Capacity configuration method and system of wind-solar water storage and lifting system

Abstract

The invention belongs to the technical field of new energy, and particularly relates to a capacity configuration method and system of a wind-solar water storage and lifting system. The capacity configuration method comprises the following steps: acquiring position information and capacity range information of a wind power station, a photovoltaic power station and a pumped storage power station in a planned area, output curve information and electricity selling prices of the wind power station and the photovoltaic power station, design parameters of the pumped storage power station, electricity purchasing prices and electricity selling prices; establishing a capacity configuration calculation model of the wind and light water storage and lifting system according to the irrigation water demand curve of the planning area; according to the input design capacity information, the capacity configuration calculation model obtains a first predicted profit value of the wind-solar water storage and lifting system corresponding to the design capacity information through analog simulation and calculation; and iterative simulation calculation is carried out by taking maximization of the first prediction income value as an optimization target, so that the optimal installed capacities of the wind power station, the photovoltaic power station and the pumped storage power station and the optimal storage capacity of the pumped storage power station are obtained.

Description

Technical Field

[0001] The present invention belongs to the field of new energy technology, and specifically relates to a capacity configuration method and system for a wind-solar water storage and pumping system. Background Art

[0002] Water resources are fundamental to life and agricultural production. However, their distribution is extremely uneven across geographic space and time, significantly limiting their effective utilization and ensuring stable and efficient agricultural output. In recent years, with advances in wind and photovoltaic power generation technologies and significant cost reductions, the use of clean energy for water pumping and irrigation has become increasingly attractive. The importance of planning and deploying wind-solar-powered water storage and pumping irrigation systems has become increasingly prominent. However, the inherent randomness and volatility of wind and solar power generation pose challenges to system stability. Especially for large-capacity water pumping irrigation systems, a lack of stable power supply can cause critical equipment such as water pumps to malfunction, compromising overall system reliability.

[0003] In arid mountainous areas, where power grids are generally weak, water and energy shortages severely constrain local economic development. Low-cost access to water and clean energy is a crucial issue for these regions. Therefore, building a converged system encompassing wind, solar, pumped storage, and pumped irrigation—one that organically combines water resource allocation with power generation, utilization, and storage—is an efficient and cost-effective solution. Currently, there are published methods for optimizing the economics of system construction and operation by considering the complex operating conditions of the converged system and the full lifecycle construction and operation costs of wind, solar, and pumped storage. However, wind, solar, and pumped irrigation systems involve the generation, utilization, and storage of electricity, coupled with the combined utilization of water resources. This complicates the capacity optimization of the converged system, which must meet both water and power balances. Furthermore, agricultural pumped irrigation is highly sensitive to water costs, making the full lifecycle operating cost of the system crucial to the project's sustainable development.

[0004] Existing wind-solar-water storage and pumping systems usually improve the stability and economy of system operation by designing operation control methods after capacity configuration is completed, or carry out capacity planning based on source-load characteristics. However, none of them can fully optimize the capacity configuration based on the full life cycle benefits of the wind-solar-water storage and pumping system. Therefore, when planning and constructing wind-solar-water storage and pumping systems, a system capacity configuration method that can consider the full life cycle benefits and take economic optimization as the goal is of great significance to the planning and demonstration of this wind-solar-water storage and pumping system. Summary of the Invention

[0005] In response to the above problems, the present invention provides a capacity configuration method for a wind-solar water storage and pumping system, comprising:

[0006] Obtaining location information and capacity range information of wind power stations, photovoltaic power stations, and pumped-storage power stations within the planning area, and obtaining first hourly output curve information of the wind power stations in a typical year at different installed capacities, second hourly output curve information of the photovoltaic power stations in a typical year at different installed capacities, and design parameters of the pumped-storage power stations in different installed capacities and different reservoir capacities, and obtaining an irrigation water demand curve for a typical year in the planning area, first hourly electricity sales price curves for the wind power stations and the photovoltaic power stations in a typical year, and hourly electricity purchase price curves and second hourly electricity sales price curves for the pumped-storage power station in a typical year;

[0007] Establishing a capacity configuration calculation model for the wind-solar water storage and pumping system based on the location information, the first hourly output curve information, the second hourly output curve information, the design parameters, the irrigation water demand curve, the first hourly electricity sales price curve, the hourly electricity purchase price curve, and the second hourly electricity sales price curve;

[0008] Inputting the design capacity information of the wind-solar-water storage and pumping system into the capacity configuration calculation model, the capacity configuration calculation model obtaining, through simulation and calculation, a first predicted revenue value of the wind-solar-water storage and pumping system corresponding to the design capacity information based on the input design capacity information;

[0009] The capacity configuration calculation model takes maximizing the first predicted profit value as an optimization goal, performs iterative simulation calculations based on the capacity range information and with the design capacity information as a control variable, and obtains the first optimal installed capacity of the wind power station, the second optimal installed capacity of the photovoltaic power station, and the third optimal installed capacity and optimal storage capacity of the pumped-storage power station.

[0010] The capacity configuration calculation model is used to perform simulation and calculation according to the input design capacity information to obtain the first predicted benefit value of the corresponding wind-solar storage and pumping system, and then the optimization goal is to maximize the first predicted benefit value. Based on the capacity range information and with the design capacity information as the control variable, iterative simulation calculation is performed to obtain the first optimal installed capacity of the wind power station, the second optimal installed capacity of the photovoltaic power station, and the third optimal installed capacity and optimal storage capacity of the pumped-storage power station; when the capacity configuration method of the wind-solar storage and pumping system provided by the present invention is used to design the wind-solar storage and pumping system, the benefits of the wind-solar storage and pumping system with different capacity configurations can be accurately evaluated, and the capacity configuration can be optimized based on the full life cycle benefits of the wind-solar storage and pumping system, thereby solving the technical problem that the existing wind-solar storage and pumping system fails to optimize the capacity configuration based on the full life cycle benefits of the wind-solar storage and pumping system.

[0011] Furthermore, the design capacity information includes a first design installed capacity of the wind power station, a second design installed capacity of the photovoltaic power station, and a third design installed capacity and a design storage capacity of the pumped storage power station.

[0012] Furthermore, the capacity configuration calculation model includes a construction and operation and maintenance cost calculation sub-model, a wind and solar water storage and pumping system simulation operation sub-model, and a predicted income calculation sub-model;

[0013] The method for obtaining the first predicted return value through simulation and calculation includes the following steps:

[0014] Step 1: inputting the design capacity information into the construction and operation cost calculation sub-model, the wind-solar-water storage and pumping system simulation operation sub-model, and the predicted income calculation sub-model;

[0015] Step 2: The construction and operation cost calculation sub-model calculates the construction and operation cost information of the wind-solar storage and pumping system corresponding to the design capacity information based on the input design capacity information, and the wind-solar storage and pumping system simulation operation sub-model performs simulation operation based on the input design capacity information to obtain the hourly power generation curve and hourly pumping load curve of the pumped storage power station of the wind-solar storage and pumping system corresponding to the design capacity information;

[0016] Step 3: Transmitting the obtained construction and operation cost information, the hourly power generation curve, and the hourly pumping load curve to the predicted revenue calculation sub-model as input;

[0017] Step 4: The predicted profit calculation sub-model calculates the first predicted profit value of the corresponding wind-solar storage and pumping system based on the input design capacity information, the construction and operation cost information, the hourly power generation curve and the hourly pumping load curve, and completes a round of iterative simulation calculation.

[0018] wherein, a simulation operation sub-model of the wind-solar-water storage and pumping system is established based on the first hourly output curve information, the second hourly output curve information, the design parameters, and the irrigation water demand curve;

[0019] The construction and operation cost calculation sub-model is established based on the location information, and the predicted profit calculation sub-model is established based on the first hourly output curve information, the second hourly output curve information, the first hourly electricity sales price curve, the hourly electricity purchase price curve and the second hourly electricity sales price curve.

[0020] By simulating the wind-solar-storage-and-pumping system, the hourly power generation curve and hourly pumping load curve of the pumped-storage power station can be obtained based on the first hourly output curve information, the second hourly output curve information, the design parameters and the irrigation water demand curve during the simulation process; the predicted profit calculation sub-model can calculate the power generation profit and pumping electricity cost of the wind-solar-storage-and-pumping system through the input design capacity information, the hourly power generation curve and the hourly pumping load curve, as well as the pre-stored first hourly output curve information, the second hourly output curve information, the first hourly electricity sales price curve, the hourly electricity purchase price curve and the second hourly electricity sales price curve, and then combine the input construction and operation and maintenance cost information to accurately predict the first predicted profit value of the wind-solar-storage-and-pumping system corresponding to the design capacity information, thereby realizing an accurate evaluation of the profit of wind-solar-storage-and-pumping systems with different capacity configurations.

