Method for collaborative optimization of spatial layout and installed capacity of water-wind-solar complementary system

Abstract

This application relates to the field of clean and renewable energy utilization and reservoir scheduling technology, and particularly to a method for the coordinated optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system. The method includes: generating multiple candidate wind-solar planning strategies based on wind and solar resource data for each spatial grid in the target area of ​​the current hydropower station, conducting operational simulations, extracting the wind and solar absorption patterns corresponding to each candidate strategy, optimizing the scheduling of each candidate strategy, calculating a comprehensive evaluation score based on the optimization scheduling results, and obtaining the target wind-solar planning strategy. This solves the problems of existing wind and solar installed capacity planning strategies, such as a single evaluation dimension, inability to comprehensively and accurately identify the risks and benefits of wind and solar installed capacity planning, and failure to consider the optimal solution for the spatial layout of wind and solar resources. By conducting a coordinated quantitative evaluation of the benefits and risks of different spatial layouts and wind and solar installed capacity schemes throughout their entire lifecycle, it provides a decision-making basis for the long-term reliability and economic efficiency of the system.

Description

Technical Field

[0001] This application relates to the field of clean and renewable energy utilization and reservoir scheduling technology, and in particular to a method for the coordinated optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system. Background Technology

[0002] With the continuous rise in global energy consumption and increasing environmental awareness, the development and utilization of pollution-free renewable energy sources such as wind and solar power has become an important trend in the global energy industry. However, wind and solar power exhibit significant randomness and fluctuations in the short term, posing a series of technical and economic challenges to their large-scale application. Against this backdrop, integrated hydro-wind-solar systems have emerged. These systems combine hydropower, photovoltaics, and wind power generation to achieve complementary output of multiple clean energy sources, thereby improving the efficiency of clean energy use and the reliability of power supply. Therefore, how to optimize wind and solar power installation planning to maximize overall energy utilization efficiency and promote sustainable energy development and environmental protection has become a highly relevant research topic in the energy sector.

[0003] Existing research on wind and solar power installation planning often focuses only on analyzing the economic benefits or potential risks brought about by the installation, and most of them fail to consider short-term operation simulations and do not consider the optimal solution for the spatial layout of wind and solar resources. They cannot comprehensively and accurately identify the risks and benefits of wind and solar power installation planning for hydro-wind-solar hybrid systems, which urgently needs to be addressed. Summary of the Invention

[0004] This application provides a collaborative optimization method for the spatial layout and installed capacity of a hydro-wind-solar hybrid system. This method addresses the problems of existing wind and solar power planning studies, such as the single evaluation dimension, the inability to comprehensively and accurately identify the risks and benefits of wind and solar power planning, and the failure to consider the optimal solution for the spatial layout of wind and solar resources. Through refined short-term operation simulation, the method conducts a collaborative quantitative evaluation of the benefits and risks of different spatial layouts and wind and solar power capacity schemes throughout the entire life cycle, thereby providing a decision-making basis for the long-term reliability and economy of the system.

[0005] The first aspect of this application provides a method for the coordinated optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system, comprising the following steps: Obtain wind and solar resource data of the target area spatial grid of the current hydropower station, and generate multiple candidate wind and solar planning strategies based on the wind and solar resource data of each spatial grid; Run a simulation for each candidate landscape planning strategy and extract the landscape absorption pattern corresponding to each candidate landscape planning strategy; Based on the aforementioned wind and solar energy absorption law, each candidate wind and solar planning strategy is optimized and scheduled to obtain the optimized scheduling result. Based on the optimized scheduling result, the evaluation index of each candidate wind and solar planning strategy is calculated, and based on each evaluation index, the comprehensive evaluation score of each candidate wind and solar planning strategy is obtained. The candidate wind and solar planning strategy with the highest comprehensive evaluation score is selected as the target wind and solar planning strategy.

