greater than 0.

4. The multi-energy complementary capacity configuration method according to any one of claims 1 to 3, characterized in that: Step S2 includes: S21. Configuration Scheme , construct the corresponding indicator matrix ;in, is the sequence number of the configuration scheme, is the total number of configuration schemes, is the index number, is the total number of indicators, ; S22. Normalized indicator matrix , and obtain the normalized indicator matrix ; ； S23. Determine the ideal solution of the normalized indicator matrix and negative ideal solution ; S24. Calculation The distance from the corresponding index sample to the ideal solution The distance to the negative ideal solution ; ； ； S25. Calculate the relative closeness of each configuration scheme : ； S26. Determine the order of merit of multiple wind-solar complementary capacity configuration schemes and multiple wind-solar-hydro complementary capacity configuration schemes according to the order of relative closeness. The greater the relative closeness, the higher the ranking of the configuration scheme.

5. A multi-energy complementary capacity configuration system, comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 4.

6. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instructions are executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

7. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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