[0021] Wherein, the capacity configuration calculation model also includes a capacity configuration optimization sub-model;

[0022] The predicted revenue calculation sub-model inputs the input design capacity information and the obtained first predicted revenue value into the capacity configuration optimization sub-model, and the capacity configuration optimization sub-model stores the input design capacity information and the corresponding first predicted revenue value;

[0023] The capacity configuration optimization sub-model changes the input design capacity information based on the capacity range information and uses the design capacity information as a control variable, and inputs the changed design capacity information into the construction and operation cost calculation sub-model, the wind-solar storage and pumping system simulation operation sub-model, and the predicted income calculation sub-model for the next round of iterative simulation calculation;

[0024] After completing the iterative simulation calculation of the target iteration round, the capacity configuration optimization sub-model sorts the stored first predicted profit values ​​from large to small, and obtains the first optimal installed capacity of the wind power station, the second optimal installed capacity of the photovoltaic power station, and the third optimal installed capacity and optimal storage capacity of the pumped-storage power station based on the design capacity information corresponding to the largest first predicted profit value.

[0025] Furthermore, the method for changing the input design capacity information includes: changing at least one of the first design installed capacity, the second design installed capacity, the third design installed capacity and the design storage capacity.

[0026] Furthermore, the method for calculating the first predicted revenue value by the predicted revenue calculation sub-model includes:

[0027] Pre-storing the first hourly output curve information, the second hourly output curve information, the first hourly electricity selling price curve, the hourly electricity purchasing price curve, and the second hourly electricity selling price curve in the predicted revenue calculation sub-model;

[0028] The predicted revenue calculation sub-model obtains, based on the input design capacity information and the pre-stored first hourly output curve information and the second hourly output curve information, a first hourly output curve of the wind power station each year at the first design installed capacity and a second hourly output curve of the photovoltaic power station each year at the second design installed capacity within a design life cycle;

[0029] The predicted revenue calculation sub-model calculates a first operating revenue value of the corresponding wind-solar storage and pumping system in each year within the design life cycle based on the obtained first hourly output curve and the second hourly output curve, the input hourly power generation curve and the hourly pumping load curve, and the pre-stored first hourly electricity sales price curve, the hourly electricity purchase price curve, and the second hourly electricity sales price curve;

[0030] The predicted profit calculation sub-model calculates the first predicted profit value based on the input construction and operation cost information and the obtained first operation profit value.

[0031] Furthermore, the construction and operation and maintenance cost information includes the construction cost value of the wind-solar-water storage and pumping system and the annual operation and maintenance cost value of the wind-solar-water storage and pumping system during the design life cycle;

[0032] The first predicted return value is calculated using the following formula:

[0033]

[0034] Where r is the discount rate; N is the design life cycle of the wind-solar water storage and pumping system; F i1 F is the first operating income value of the wind-solar water storage and extraction system in the i-th year within the design life cycle; i2 The operation and maintenance cost value of the wind-solar water storage and extraction system in the i-th year within the design life cycle; is the construction cost of the wind-solar water storage and pumping system.

[0035] Furthermore, the annual operation and maintenance cost of the wind-solar water storage and pumping system during the design life cycle is calculated using the following formula:

[0036]

[0037] Among them, F i2 The operation and maintenance cost value of the wind-solar water storage and extraction system in the i-th year within the design life cycle; is the first predicted operation and maintenance cost value of the wind power station in the i-th year within the design life cycle; is the second predicted operation and maintenance cost value of the photovoltaic power station in the i-th year within the design life cycle; The third predicted operation and maintenance cost value of the pumped-storage power station in the i-th year within the design life cycle;

[0038] The first predicted annual operation and maintenance cost value of the wind power station during the design life cycle is calculated using the following formula:

[0039]

[0040] in, is the first predicted operation and maintenance cost value of the wind power station in year i; is the empirical function of the operation and maintenance cost of the wind power station in the i-th year; P W Design the installed capacity for the first step;

[0041] The second predicted annual operation and maintenance cost value of the photovoltaic power station during the design life cycle is calculated using the following formula:

[0042]

[0043] in, is the second predicted operation and maintenance cost value of the photovoltaic power station in year i; is the empirical function of the operation and maintenance cost of the photovoltaic power station in the i-th year; P S Design the installed capacity for the second one;

[0044] The third predicted operation and maintenance cost value of the pumped storage power station each year during the design life cycle is calculated using the following formula:

[0045]

[0046] in, is the third predicted operation and maintenance cost value of the pumped-storage power station in year i; is the empirical function of the operation and maintenance cost of the pumped storage power station in the i-th year; P PS is the third designed installed capacity; V PS is the designed storage capacity.

[0047] Furthermore, the construction cost of the wind-solar water storage and pumping system is calculated using the following formula:

[0048]

[0049] in, is the construction cost of the wind-solar water storage and extraction system; A first predicted construction cost value of the wind power station; A second predicted construction cost value of the photovoltaic power station; is a third predicted construction cost value of the pumped-storage power station.

[0050] Furthermore, the construction and operation cost calculation sub-model is established based on the location information;

[0051] The first predicted construction cost value of the wind power station is calculated using the following formula:

[0052]

[0053] in, A first predicted construction cost value of the wind power station; is the fixed construction cost value of the wind power station; is the variable construction cost value of the wind power station under the first designed installed capacity; are other construction cost values ​​of the wind power station.

[0054] The variable construction cost of the wind power station under the first designed installed capacity is calculated using the following formula:

[0055]

[0056] in, is the variable construction cost value of the wind power station under the first designed installed capacity; (P W ) is the empirical function of the main construction cost of the wind power station; g T1 (D,P W ) is the empirical function of the construction cost of the transmission line project of the wind power station; P W The first designed installed capacity; D W is the transmission line distance of the wind power station;

[0057] The transmission line distance D of the wind power station is W Calculated according to the position information.

[0058] Generally speaking, the construction cost of a wind power station mainly includes fixed costs such as pre-development costs and environmental protection measures (i.e., the fixed construction cost value of the wind power station). ), and the installed capacity (that is, the first designed installed capacity P W ) and the transmission line distance (i.e. the transmission line distance D of the wind power station) W) related equipment and installation engineering costs, construction engineering costs, transmission line engineering costs and other variable costs (that is, the variable construction cost value of the wind power station under the first design installed capacity) ), as well as other costs such as construction land fees, construction management fees, survey and design fees (the other construction costs of the wind power station are ), so the above formula can be used to accurately calculate the first predicted construction cost value of the wind power station under the first designed installed capacity.

[0059] Furthermore, the construction and operation cost calculation sub-model is established based on the location information;

[0060] The second predicted construction cost value of the photovoltaic power station is calculated using the following formula:

[0061]

[0062] in, A second predicted construction cost value of the photovoltaic power station; is the fixed construction cost value of the photovoltaic power station; is the variable construction cost value of the photovoltaic power station under the second designed installed capacity; are other construction cost values ​​of the photovoltaic power station.

[0063] The variable construction cost of the photovoltaic power station under the second designed installed capacity is calculated using the following formula:

[0064]

[0065] in, is the variable construction cost value of the photovoltaic power station under the second designed installed capacity; (P S ) is the empirical function of the main construction cost of the photovoltaic power station; g T2 (D S ,P S ) is the empirical function of the construction cost of the transmission line engineering of the photovoltaic power station; P S The second designed installed capacity; D S is the transmission line distance of the photovoltaic power station;

[0066] The transmission line distance D of the photovoltaic power station is S Calculated according to the position information.

[0067] Generally speaking, the construction cost of the photovoltaic power station mainly includes the fixed costs such as the initial development costs and environmental protection measures (that is, the fixed construction cost value of the photovoltaic power station). ), and the installed capacity (that is, the second designed installed capacity P S ) and the transmission line distance (that is, the transmission line distance D of the photovoltaic power station S ) related equipment and installation engineering costs, construction engineering costs, transmission line engineering costs and other variable costs (that is, the variable construction cost value of the photovoltaic power station under the second design installed capacity) ), as well as other costs such as construction land fees, construction management fees, survey and design fees (the other construction costs of the photovoltaic power station are ), so the above formula can be used to accurately calculate the second predicted construction cost value of the photovoltaic power station under the second designed installed capacity.

[0068] Furthermore, the construction and operation cost calculation sub-model is established based on the location information;

[0069] The third predicted construction cost value of the pumped storage power station is calculated using the following formula:

[0070]

[0071] in, A third predicted construction cost value of the pumped-storage power station; is the fixed construction cost value of the pumped storage power station; is the variable construction cost value of the pumped-storage power station under the third designed installed capacity and the designed storage capacity; are other construction cost values ​​of the pumped storage power station.

