A multi-energy complementary capacity configuration method and system

Abstract

The present invention discloses a multi-energy complementary capacity configuration method and system, including the following steps: S1, formulate multiple wind-solar complementary capacity configuration schemes and wind-solar-hydro complementary capacity configuration schemes, and calculate the following indicators of each configuration scheme: actual power transmission, effective power transmission rate, power transmission guarantee rate, average load loss depth and unit electricity investment; S2, according to the indicators of each configuration scheme, use the TOPSIS multi-attribute decision method to respectively determine the advantages and disadvantages of multiple wind-solar complementary capacity configuration schemes and multiple wind-solar-hydro complementary capacity configuration schemes; S3, according to the optimal wind-solar complementary capacity configuration scheme and wind-solar-hydro complementary capacity configuration scheme, determine the optimal wind-solar-hydro complementary capacity configuration scheme. Due to the adoption of the above technical scheme, compared with the prior art, the present invention solves the problem of accommodating large-scale wind-solar centralized access to the grid and improves the comprehensive utilization level of multiple energy sources.

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 and renewable energy such as wind power and photovoltaic power has become a major strategic measure for the world to alleviate the energy crisis, respond to climate change and improve the ecological environment. The complementary energy of wind, solar and water helps to optimize the energy structure, reduce dependence on fossil energy, reduce greenhouse gas emissions, and make positive contributions to the global response to climate change. At the same time, this complementary approach also helps to 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. The output power has significant randomness, volatility, and intermittent characteristics, which increases the peak-shaving and frequency-regulating pressure on 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 difficulty in absorbing and the low level of comprehensive utilization of multiple energy sources in the prior art wind, solar and water integrated power system.

[0006] To achieve the above object, the present invention adopts the following technical solution.

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

[0008] 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:

[0009] Actual power delivery :

[0010] ;

[0011] 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;

[0012] Effective power transmission rate :

[0013] ;

[0014] Power transmission guarantee rate :

[0015] ;

[0016] ;

[0017] In the formula, is the power load demand of the receiving power system in the tth period;

[0018] Average load loss depth :

[0019] ;

[0020] Investment per unit of electricity :

[0021] ;

[0022] In the formula, is the total project investment of the power station;

[0023] 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;

[0024] 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.

[0025] The above method is based on the coupling capacity configuration of complementary indicators, and adopts the TOPSIS multi-attribute decision-making method to obtain the optimal wind-solar joint capacity configuration ratio and the wind-solar-water joint 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. Secondly, the five complementary indicators proposed in the present invention can more comprehensively quantify the output characteristics of hydropower, wind power, and photovoltaic combined power generation, providing a basis for obtaining the optimal wind-solar joint capacity configuration ratio and the wind-solar-water joint capacity configuration ratio.

[0026] In some embodiments, the step of obtaining the power generation output of the hydropower station in each time period before complementation includes:

[0027] 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;

[0028] S02, based on the average daily water volume Determine the power generation flow in each period:

[0029] like , then the power generation flow in each period is Q;

[0030] like , then the power generation flow in the period corresponding to the peak shape is , the power generation flow in other periods is ;

[0031] 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 ;

[0032] 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 ;

[0033] in, is the minimum daily discharge flow of the hydropower station, The power station generates full flow; 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, ;

[0034] S03. Calculate the output of the hydropower station in each period according to the power generation flow in each period.

[0035] 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 demand of the receiving power system can be appropriately considered, thereby providing data for the combined capacity configuration of wind, solar and hydropower.

[0036] In some embodiments, step S01 includes:

[0037] 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;

[0038] 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;

[0039] The load pattern in other periods is defined as flat;

[0040] The first setting value is greater than the second setting value, and the second setting value is greater than 0.

[0041] In some embodiments, step S2 includes:

[0042] 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, ;

[0043] S22. Normalized indicator matrix , and obtain the normalized indicator matrix ;

[0044] ;

[0045] S23. Determine the ideal solution of the normalized indicator matrix and negative ideal solution ;

[0046] S24. Calculation The distance from the corresponding index sample to the ideal solution The distance to the negative ideal solution ;

[0047] ;

[0048] ;

[0049] S25. Calculate the relative closeness of each configuration scheme :

[0050] ;

[0051] 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.

[0052] 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.

[0053] 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.

[0054] 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.