[0006] According to one embodiment of this application, before performing operational simulations on each candidate landscape planning strategy and extracting the landscape absorption pattern corresponding to each candidate landscape planning strategy, the method further includes: Multiple operating day scenarios are selected, each of which includes hourly load shape, average hydropower output, and wind and solar power output sequence. With the transmission channel capacity as a constraint, time-series simulation is performed on each operating day scenario to calculate the wind and solar power absorption ratio for each operating day scenario. Using the average hydropower output, average wind power output, and average photovoltaic output of each operating day scenario as input features, and the corresponding wind and solar power consumption ratio as output labels, a training sample set is constructed. The training sample set is trained using a proxy model based on the Transformer architecture. The model parameters of the proxy model are optimized using mean squared error as the loss function to obtain the trained proxy model. The trained proxy model is then used to simulate the operation of each candidate landscape planning strategy.

[0007] According to one embodiment of this application, the step of optimizing and scheduling each candidate wind and solar planning strategy based on the wind and solar energy absorption law includes: An optimized scheduling model is constructed, which takes the monthly water inflow and the original power output sequence of wind and solar power as inputs and takes the maximum total grid-connected electricity as the objective function. Constraints are set for the optimized scheduling model, including water balance constraints, reservoir capacity curve constraints, discharge capacity constraints, minimum output constraints, and power transmission channel capacity constraints. The wind and solar power absorption law is embedded into the optimization scheduling model. The optimization scheduling model is used to calculate the wind and solar power utilization rate based on the hydropower output and wind and solar power output of the decision in any scheduling period, so as to obtain the optimization scheduling result.

[0008] According to one embodiment of this application, the objective function is: ; in, The total on-grid power of the hydro-wind-solar hybrid system, For time indexing, Number of time periods per day The average output level of the hydropower station participating in compensation regulation. To calculate the length of the time period, Contributing to the sequence of wind and solar power, To contribute to the grid connection of wind and solar power that is coupled with the laws of wind and solar energy absorption.

[0009] According to one embodiment of this application, the step of calculating the evaluation index of each candidate landscape planning strategy based on the optimized scheduling result includes: Based on the optimized scheduling results, the water-wind-solar standard deviation complementarity rate of each candidate wind-solar planning strategy is calculated, and the water-wind-solar standard deviation complementarity rate is used as the output stability evaluation index. The net present value of the water-wind-solar hybrid system over its entire lifecycle is calculated based on the optimized scheduling results, and the net present value of the water-wind-solar hybrid system over its entire lifecycle is used as an economic evaluation index. The power transmission channel utilization rate is calculated based on the optimized scheduling results, and the power transmission channel utilization rate is used as an evaluation index of channel utilization efficiency. The power supply guarantee rate is calculated based on the optimized scheduling results, and the power supply guarantee rate is used as the power supply reliability evaluation index.

[0010] According to one embodiment of this application, the water-wind-solar standard deviation complementarity is: ; in, The complementarity rate of the standard deviation of water, wind and light. The standard deviation of total internet effort. Standard deviation of power output for hydropower grid connection, Standard deviation of wind power output to the grid. Standard deviation of power output for photovoltaic grid connection; The net present value of the hydro-wind-solar hybrid system over its entire lifecycle is: ; in, The net present value of the hydro-wind-solar hybrid system over its entire lifecycle. For time indexing, Number of time periods per day For the revenue generated during the wind power year, The discount rate is... For the unit cost of wind power installation, This refers to the total installed capacity of wind power. The unit cost of photovoltaic installations. This refers to the total installed capacity of photovoltaic power. The utilization rate of the power transmission channel is: ; in, To improve the utilization rate of power transmission channels, For time period Total internet usage For the capacity of the power transmission channel, This represents the total number of time periods; The power supply guarantee rate is: ; in, For power supply guarantee rate, To ensure output.