[0072] The variable construction cost of the pumped storage power station under the third designed installed capacity and the designed storage capacity is calculated using the following formula:

[0073]

[0074] in, is the variable construction cost value of the pumped-storage power station under the third designed installed capacity and the designed storage capacity; is the empirical function of the main construction cost of the pumped storage power station; g T3 (P PS ,P PS ) is the empirical function of the construction cost of the transmission line engineering of the pumped storage power station; P PS is the third designed installed capacity; V PS is the designed storage capacity; D PS is the transmission line distance of the pumped storage power station;

[0075] The transmission line distance D of the pumped storage power station is PSCalculated according to the position information.

[0076] Generally speaking, the construction cost of the pumped storage power station mainly includes the fixed costs such as the initial development costs and environmental protection measures (that is, the fixed construction cost value of the pumped storage power station). ), and the installed capacity (that is, the third designed installed capacity P PS ), storage capacity (also known as the design storage capacity V PS ) and the transmission line distance (i.e. the transmission line distance D of the pumped storage power station PS ) variable cost (i.e., the variable construction cost value of the pumped storage power station under the third designed installed capacity and the designed storage capacity) ), and other costs (other construction costs of the pumped storage power station ), so the above formula can be used to accurately calculate the third predicted construction cost value of the pumped-storage power station under the third designed installed capacity and the designed storage capacity.

[0077] Furthermore, the predicted revenue calculation sub-model calculates the second annual operating revenue value of the wind power station and the photovoltaic power station within the design life cycle, the third annual predicted revenue value of the pumped-storage power station, and the predicted annual pumping power purchase cost value of the pumped-storage power station based on the obtained first hourly output curve and the second hourly output curve, the input hourly power generation curve and the hourly pumping load curve, and the pre-stored first hourly electricity sales price curve, the hourly electricity purchase price curve, and the second hourly electricity sales price curve;

[0078] The predicted benefit calculation sub-model calculates the first operating benefit value of the corresponding wind-solar storage and pumping system in each year within the design life cycle based on the obtained second operating benefit value, the third predicted benefit value and the predicted pumping power purchase cost value;

[0079] The first annual operating income value of the wind-solar water storage and extraction system during the design life cycle is calculated using the following formula:

[0080]

[0081] Among them, F i1 The first operating income value of the wind-solar water storage and extraction system in the i-th year within the design life cycle; is the second operating income value of the wind power station and the photovoltaic power station in the i-th year within the design life cycle; The third operating income value of the pumped-storage power station in the i-th year within the design life cycle; is the predicted pumping power purchase cost value of the pumped storage power station in the i-th year within the design life cycle.

[0082] Furthermore, in step 2, the wind-solar-storage-and-pumping system simulation operation sub-model performs simulation operation based on the input design capacity information and in combination with set constraints to obtain an hourly power generation curve and an hourly pumping load curve of the pumped-storage power station of the wind-solar-storage-and-pumping system corresponding to the design capacity information;

[0083] The constraints include electricity balance constraints, water balance constraints, reservoir capacity and water level constraints, and irrigation water constraints.

[0084] Furthermore, the power balance constraint is:

[0085] exist hour

[0086]

[0087] in, The electricity consumption of the wind-solar-water storage and pumping system in the tth unit period in the i-th year within the design life cycle; The power generation of the wind-solar-water storage and pumping system in the tth unit period in the i-th year within the design life cycle; The power generation of the wind power station in the tth unit period in the i-th year within the design life cycle at the first design installed capacity; The power generation of the photovoltaic power station in the tth unit period in the i-th year within the design life cycle at the second design installed capacity; The pumping electricity consumption of the pumped-storage power station in the t-th unit period in the i-th year within the design life cycle under the third design installed capacity and the design storage capacity; It is the power generation of the pumped-storage power station in the tth unit time period in the i-th year within the design life cycle under the third design installed capacity and the design storage capacity.

[0088] Furthermore, the water balance constraint is:

[0089]

[0090] Among them, V i,t The water capacity of the upper reservoir of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; V i,t+1 The water capacity of the upper reservoir of the pumped storage power station in the t+1th unit period of the i-th year during the design life cycle, in m 3 ; is the pumped water volume of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; The amount of water released for power generation in the tth unit period of the pumped storage power station in the i-th year during the design life cycle, in m 3 ; The irrigation water volume of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; The pumping power consumption of the pumped storage power station in the tth unit period in the i-th year during the design life cycle; the unit is kilowatt; H is the discharge power generation power of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in kilowatts; P is the pumping head of the pumped storage power station, in meters; H T is the generating head of the pumped storage power station, in meters; μ P is the pumping efficiency of the pumped storage power station; μ T is the power generation efficiency of the pumped storage power station; ρ W is the density of water; g is the acceleration due to gravity.

[0091] Furthermore, the storage capacity and water level constraints are:

[0092] V min <V i,i <V max

[0093] Z min <Z i,t <Z max

[0094] Among them, V i,t The water capacity of the upper reservoir of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; V min V is the minimum storage capacity of the upper reservoir of the pumped storage power station; max is the maximum storage capacity of the upper reservoir of the pumped storage power station; Z i,t is the water level of the upper reservoir of the pumped storage power station in the tth unit period in the i-th year within the design life cycle; Z min is the lowest water level of the upper reservoir of the pumped storage power station; Z max It is the highest water level of the upper reservoir of the pumped storage power station.

[0095] Furthermore, the irrigation water constraints are:

[0096]

[0097] in, The irrigation water volume of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; The irrigation water demand of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 .

[0098] Based on the capacity configuration method of the wind-solar water storage and pumping system provided by the present invention, the present invention also provides a capacity configuration system of the wind-solar water storage and pumping system, including a processing circuit and a memory electrically coupled thereto, characterized in that the memory is configured to store at least one program, the program includes multiple instructions, the processing circuit runs the program, and the capacity configuration system of the wind-solar water storage and pumping system is used to execute the steps in the capacity configuration method of the wind-solar water storage and pumping system provided by the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0099] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for use in the implementation. Obviously, the drawings described below are only some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0100] Figure 1 Schematic diagram of the layout structure of the wind-solar water storage and extraction system in Example 1;

[0101] Figure 2 This is a flow chart of the capacity configuration method of the wind-solar water storage and pumping system in Example 1. DETAILED DESCRIPTION

[0102] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments.

[0103] Example 1:

[0104] like Figure 1 As shown, in the present invention, the wind-solar water storage and pumping system includes a pumped-storage power station and a power supply unit, wherein the power supply unit is composed of a wind power station and a photovoltaic power station connected in parallel and / or in series; the power supply unit is used to supply power to the pumped-storage power station.

[0105] like Figure 2 As shown, this embodiment 1 provides a capacity configuration method for a wind-solar water storage and pumping system, including:

[0106] Obtain the location information and capacity range information of wind power stations, photovoltaic power stations, and pumped-storage power stations within the planning area, and obtain the first hourly output curve information of wind power stations in a typical year under different installed capacities, the second hourly output curve information of photovoltaic power stations in a typical year under different installed capacities, and the design parameters of pumped-storage power stations in a typical year under different installed capacities and different reservoir capacities. Also obtain the irrigation water demand curve for a typical year in the planning area, the first hourly electricity sales price curve for wind power stations and photovoltaic power stations in a typical year, and the hourly electricity purchase price curve and second hourly electricity sales price curve for pumped-storage power stations in a typical year;

[0107] A capacity configuration calculation model for the wind-solar water storage and pumping system is established based on location information, first hourly output curve information, second hourly output curve information, design parameters, irrigation water demand curve, first hourly electricity sales price curve, hourly electricity purchase price curve, and second hourly electricity sales price curve;

[0108] Inputting the design capacity information of the wind-solar storage and pumping system into the capacity configuration calculation model, the capacity configuration calculation model obtains a first predicted revenue value of the wind-solar storage and pumping system corresponding to the design capacity information through simulation and calculation based on the input design capacity information;

[0109] The capacity configuration calculation model takes maximizing the first predicted benefit value as the optimization goal. Based on the capacity range information and with the design capacity information as the control variable, it performs iterative simulation calculations to obtain the first optimal installed capacity of the wind power station, the second optimal installed capacity of the photovoltaic power station, and the third optimal installed capacity and optimal storage capacity of the pumped storage power station.

[0110] The capacity configuration calculation model is used to perform simulation and calculation based on the input design capacity information to obtain the first predicted benefit value of the corresponding wind-solar storage and pumping system. Then, taking the maximum first predicted benefit value as the optimization goal, based on the capacity range information and taking the design capacity information as the control variable, iterative simulation calculation is performed to obtain the first optimal installed capacity of the wind power station, the second optimal installed capacity of the photovoltaic power station, and the third optimal installed capacity and optimal storage capacity of the pumped storage power station. When the capacity configuration method of the wind-solar storage and pumping system provided by the present invention is used to design the wind-solar storage and pumping system, the benefits of the wind-solar storage and pumping system with different capacity configurations can be accurately evaluated, and the capacity configuration is optimized for the full life cycle benefits of the wind-solar storage and pumping system, thereby solving the technical problem that the existing wind-solar storage and pumping system fails to optimize the capacity configuration for the full life cycle benefits of the wind-solar storage and pumping system.