[0055] The present invention has at least the following technical effects or advantages:

[0056] 1. Based on the complementary indicator coupling capacity configuration, the TOPSIS multi-attribute decision-making method is used to obtain the optimal wind-solar joint capacity configuration ratio and the wind-solar-water joint 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.

[0057] 2. The five complementary indicators proposed in the present 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.

[0058] 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 load demand of the receiving power system, and provide data for the combined capacity configuration of wind, solar and hydropower. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a flowchart of a method for configuring multi-energy complementary capacity in one embodiment of the present invention;

[0060] Figure 2 A schematic diagram of a system load requirement and a system load requirement after re-determining a load form in an embodiment of the present invention;

[0061] Figure 3a A schematic diagram of a typical form of uniform power generation in one embodiment of the present invention;

[0062] Figure 3b It is a schematic diagram of a typical form of peak load regulation during the midday peak in one embodiment of the present invention;

[0063] Figure 3c It is a schematic diagram of a typical form of evening peak load regulation in one embodiment of the present invention;

[0064] Figure 3dIt is a schematic diagram of a typical form of peak load regulation during the afternoon and evening peaks in one embodiment of the present invention;

[0065] Figure 3e It is a schematic diagram of a typical form of midday and evening high peak regulation in one embodiment of the present invention;

[0066] 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

[0067] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0068] Embodiment 1

[0069] See also Figure 1 , a multi-energy complementary capacity configuration method, comprising the following steps:

[0070] S1. Formulate 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:

[0071] Actual power delivery :

[0072] ;

[0073] 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, , They are the power generation output of wind and solar power (considered as the same type of power source) and water power sources in the tth period before complementation; T is the total number of periods; is the maximum capacity of the power transmission channel; is the duration of the time period;

[0074] Effective power transmission rate :

[0075] ;

[0076] Power transmission guarantee rate :

[0077] ;

[0078] ;

[0079] In the formula, is the power load demand of the receiving power system in the tth period;

[0080] Average load loss depth :

[0081] ;

[0082] Investment per unit of electricity :

[0083] ;

[0084] In the formula, is the total project investment of the power station;

[0085] 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.

[0086] 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;

[0087] 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.

[0088] For wind power and photovoltaic power stations, the general clustering method can be used to obtain their power output in each period before complementarity. For hydropower stations, the following method can be used:

[0089] Specify a fixed time interval to formulate a refined output process for analyzing hydropower output characteristics. The fixed time interval can be one day, 1 hour or 15 minutes. Assuming that the selected time interval is hourly, the load shape curve of typical output is used to redistribute the time series output process within the day to form an hourly output process of 8760 hours in a year.

[0090] S01, such as Figure 2 As shown in the figure, according to the specific time period and depth requirements of the peak load regulation of the receiving power system, each time period of 24 hours is defined as peak, waist and flat according to the following method:

[0091] 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;

[0092] 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;

[0093] The load pattern in other periods is defined as flat;

[0094] The first setting value is greater than the second setting value, and the second setting value is greater than 0. In this embodiment, the first setting value is 0.9, and the second setting value is 0.8.

[0095] Figure 2 In the figure, reference numeral 1 is a curve diagram of system load demand, and reference numeral 2 is a diagram of system load demand after the load shape is re-determined according to the above method.

[0096] Based on the above, we can summarize the typical output scenarios corresponding to the system load demand of the day, which are often in the form of attached Figure 3a-3f One of the six typical forms, including uniform power generation, noon peak load regulation, evening peak load regulation, noon and evening peak load regulation, noon waist and evening high peak load regulation, and noon peak and evening waist peak load regulation.

[0097] 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;

[0098] S02, determining the power generation flow in each period according to the average daily water inflow, including the following steps:

[0099] S021. To meet the requirements of comprehensive utilization, determine the minimum daily discharge flow of the hydropower station and the power station's full flow Constraints, water level fluctuation constraints, beginning and end of day control water level constraints, and input reservoir daily average inflow data;

[0100] S022, if , then the power generation flow in each period is taken ;

[0101] like , then the power generation flow in the period corresponding to the peak shape is , the power generation flow in other periods is ;

[0102] 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 ;

[0103] 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 ;

[0104] 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, .