[0111] The method for obtaining the location information and capacity range information of wind power stations, photovoltaic power stations and pumped storage power stations in the planning area, and obtaining the first hourly output curve information of the typical year of wind power stations under different installed capacities, the second hourly output curve information of the typical year of photovoltaic power stations under different installed capacities, and the design parameters of pumped storage power stations under different installed capacities and different reservoir capacities, and obtaining the irrigation water demand curve of the typical year of the planning area includes: analyzing wind measurement and radiation data, checking restrictive factors, and checking the wind power and photovoltaic projects that can be built within a certain range near the collection station of the wind, solar, storage and pumping system. Form a set of buildable wind power and photovoltaic projects that include information such as the installed capacity range, site range, and center coordinates of wind power stations and photovoltaic power stations; select a site for a pumped-storage power station based on topographic and geological conditions, and determine the maximum economic storage capacity and maximum installed capacity of the pumped-storage power station based on the conditions of the upper and lower reservoirs, and form design plans for wind and solar water storage and extraction systems with different installed capacities and storage capacities; accurately calculate the required irrigation water volume based on factors such as crop type, growth cycle, and climatic conditions, and use the upper reservoir of the pumped-storage power station as the water source to determine the scope of the irrigation area and the locations of major water transmission, distribution, and drainage projects.

[0112] Specifically, in this embodiment 1, the design capacity information includes the first design installed capacity of the wind power station, the second design installed capacity of the photovoltaic power station, and the third design installed capacity and design storage capacity of the pumped storage power station.

[0113] Specifically, in this embodiment 1, the capacity configuration calculation model includes a construction and operation and maintenance cost calculation sub-model, a wind-solar storage and pumping system simulation operation sub-model, and a predicted income calculation sub-model;

[0114] The method for obtaining the first predicted profit value through simulation and calculation includes the following steps:

[0115] Step 1: Input the design capacity information into the construction and operation cost calculation sub-model, the wind-solar storage and pumping system simulation operation sub-model, and the predicted income calculation sub-model;

[0116] Step 2: The construction and operation cost calculation sub-model calculates the construction and operation cost information of the wind-solar-water storage and pumping system corresponding to the design capacity information based on the input design capacity information. The wind-solar-water storage and pumping system simulation operation sub-model performs simulation operation based on the input design capacity information to obtain the hourly power generation curve and hourly pumping load curve of the pumped storage power station of the wind-solar-water storage and pumping system corresponding to the design capacity information;

[0117] Step 3: The obtained construction and operation cost information, hourly power generation curve, and hourly pumping load curve are transmitted to the forecast revenue calculation sub-model as input;

[0118] Step 4: The predicted revenue calculation sub-model calculates the first predicted revenue value of the corresponding wind-solar storage and pumping system based on the input design capacity information, construction and operation and maintenance cost information, hourly power generation curve and hourly pumping load curve, completing a round of iterative simulation calculation.

[0119] Among them, a simulation operation sub-model of the wind-solar water storage and pumping system is established based on the first hourly output curve information, the second hourly output curve information, the design parameters and the irrigation water demand curve;

[0120] A construction and operation cost calculation sub-model is established based on location information, and a forecast profit calculation sub-model is established based on the first hourly output curve information, the second hourly output curve information, the first hourly electricity sales price curve, the hourly electricity purchase price curve, and the second hourly electricity sales price curve.

[0121] By simulating the wind-solar-storage-and-lifting system, the hourly power generation curve and hourly pumping load curve of the pumped-storage power station can be obtained based on the first hourly output curve information, the second hourly output curve information, the design parameters and the irrigation water demand curve during the simulation process; the predicted profit calculation sub-model can calculate the power generation profit and pumping electricity cost of the wind-solar-storage-and-lifting system through the input design capacity information, the hourly power generation curve and the hourly pumping load curve, as well as the pre-stored first hourly output curve information, the second hourly output curve information, the first hourly electricity sales price curve, the hourly electricity purchase price curve and the second hourly electricity sales price curve. Combined with the input construction and operation and maintenance cost information, the first predicted profit value of the wind-solar-storage-and-lifting system corresponding to the design capacity information can be accurately predicted, thereby realizing an accurate evaluation of the profit of wind-solar-storage-and-lifting systems with different capacity configurations.

[0122] Preferably, in this embodiment 1, the capacity configuration calculation model further includes a capacity configuration optimization sub-model;

[0123] The predicted revenue calculation sub-model inputs the input design capacity information and the obtained first predicted revenue value into the capacity configuration optimization sub-model, and the capacity configuration optimization sub-model stores the input design capacity information and the corresponding first predicted revenue value;

[0124] The capacity configuration optimization sub-model changes the input design capacity information based on the capacity range information and uses the design capacity information as the control variable. The changed design capacity information is then input into the construction and operation cost calculation sub-model, the wind-solar storage and pumping system simulation operation sub-model, and the predicted income calculation sub-model for the next round of iterative simulation calculations.

[0125] After completing the iterative simulation calculation of the target iteration round, the capacity configuration optimization sub-model will sort the stored first predicted profit values ​​from large to small, and then obtain the first optimal installed capacity of the wind power station, the second optimal installed capacity of the photovoltaic power station, and the third optimal installed capacity and optimal storage capacity of the pumped storage power station based on the design capacity information corresponding to the largest first predicted profit value.

[0126] Specifically, in this embodiment 1, the method for changing the input design capacity information includes: changing at least one of the first design installed capacity, the second design installed capacity, the third design installed capacity and the design storage capacity.

[0127] Specifically, in this embodiment 1, the method for the predicted profit calculation sub-model to calculate the first predicted profit value includes:

[0128] Pre-storing the first hourly output curve information, the second hourly output curve information, the first hourly electricity selling price curve, the hourly electricity purchasing price curve, and the second hourly electricity selling price curve in the forecast revenue calculation sub-model;

[0129] The forecast revenue calculation sub-model obtains the first hourly output curve of the wind power station under the first design installed capacity and the second hourly output curve of the photovoltaic power station under the second design installed capacity during the design life cycle based on the input design capacity information and the pre-stored first hourly output curve information and second hourly output curve information;

[0130] The forecast revenue calculation sub-model calculates the first operating revenue value of the corresponding wind-solar storage and pumping system in each year within the design life cycle based on the obtained first hourly output curve and second hourly output curve, the input hourly power generation curve and hourly pumping load curve, and the pre-stored first hourly electricity sales price curve, hourly electricity purchase price curve and second hourly electricity sales price curve;

[0131] The predicted profit calculation sub-model calculates a first predicted profit value based on the input construction and operation cost information and the obtained first operation profit value.

[0132] Specifically, in this embodiment 1, the construction and operation and maintenance cost information includes the construction cost value of the wind-solar-water storage and pumping system and the annual operation and maintenance cost value of the wind-solar-water storage and pumping system within the design life cycle;

[0133] The first predicted return value is calculated using the following formula:

[0134]

[0135] Where r is the discount rate; N is the design life cycle of the wind-solar water storage and pumping system; F i1 is the first operating income value of the wind-solar water storage and pumping system in the i-th year within the design life cycle; Fi2 is the operation and maintenance cost value of the wind-solar water storage and extraction system in the i-th year within the design life cycle; It is the construction cost of the wind and solar water storage and pumping system.

[0136] Specifically, in this embodiment 1, the annual operation and maintenance cost of the wind-solar water storage and pumping system during the design life cycle is calculated using the following formula:

[0137]

[0138] Among them, F i2 is the operation and maintenance cost value of the wind-solar water storage and extraction system in the i-th year within the design life cycle; is the first predicted operation and maintenance cost value of the wind power station in the i-th year within the design life cycle; is the second predicted operation and maintenance cost value of the PV power station in the i-th year within the design life cycle; is the third predicted operation and maintenance cost value of the pumped storage power station in year i during the design life cycle;

[0139] The first predicted annual operation and maintenance cost of a wind power station during its design lifecycle is calculated using the following formula:

[0140]

[0141] in, is the first predicted operation and maintenance cost value of the wind power station in year i; is the empirical function of the operation and maintenance cost of the wind power station in the i-th year; P W Design installed capacity for the first time;

[0142] The second predicted annual operation and maintenance cost of the photovoltaic power station during the design life cycle is calculated using the following formula:

[0143]

[0144] in, is the second predicted operation and maintenance cost value of the PV power station in year i; is the empirical function of the operation and maintenance cost of the photovoltaic power station in the i-th year; P S Design installed capacity for the second;

[0145] The third predicted annual operation and maintenance cost value of the pumped storage power station during the design life cycle is calculated using the following formula:

[0146]

[0147] in, is the third predicted operation and maintenance cost value of the pumped storage power station in year i; is the empirical function of the operation and maintenance cost of the pumped storage power station in year i; P PSThe third designed installed capacity; V PS Design storage capacity.

[0148] Specifically, in this embodiment 1, the construction cost of the wind-solar water storage and pumping system is calculated using the following formula:

[0149]

[0150] in, The construction cost of the wind and solar water storage and extraction system; is the first predicted construction cost value of the wind power station; is the second predicted construction cost value of the photovoltaic power station; This is the third predicted construction cost value of the pumped storage power station.

[0151] Specifically, in this embodiment 1, a construction and operation cost calculation sub-model is established based on location information;

[0152] The first predicted construction cost of the wind power station is calculated using the following formula:

[0153]

[0154] in, is the first predicted construction cost value of the wind power station; is the fixed construction cost value of the wind power station; is the variable construction cost value of the wind power station at the first designed installed capacity; is the other construction cost value of the wind power station.

[0155] The variable construction cost of the wind power station under the first design installed capacity is calculated using the following formula:

[0156]

[0157] in, is the variable construction cost value of the wind power station at the first designed installed capacity; is the empirical function of the main construction cost of the wind power station; g T1 (D,P W ) is the empirical function of the construction cost of the transmission line project of the wind power station; P W The first designed installed capacity; D W is the transmission line distance of the wind power station;

[0158] Among them, the transmission line distance D of the wind power station is W Calculated based on location information.

[0159] Generally speaking, the construction cost of a wind power station mainly includes fixed costs such as pre-development costs and environmental protection measures (that is, the fixed construction cost value of the wind power station). ), and the installed capacity (that is, the first designed installed capacity P W ) and the transmission line distance (that is, the transmission line distance D of the wind power station W ) related equipment and installation engineering costs, construction engineering costs, transmission line engineering costs and other variable costs (that is, the variable construction cost value of the wind power station under the first design installed capacity) ), as well as other costs such as construction land fees, construction management fees, survey and design fees (other construction costs of wind power stations ), so the above formula can be used to accurately calculate the first predicted construction cost value of the wind power station under the first design installed capacity.

[0160] Specifically, in this embodiment 1, a construction and operation cost calculation sub-model is established based on location information;

[0161] The second predicted construction cost value of the photovoltaic power station is calculated using the following formula:

[0162]

[0163] in, is the second predicted construction cost value of the photovoltaic power station; is the fixed construction cost value of the photovoltaic power station; is the variable construction cost value of the photovoltaic power station under the second design installed capacity; is the other construction cost value of the photovoltaic power station.

[0164] The variable construction cost of the photovoltaic power station under the second design installed capacity is calculated using the following formula:

[0165]

[0166] in, is the variable construction cost value of the photovoltaic power station under the second design installed capacity; is the empirical function of the main construction cost of the photovoltaic power station; g T2 (D S ,P S ) is the empirical function of the construction cost of the transmission line project of the photovoltaic power station; P S The second designed installed capacity; D S is the transmission line distance of the photovoltaic power station;

[0167] Among them, the transmission line distance D of the photovoltaic power station S Calculated based on location information.

[0168] Generally speaking, the construction cost of a photovoltaic power station mainly includes fixed costs such as pre-development costs and environmental protection measures (that is, the fixed construction cost value of the photovoltaic power station). ), and the installed capacity (that is, the second designed installed capacity P S ) and the transmission line distance (that is, the transmission line distance D of the photovoltaic power station S ) related equipment and installation engineering costs, construction engineering costs, transmission line engineering costs and other variable costs (that is, the variable construction cost value of the photovoltaic power station under the second design installed capacity) ), as well as other costs such as construction land fees, construction management fees, survey and design fees (other construction costs of photovoltaic power stations ), so the above formula can be used to accurately calculate the second predicted construction cost value of the photovoltaic power station under the second design installed capacity.

[0169] Specifically, in this embodiment 1, a construction and operation cost calculation sub-model is established based on location information;

[0170] The third estimated construction cost of the pumped storage power station is calculated using the following formula:

[0171]

[0172] in, is the third predicted construction cost value of the pumped storage power station; is the fixed construction cost value of the pumped storage power station; is the variable construction cost value of the pumped storage power station under the third design installed capacity and design storage capacity; is the other construction cost value of the pumped storage power station.

[0173] The variable construction cost of the pumped storage power station under the third design installed capacity and design storage capacity is calculated using the following formula:

[0174]

[0175] in, is the variable construction cost value of the pumped storage power station under the third design installed capacity and design storage capacity; is the empirical function of the main construction cost of the pumped storage power station; g T3 (D PS ,P PS ) is the empirical function of the construction cost of the transmission line of the pumped storage power station; P PS The third designed installed capacity; V PS is the designed storage capacity; D PS is the transmission line distance of the pumped storage power station;

[0176] Among them, the transmission line distance D of the pumped storage power station isPS Calculated based on location information.

[0177] Generally speaking, the construction cost of a pumped storage power station mainly includes fixed costs such as pre-development costs and environmental protection measures (that is, the fixed construction cost value of a pumped storage power station). ), and the installed capacity (that is, the third design installed capacity P PS ), storage capacity (also known as the designed storage capacity V PS ) and the transmission line distance (i.e. the transmission line distance D of the pumped storage power station PS ) variable cost (i.e. the variable construction cost value of the pumped storage power station under the third design installed capacity and design storage capacity) ), and other costs (other construction costs of pumped storage power stations ), so the above formula can be used to accurately calculate the third predicted construction cost value of the pumped-storage power station under the third design installed capacity and design reservoir capacity.

[0178] Specifically, in this embodiment 1, the predicted revenue calculation sub-model calculates the second annual operating revenue value of the wind power station and the photovoltaic power station within the design life cycle, the third annual predicted revenue value of the pumped-storage power station, and the predicted annual pumping power purchase cost value of the pumped-storage power station based on the obtained first hourly output curve and the second hourly output curve, the input hourly power generation curve and the hourly pumping load curve, and the pre-stored first hourly electricity sales price curve, the hourly electricity purchase price curve, and the second hourly electricity sales price curve.

[0179] The predicted income calculation sub-model calculates the first operating income value of the corresponding wind-solar storage and pumping system every year within the design life cycle based on the obtained second operating income value, the third predicted income value and the predicted pumping power purchase cost value;

[0180] The first annual operating income value of the wind-solar water storage and pumping system during the design life cycle is calculated using the following formula:

[0181]

[0182] Among them, F i1 The first operating income value of the wind-solar water storage and extraction system in the i-th year within the design life cycle; is the second operating income value of the wind power station and photovoltaic power station in the i-th year within the design life cycle; is the third operating income value of the pumped storage power station in the i-th year within the design life cycle; is the predicted pumping electricity purchase cost value of the pumped storage power station in the i-th year during the design life cycle.

[0183] The method for the predicted revenue calculation sub-model to calculate the second operating revenue value of the wind power station and the photovoltaic power station each year, the third operating revenue value of the pumped storage power station each year, and the predicted pumping power purchase cost value of the pumped storage power station each year within the design life cycle based on the obtained first hourly output curve and the second hourly output curve, the input hourly power generation curve and the hourly pumping load curve, and the pre-stored first hourly electricity sales price curve, the hourly electricity purchase price curve, and the second hourly electricity sales price curve includes multiple schemes, including but not limited to:

[0184] Option 1:

[0185] The forecast revenue calculation sub-model obtains the hourly output matrix of the wind power station at the first design installed capacity for each year during the design life cycle based on the obtained first hourly output curve;

[0186] The forecast revenue calculation sub-model obtains the hourly output matrix of the photovoltaic power station at the second design installed capacity for each year during the design life cycle based on the obtained second hourly output curve;

[0187] The forecast revenue calculation sub-model obtains the hourly output matrix of the pumped storage power station for each year under the third design installed capacity and design storage capacity within the design life cycle based on the input hourly power generation curve;

[0188] The forecast revenue calculation sub-model obtains the hourly pumping load matrix of the pumped storage power station under the third design installed capacity and design reservoir capacity for each year during the design life cycle based on the input hourly pumping load curve;

[0189] The forecast revenue calculation sub-model obtains the annual hourly electricity sales price matrix for each year of the wind power station and photovoltaic power station within the design life cycle, as well as the annual hourly electricity purchase price matrix and annual hourly electricity sales price matrix for each year of the pumped storage power station, based on the pre-stored first hourly electricity sales price curve, hourly electricity purchase price curve, and second hourly electricity sales price curve.