[0105] S03, calculating the output of the hydropower station in each period of the day and the water level at the end of the period according to the power generation flow in each period;

[0106] S04: If all the days in the dispatching period are calculated, the process ends; otherwise, based on the water level at the end of the current day, the process returns to S021 to continue calculating the hydropower operation process for the next day. Finally, the hourly output process of the hydropower station for 8760 hours in a year is obtained.

[0107] Specifically, step S2 includes:

[0108] 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, ;

[0109] S22. Normalized indicator matrix , and obtain the normalized indicator matrix ;

[0110] ;

[0111] S23. Determine the ideal solution of the normalized indicator matrix and negative ideal solution ;

[0112] S24. Calculation The distance from the corresponding index sample to the ideal solution The distance to the negative ideal solution ;

[0113] ; ;

[0114] S25. Calculate the relative closeness of each configuration scheme :

[0115] ;

[0116] 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.

[0117] The relative closeness results of the wind-solar complementary capacity configuration scheme are shown in Table 3.

[0118] It can be seen from Table 3 that under the fixed channel requirements, considering the comprehensive indicators related to the guarantee rate of minimum power transmission, 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 and guarantee rate, and the highest comprehensive closeness is 0.927. The closeness of the other 1:1.625, 1:0.583, 1:0.286, and 1:2.667 schemes decreases to 0.717, 0.710, 0.398, and 0.379 respectively.

[0119] By selecting the optimal 48-hour complementary operation output process on two days within the year, it can be seen that wind and light can complement each other in different time periods to improve the total effective power and channel utilization, but there is still a partial power supply gap overall.

[0120] The relative closeness results of the wind-solar-hydro complementary capacity configuration scheme are shown in Table 4.

[0121] It can be seen from Table 4 that under the fixed channel requirements, considering the comprehensive indicators related to the guarantee rate of minimum power transmission, 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 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.

[0122] By selecting the same 48-hour optimal complementary operation output process on two days within the 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.

[0123] 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.

[0124] Example

[0125] 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.

[0126] Example

[0127] A computer-readable storage medium stores a computer program / instruction, which implements the steps of the above method when executed by a processor.

[0128] Example

[0129] A computer program product comprises a computer program / instruction, which implements the steps of the above method when executed by a processor.

[0130] 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.

[0131] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting the intention that the claimed invention requires more features than those expressly recited in each claim. Rather, as reflected in the claims, inventive aspects lie in less than all of the features of the individual embodiments previously disclosed. Therefore, the claims that follow the detailed description are hereby expressly incorporated into the detailed description, with each claim itself serving as a separate embodiment of the present invention.

[0132] Those skilled in the art will appreciate that the modules or units or groups of the devices in the examples disclosed herein may be arranged in the device as described in the embodiment, or alternatively may be located in one or more devices different from the devices in the example. The modules in the foregoing examples may be combined into one module or may be divided into multiple submodules.

[0133] Those skilled in the art will appreciate that the modules in the devices in 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 in addition they may be divided into a plurality of submodules or subunits or subgroups. Except that at least some of such features and / or processes or units are mutually exclusive, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner may be combined in any combination. Unless otherwise expressly stated, 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.

[0134] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features from different embodiments is meant to be within the scope of the present invention and to form different embodiments.

[0135] 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. Therefore, a processor with necessary instructions for implementing the method or method elements forms a device for implementing the method or method elements. In addition, 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.

[0136] The various techniques described herein may be implemented in combination with hardware or software, or a combination thereof. Thus, the method and apparatus of the present invention, or some aspects or portions of the method and apparatus of the present invention may be in the form of program codes (i.e., instructions) embedded in a tangible medium, such as a floppy disk, a CD-ROM, a hard disk 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 a device for practicing the present invention.

[0137] In the case where 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.

[0138] 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 transmission mechanism, and includes any information delivery medium. Any combination of the above is also included within the scope of computer readable media.

[0139] 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 is not intended to imply that the objects so described must have a given order in time, space, order, or in any other manner.

[0140] Although the present invention has been described according to a limited number of embodiments, it will be apparent to those skilled in the art, with the benefit of the above description, that other embodiments may be envisioned within the scope of the invention thus described. In addition, it should be noted that the language used in this specification is selected primarily for readability and teaching purposes, rather than for explaining or defining the subject matter of the present invention. Therefore, 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 illustrative, not restrictive, with respect to the scope of the present invention, which is defined by the appended claims.

[0141] 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 protection scope 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 time period 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.

Images