[0190] The predicted revenue calculation sub-model calculates the second operating revenue value of the wind power station and the photovoltaic power station, the third operating revenue value of the pumped storage power station, and the predicted annual pumping power purchase cost value of the pumped storage power station within the design life cycle based on the obtained annual hourly output matrix of the wind power station under the first design installed capacity, the annual hourly output matrix of the photovoltaic power station under the second design installed capacity, the annual hourly output matrix and the annual hourly pumping load matrix of the pumped storage power station under the third design installed capacity and design reservoir capacity, the annual hourly electricity sales price matrix of the wind power station and the photovoltaic power station, and the annual hourly electricity purchase price matrix and the annual hourly electricity sales price matrix of the pumped storage power station.

[0191] The annual second operating income of wind power stations and photovoltaic power stations is calculated using the following formula:

[0192] exist hour,

[0193] The annual predicted cost of pumped electricity for a pumped storage power station is calculated using the following formula:

[0194] exist hour,

[0195] The annual third operating income value of the pumped storage power station is calculated using the following formula:

[0196]

[0197] in, is the second operating income value of the wind power station and photovoltaic power station in the i-th year; is the predicted cost of pumped electricity for the pumped storage power station in year i; is the third predicted profit value of the pumped storage power station in year i; The hourly electricity price matrix for the wind power station and photovoltaic power station in the i-th year of the design life cycle; is the hourly electricity purchase price matrix for the entire year in year i of the pumped storage power station during the design lifecycle; The hourly electricity price matrix for the pumped storage power station in year i during the design life cycle; is the hourly output matrix of the wind power station in the first design installed capacity in the i-th year during the design life cycle; is the annual hourly output matrix of the PV power station in the second design installed capacity in the i-th year within the design life cycle; is the hourly pumping load matrix of the pumped storage power station in the third design installed capacity and design reservoir capacity in the i-th year during the design life cycle; is the hourly output matrix of the pumped storage power station in the third design installed capacity and design storage capacity in the i-th year during the design life cycle; is the capacity electricity price of the pumped storage power station in the i-th year under the third design installed capacity and design storage capacity during the design life cycle; P PS Design installed capacity for the third.

[0198] Option 2:

[0199] The forecast revenue calculation sub-model obtains the power generation of the wind power station in each unit time period of each year under the first design installed capacity within the design life cycle based on the obtained first hourly output curve;

[0200] The forecast revenue calculation sub-model obtains the power generation of the photovoltaic power station in each unit time period of each year under the second design installed capacity within the design life cycle based on the obtained second hourly output curve;

[0201] The forecast revenue calculation sub-model obtains the power generation of each unit time period each year under the third design installed capacity and design storage capacity during the design life cycle based on the input hourly power generation curve.

[0202] The forecast revenue calculation sub-model obtains the annual pumping power consumption of the pumped storage power station in each unit time period under the third design installed capacity and design storage capacity within the design life cycle based on the input hourly pumping load curve;

[0203] The forecast revenue calculation sub-model obtains the electricity sales price for each unit time period of each year for the wind power station and photovoltaic power station within the design life cycle, as well as the electricity purchase price and electricity sales price for each unit time period of each year for the pumped storage power station, based on the pre-stored first hourly electricity sales price curve, hourly electricity purchase price curve, and second hourly electricity sales price curve.

[0204] The forecast revenue calculation sub-model calculates the revenue values ​​of the wind power station and the photovoltaic power station in each unit time period each year, the revenue values ​​of the pumped storage power station in each unit time period each year, and the pumping cost values ​​of the pumped storage power station in each unit time period each year based on the obtained power generation of the wind power station in each unit time period each year at the first design installed capacity, the power generation of the photovoltaic power station in each unit time period each year at the second design installed capacity, the power generation and pumping power consumption of the pumped storage power station in each unit time period each year at the third design installed capacity and design reservoir capacity, the electricity sales prices of the wind power station and the photovoltaic power station in each unit time period each year, and the electricity purchase price and electricity sales price of the pumped storage power station in each unit time period each year.

[0205] The predicted revenue calculation sub-model calculates the second operating revenue value of the wind power station and photovoltaic power station, the third operating revenue value of the pumped storage power station, and the predicted annual pumping power purchase cost value of the pumped storage power station within the design life cycle based on the calculated revenue values ​​of the wind power station and photovoltaic power station for each unit time period each year, the revenue values ​​of the pumped storage power station for each unit time period each year, and the pumping cost value of the pumped storage power station for each unit time period each year within the design life cycle;

[0206] The annual revenue of wind power plants and photovoltaic power plants in each unit period is calculated using the following formula:

[0207] exist hour,

[0208] The pumping cost value of each unit period of each year for a pumped storage power station is calculated using the following formula:

[0209] exist hour,

[0210] The annual revenue value of a pumped storage power station in each unit period is calculated using the following formula:

[0211]

[0212] in, is the revenue value of the wind power station and photovoltaic power station in the tth unit period in the i-th year; is the pumping cost value of the pumped storage power station in the t-th unit period in the i-th year; is the revenue value of the pumped storage power station in the tth unit period in the i-th year; is the electricity price of the wind power station and photovoltaic power station in the tth unit period in the i-th year during the design life cycle; is the electricity purchase price for the tth unit period in the i-th year of the pumped storage power station during the design life cycle; is the electricity sales price of the pumped storage power station in the tth unit period in the i-th year during the design life cycle; The power generation of the wind power station in the tth unit period in the i-th year during the design life cycle at the first design installed capacity; The power generation of the PV power station in the tth unit period in the i-th year during the design life cycle at the second design installed capacity; is the pumping electricity consumption of the pumped storage power station in the tth unit period in the i-th year under the third design installed capacity and design storage capacity during the design life cycle; is the power generation of the pumped storage power station in the tth unit period in the i-th year during the design life cycle under the third design installed capacity and design storage capacity; is the capacity electricity price of the pumped storage power station in the tth unit period of the i-th year under the third design installed capacity and design storage capacity during the design life cycle; P PS Design installed capacity for the third.

[0213] Specifically, in this embodiment 1, in step 2, the wind-solar-storage-and-pumping system simulation operation sub-model performs simulation operation based on the input design capacity information and in combination with the set constraints to obtain the hourly power generation curve and hourly pumping load curve of the pumped storage power station of the wind-solar-storage-and-pumping system corresponding to the design capacity information;

[0214] Constraints include electricity balance constraints, water balance constraints, reservoir capacity and water level constraints, and irrigation water constraints.

[0215] Among them, the power balance constraint is:

[0216] exist hour

[0217]

[0218] in, The electricity consumption of the wind-solar-storage-and-lift system in the tth unit period in the i-th year during the design life cycle; The power generation of the wind-solar-storage-and-lift system in the tth unit period in the i-th year during the design life cycle; The power generation of the wind power station in the tth unit period in the i-th year during the design life cycle at the first design installed capacity; The power generation of the PV power station in the tth unit period in the i-th year during the design life cycle at the second design installed capacity; is the pumping electricity consumption of the pumped storage power station in the tth unit period in the i-th year under the third design installed capacity and design storage capacity during the design life cycle; It is the power generation of the pumped storage power station in the tth unit period in the i-th year under the third design installed capacity and design storage capacity during the design life cycle.

[0219] The water balance constraint is:

[0220]

[0221] Among them, V i,t is the storage capacity of the upper reservoir of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; V i,t+1 is the storage capacity of the upper reservoir of the pumped storage power station in the t+1th unit period in the i-th year during the design life cycle, in m 3 ; is the pumped water volume of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; is the amount of water released for power generation in the tth unit period of the i-th year of the pumped storage power station during its design life cycle, in m 3 ; is the irrigation water volume of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; The pumping power consumption of the pumped storage power station in the tth unit period in the i-th year during the design life cycle; the unit is kilowatt; H is the discharge power generation power of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in kilowatts; P is the pumping head of the pumped storage power station, in meters; HT is the generating head of the pumped storage power station, in meters; μ P is the pumping efficiency of the pumped storage power station; μ T is the power generation efficiency of the pumped storage power station; ρ W is the density of water; g is the acceleration due to gravity.

[0222] Among them, the storage capacity and water level constraints are:

[0223] V min <V i,t <V max

[0224] Z min <Z i,t <Z max

[0225] Among them, V i,i is the storage capacity of the upper reservoir of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; V min V is the minimum storage capacity of the upper reservoir of the pumped storage power station; max is the maximum storage capacity of the upper reservoir of the pumped storage power station; Z i,t is the water level of the upper reservoir of the pumped storage power station in the tth unit period in the i-th year during the design life cycle; Z min is the lowest water level of the upper reservoir of the pumped storage power station; Z max It is the highest water level of the upper reservoir of the pumped storage power station.

[0226] The irrigation water constraints are:

[0227]

[0228] in, is the irrigation water volume of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; is the irrigation water demand of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 .

[0229] Example 2:

[0230] Based on the capacity configuration method of the wind-solar water storage and pumping system provided in Example 1, Example 2 provides a capacity configuration system of the wind-solar water storage and pumping system, including a processing circuit and a memory electrically coupled thereto, the memory being configured to store at least one program, the program including multiple instructions, the processing circuit running the program, and the capacity configuration system of the wind-solar water storage and pumping system provided in Example 2 being used to execute the steps in the capacity configuration method of the wind-solar water storage and pumping system provided in Example 1.

[0231] The capacity configuration method and system of the wind-solar water storage and pumping system provided by the present invention have at least the following technical effects or advantages:

[0232] 1. Use the capacity configuration calculation model to perform simulation and calculation according to the input design capacity information to obtain the first predicted benefit value of the corresponding wind-solar storage and pumping system, and then take the maximum first predicted benefit value as the optimization goal. Based on the capacity range information and with the design capacity information as the control variable, perform iterative simulation calculation to obtain the first optimal installed capacity of the wind power station, the second optimal installed capacity of the photovoltaic power station, and the third optimal installed capacity and optimal storage capacity of the pumped storage power station; when the capacity configuration method of the wind-solar storage and pumping system provided by the present invention is used to design the wind-solar storage and pumping system, the benefits of the wind-solar storage and pumping system with different capacity configurations can be accurately evaluated, and the capacity configuration is fully optimized for the full life cycle benefits of the wind-solar storage and pumping system, which solves the technical problem that the existing wind-solar storage and pumping system fails to fully optimize the capacity configuration for the full life cycle benefits of the wind-solar storage and pumping system.

[0233] 2. By simulating the wind-solar-storage-and-lifting system, the hourly power generation curve and hourly pumping load curve of the pumped-storage power station can be obtained based on the first hourly output curve information, the second hourly output curve information, the design parameters and the irrigation water demand curve during the simulation process; the predicted profit calculation sub-model can calculate the power generation profit and pumping electricity cost of the wind-solar-storage-and-lifting system through the input design capacity information, hourly power generation curve and hourly pumping load curve, as well as the pre-stored first hourly output curve information, the second hourly output curve information, the first hourly electricity sales price curve, the hourly electricity purchase price curve and the second hourly electricity sales price curve. Combined with the input construction and operation cost information, the first predicted profit value of the wind-solar-storage-and-lifting system corresponding to the design capacity information can be accurately predicted, thereby realizing an accurate evaluation of the profit of wind-solar-storage-and-lifting systems with different capacity configurations.

[0234] The above are only specific application examples of the present invention and do not constitute any limitation to the protection scope of the present invention. Any technical solutions formed by equivalent transformation or equivalent replacement shall fall within the protection scope of the present invention.

Claims

1. A capacity configuration method for a wind-solar water storage and pumping system, characterized in that: include: Obtaining location information and capacity range information of wind power stations, photovoltaic power stations, and pumped-storage power stations within the planning area, and obtaining first hourly output curve information of the wind power stations in a typical year at different installed capacities, second hourly output curve information of the photovoltaic power stations in a typical year at different installed capacities, and design parameters of the pumped-storage power stations in different installed capacities and different reservoir capacities, and obtaining an irrigation water demand curve for a typical year in the planning area, first hourly electricity sales price curves for the wind power stations and the photovoltaic power stations in a typical year, and hourly electricity purchase price curves and second hourly electricity sales price curves for the pumped-storage power station in a typical year; Establishing a capacity configuration calculation model for the wind-solar water storage and pumping system based on the location information, the first hourly output curve information, the second hourly output curve information, the design parameters, the irrigation water demand curve, the first hourly electricity sales price curve, the hourly electricity purchase price curve, and the second hourly electricity sales price curve; Inputting the design capacity information of the wind-solar-water storage and pumping system into the capacity configuration calculation model, the capacity configuration calculation model obtaining, through simulation and calculation, a first predicted revenue value of the wind-solar-water storage and pumping system corresponding to the design capacity information based on the input design capacity information; The capacity configuration calculation model takes maximizing the first predicted profit value as an optimization goal, performs iterative simulation calculations based on the capacity range information and with the design capacity information as a control variable, and obtains the first optimal installed capacity of the wind power station, the second optimal installed capacity of the photovoltaic power station, and the third optimal installed capacity and optimal storage capacity of the pumped-storage power station.

2. The capacity configuration method of the wind-solar water storage and pumping system according to claim 1, characterized in that: The design capacity information includes a first design installed capacity of the wind power station, a second design installed capacity of the photovoltaic power station, and a third design installed capacity and a design storage capacity of the pumped storage power station.

3. The capacity configuration method of the wind-solar water storage and pumping system according to claim 2, characterized in that: The capacity configuration calculation model includes a construction and operation and maintenance cost calculation sub-model, a wind and solar water storage and pumping system simulation operation sub-model, and a predicted income calculation sub-model; The method for obtaining the first predicted return value through simulation and calculation includes the following steps: Step 1: inputting the design capacity information into the construction and operation cost calculation sub-model, the wind-solar-water storage and pumping system simulation operation sub-model, and the predicted income calculation sub-model; Step 2: The construction and operation cost calculation sub-model calculates the construction and operation cost information of the wind-solar storage and pumping system corresponding to the design capacity information based on the input design capacity information, and the wind-solar storage and pumping system simulation operation sub-model performs simulation operation based on the input design capacity information to obtain the hourly power generation curve and hourly pumping load curve of the pumped storage power station of the wind-solar storage and pumping system corresponding to the design capacity information; Step 3: Transmitting the obtained construction and operation cost information, the hourly power generation curve, and the hourly pumping load curve to the predicted revenue calculation sub-model as input; Step 4: The predicted profit calculation sub-model calculates the first predicted profit value of the corresponding wind-solar storage and pumping system based on the input design capacity information, the construction and operation cost information, the hourly power generation curve and the hourly pumping load curve, and completes a round of iterative simulation calculation.

4. The capacity configuration method of the wind-solar water storage and pumping system according to claim 3, characterized in that: The method for calculating the first predicted profit value by the predicted profit calculation sub-model includes: Pre-storing the first hourly output curve information, the second hourly output curve information, the first hourly electricity selling price curve, the hourly electricity purchasing price curve, and the second hourly electricity selling price curve in the predicted revenue calculation sub-model; The predicted revenue calculation sub-model obtains, based on the input design capacity information and the pre-stored first hourly output curve information and the second hourly output curve information, a first hourly output curve of the wind power station each year at the first design installed capacity and a second hourly output curve of the photovoltaic power station each year at the second design installed capacity within a design life cycle; The predicted revenue calculation sub-model calculates a first operating revenue value of the corresponding wind-solar storage and pumping system in each year within the design life cycle based on the obtained first hourly output curve and the second hourly output curve, the input hourly power generation curve and the hourly pumping load curve, and the pre-stored first hourly electricity sales price curve, the hourly electricity purchase price curve, and the second hourly electricity sales price curve; The predicted profit calculation sub-model calculates the first predicted profit value based on the input construction and operation cost information and the obtained first operation profit value.

5. The capacity configuration method of the wind-solar water storage and pumping system according to claim 4, characterized in that: The construction and operation and maintenance cost information includes the construction cost value of the wind-solar-water storage and pumping system and the annual operation and maintenance cost value of the wind-solar-water storage and pumping system during the design life cycle; The first predicted return value is calculated using the following formula: Where r is the discount rate; N is the design life cycle of the wind-solar water storage and pumping system; F i1 F is the first operating income value of the wind-solar water storage and extraction system in the i-th year within the design life cycle; i2 The operation and maintenance cost value of the wind-solar water storage and extraction system in the i-th year within the design life cycle; is the construction cost of the wind-solar water storage and pumping system.

6. The capacity configuration method of the wind-solar water storage and pumping system according to claim 5, characterized in that: The annual operation and maintenance cost of the wind-solar water storage and pumping system during the design life cycle is calculated using the following formula: Among them, F i2 The operation and maintenance cost value of the wind-solar water storage and extraction system in the i-th year within the design life cycle; is the first predicted operation and maintenance cost value of the wind power station in the i-th year within the design life cycle; is the second predicted operation and maintenance cost value of the photovoltaic power station in the i-th year within the design life cycle; The third predicted operation and maintenance cost value of the pumped-storage power station in the i-th year within the design life cycle; The first predicted annual operation and maintenance cost value of the wind power station during the design life cycle is calculated using the following formula: in, is the first predicted operation and maintenance cost value of the wind power station in year i; is the empirical function of the operation and maintenance cost of the wind power station in the i-th year; P W Design the installed capacity for the first step; The second predicted annual operation and maintenance cost value of the photovoltaic power station during the design life cycle is calculated using the following formula: in, is the second predicted operation and maintenance cost value of the photovoltaic power station in year i; is the empirical function of the operation and maintenance cost of the photovoltaic power station in the i-th year; P S Design the installed capacity for the second one; The third predicted operation and maintenance cost value of the pumped storage power station each year during the design life cycle is calculated using the following formula: in, is the third predicted operation and maintenance cost value of the pumped-storage power station in year i; is the empirical function of the operation and maintenance cost of the pumped storage power station in the i-th year; P PS is the third designed installed capacity; V PS is the designed storage capacity.

7. The capacity configuration method of the wind-solar water storage and pumping system according to claim 5, characterized in that: The construction cost of the wind-solar water storage and pumping system is calculated using the following formula: in, is the construction cost of the wind-solar water storage and extraction system; A first predicted construction cost value of the wind power station; A second predicted construction cost value of the photovoltaic power station; is a third predicted construction cost value of the pumped-storage power station.

8. The capacity configuration method of the wind-solar water storage and pumping system according to claim 7, characterized in that: Establishing the construction and operation cost calculation sub-model based on the location information; The first predicted construction cost value of the wind power station is calculated using the following formula: in, A first predicted construction cost value of the wind power station; is the fixed construction cost value of the wind power station; is the variable construction cost value of the wind power station under the first designed installed capacity; are other construction cost values ​​of the wind power station. The variable construction cost of the wind power station under the first designed installed capacity is calculated using the following formula: in, is the variable construction cost value of the wind power station under the first designed installed capacity; (P W ) is the empirical function of the main construction cost of the wind power station; g T1 (D,P W ) is the empirical function of the construction cost of the transmission line project of the wind power station; P W The first designed installed capacity; D W is the transmission line distance of the wind power station; The transmission line distance D of the wind power station is W Calculated according to the position information.

9. The capacity configuration method of the wind-solar water storage and pumping system according to claim 7, characterized in that: Establishing the construction and operation cost calculation sub-model based on the location information; The second predicted construction cost value of the photovoltaic power station is calculated using the following formula: in, A second predicted construction cost value of the photovoltaic power station; is the fixed construction cost value of the photovoltaic power station; is the variable construction cost value of the photovoltaic power station under the second designed installed capacity; are other construction cost values ​​of the photovoltaic power station. The variable construction cost of the photovoltaic power station under the second designed installed capacity is calculated using the following formula: in, is the variable construction cost value of the photovoltaic power station under the second designed installed capacity; (P S ) is the empirical function of the main construction cost of the photovoltaic power station; g T2 (D S ,P S ) is the empirical function of the construction cost of the transmission line engineering of the photovoltaic power station; P S The second designed installed capacity; D S is the transmission line distance of the photovoltaic power station; The transmission line distance D of the photovoltaic power station is S Calculated according to the position information.

10. The capacity configuration method of the wind-solar water storage and pumping system according to claim 7, characterized in that: Establishing the construction and operation cost calculation sub-model based on the location information; The third predicted construction cost value of the pumped storage power station is calculated using the following formula: in, A third predicted construction cost value of the pumped-storage power station; is the fixed construction cost value of the pumped storage power station; is the variable construction cost value of the pumped-storage power station under the third designed installed capacity and the designed storage capacity; are other construction cost values ​​of the pumped storage power station. The variable construction cost of the pumped storage power station under the third designed installed capacity and the designed storage capacity is calculated using the following formula: in, is the variable construction cost value of the pumped-storage power station under the third designed installed capacity and the designed storage capacity; is the empirical function of the main construction cost of the pumped storage power station; g T3 (D PS ,P PS ) is the empirical function of the construction cost of the transmission line engineering of the pumped storage power station; P PS is the third designed installed capacity; V PS is the designed storage capacity; D PS is the transmission line distance of the pumped storage power station; The transmission line distance D of the pumped storage power station is PS Calculated according to the position information.

11. The capacity configuration method of the wind-solar water storage and pumping system according to claim 4, characterized in that: The predicted revenue calculation sub-model calculates, based on the obtained first hourly output curve and the second hourly output curve, the input hourly power generation curve and the hourly pumping load curve, and the pre-stored first hourly electricity sales price curve, the hourly electricity purchase price curve, and the second hourly electricity sales price curve, the second hourly electricity sales price curve to obtain the second operating revenue value of the wind power station and the photovoltaic power station each year, the third predicted revenue value of the pumped-storage power station each year, and the predicted pumping power purchase cost value of the pumped-storage power station each year within the design life cycle; The predicted benefit calculation sub-model calculates the first operating benefit value of the corresponding wind-solar storage and pumping system in each year within the design life cycle based on the obtained second operating benefit value, the third predicted benefit value and the predicted pumping power purchase cost value; The first annual operating income value of the wind-solar water storage and extraction system during the design life cycle is calculated using the following formula: Among them, F i1 The first operating income value of the wind-solar water storage and extraction system in the i-th year within the design life cycle; is the second operating income value of the wind power station and the photovoltaic power station in the i-th year within the design life cycle; The third operating income value of the pumped-storage power station in the i-th year within the design life cycle; is the predicted pumping power purchase cost value of the pumped storage power station in the i-th year within the design life cycle.

12. The capacity configuration method of the wind-solar water storage and pumping system according to claim 3, characterized in that: In step 2, the wind-solar-storage-and-pumping system simulation operation sub-model performs simulation operation according to the input design capacity information and in combination with set constraints to obtain the hourly power generation curve and hourly pumping load curve of the pumped-storage power station of the wind-solar-storage-and-pumping system corresponding to the design capacity information; The constraints include electricity balance constraints, water balance constraints, reservoir capacity and water level constraints, and irrigation water constraints.

13. The capacity configuration method of the wind-solar water storage and pumping system according to claim 12, characterized in that: The power balance constraint is: in, The electricity consumption of the wind-solar-water storage and pumping system in the tth unit period in the i-th year within the design life cycle; The power generation of the wind-solar-water storage and pumping system in the tth unit period in the i-th year within the design life cycle; The power generation of the wind power station in the tth unit period in the i-th year within the design life cycle at the first design installed capacity; The power generation of the photovoltaic power station in the tth unit period in the i-th year within the design life cycle at the second design installed capacity; The pumping electricity consumption of the pumped-storage power station in the t-th unit period in the i-th year within the design life cycle under the third design installed capacity and the design storage capacity; It is the power generation of the pumped-storage power station in the tth unit time period in the i-th year within the design life cycle under the third design installed capacity and the design storage capacity.

14. The capacity configuration method of the wind-solar water storage and pumping system according to claim 12, characterized in that: The water balance constraint is: Among them, V i,t The water capacity of the upper reservoir of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; V i,t+1 The water capacity of the upper reservoir of the pumped storage power station in the t+1th unit period of the i-th year during the design life cycle, in m 3 ; is the pumped water volume of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; The amount of water released for power generation in the tth unit period of the pumped storage power station in the i-th year during the design life cycle, in m 3 ; The irrigation water volume of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; The pumping power consumption of the pumped storage power station in the tth unit period in the i-th year during the design life cycle; the unit is kilowatt; H is the discharge power generation power of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in kilowatts; P is the pumping head of the pumped storage power station, in meters; H T is the generating head of the pumped storage power station, in meters; μ P is the pumping efficiency of the pumped storage power station; μ T is the power generation efficiency of the pumped storage power station; ρ W is the density of water; g is the acceleration due to gravity.

15. The capacity configuration method of the wind-solar water storage and pumping system according to claim 12, characterized in that: The storage capacity and water level constraints are: In min <V i,t <V max WITH min <Z i,t <Z max Among them, V i,t The water capacity of the upper reservoir of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; V min V is the minimum storage capacity of the upper reservoir of the pumped storage power station; max is the maximum storage capacity of the upper reservoir of the pumped storage power station; Z i,t is the water level of the upper reservoir of the pumped storage power station in the tth unit period in the i-th year within the design life cycle; Z min is the lowest water level of the upper reservoir of the pumped storage power station; Z max It is the highest water level of the upper reservoir of the pumped storage power station.

16. The capacity configuration method of the wind-solar water storage and pumping system according to claim 12, characterized in that: The irrigation water constraints are: in, The irrigation water volume of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 ; The irrigation water demand of the pumped storage power station in the tth unit period in the i-th year during the design life cycle, in m 3 .

17. A capacity configuration system for a wind-solar water storage and pumping system, comprising a processing circuit and a memory electrically coupled thereto, characterized in that: The memory configuration stores at least one program, the program includes multiple instructions, the processing circuit runs the program, and the capacity configuration system of the wind-solar-storage-and-pumping system is used to execute the steps in the capacity configuration method of the wind-solar-storage-and-pumping system according to any one of claims 1-16.

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