[0011] According to one embodiment of this application, obtaining the comprehensive evaluation score for each candidate landscape planning strategy based on each evaluation index includes: A first weighting coefficient is set for the output stability evaluation index, a second weighting coefficient is set for the economic evaluation index, a third weighting coefficient is set for the channel utilization efficiency evaluation index, and a fourth weighting coefficient is set for the power supply reliability evaluation index. Calculate the first product of the output stability evaluation index and the first weighting coefficient, calculate the second product of the economic evaluation index and the second weighting coefficient, calculate the third product of the channel utilization efficiency evaluation index and the third weighting coefficient, and calculate the fourth product of the power supply reliability evaluation index and the fourth weighting coefficient. The first product, the second product, the third product, and the fourth product corresponding to each candidate landscape planning strategy are summed to obtain the comprehensive evaluation score of each candidate landscape planning strategy.

[0012] According to the method for coordinated optimization of spatial layout and installed capacity of hydro-wind-solar hybrid systems provided in this application, multiple candidate wind-solar planning strategies are generated based on the wind and solar resource data of each spatial grid in the target area of ​​the current hydropower station. Operational simulations are then performed to extract the wind and solar absorption patterns corresponding to each candidate strategy. Each candidate strategy is then optimized and scheduled, and a comprehensive evaluation score is calculated based on the optimization scheduling results to obtain the target wind-solar planning strategy. This solves the problems of existing wind and solar installed capacity planning research, such as the single evaluation dimension, inability to comprehensively and accurately identify the risks and benefits of wind and solar installed capacity planning, and failure to consider the optimal solution for the spatial layout of wind and solar resources. Through refined short-term operational simulations, the benefits and risks of different spatial layouts and wind and solar installed capacity schemes are synergistically and quantitatively evaluated throughout the entire lifecycle, thereby providing a decision-making basis for the long-term reliability and economy of the system.

[0013] A second aspect of this application provides a device for the coordinated optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system, comprising: The acquisition module is used to acquire wind and solar resource data of the target area spatial grid of the current hydropower station, and generate multiple candidate wind and solar planning strategies based on the wind and solar resource data of each spatial grid. The simulation module is used to simulate the operation of each candidate landscape planning strategy and extract the landscape absorption pattern corresponding to each candidate landscape planning strategy. The optimization module is used to optimize and schedule each candidate wind and solar planning strategy according to the wind and solar absorption law, obtain the optimization scheduling result, calculate the evaluation index of each candidate wind and solar planning strategy according to the optimization scheduling result, and obtain the comprehensive evaluation score of each candidate wind and solar planning strategy according to each evaluation index, and take the candidate wind and solar planning strategy with the highest comprehensive evaluation score as the target wind and solar planning strategy.

[0014] According to one embodiment of this application, before performing a simulation on each candidate landscape planning strategy and extracting the landscape absorption pattern corresponding to each candidate landscape planning strategy, the simulation module is further configured to: Multiple operating day scenarios are selected, each of which includes hourly load shape, average hydropower output, and wind and solar power output sequence. With the transmission channel capacity as a constraint, time-series simulation is performed on each operating day scenario to calculate the wind and solar power absorption ratio for each operating day scenario. Using the average hydropower output, average wind power output, and average photovoltaic output of each operating day scenario as input features, and the corresponding wind and solar power consumption ratio as output labels, a training sample set is constructed. The training sample set is trained using a proxy model based on the Transformer architecture. The model parameters of the proxy model are optimized using mean squared error as the loss function to obtain the trained proxy model. The trained proxy model is then used to simulate the operation of each candidate landscape planning strategy.

[0015] According to one embodiment of this application, the optimization module is used for: An optimized scheduling model is constructed, which takes the monthly water inflow and the original power output sequence of wind and solar power as inputs and takes the maximum total grid-connected electricity as the objective function. Constraints are set for the optimized scheduling model, including water balance constraints, reservoir capacity curve constraints, discharge capacity constraints, minimum output constraints, and power transmission channel capacity constraints. The wind and solar power absorption law is embedded into the optimization scheduling model. The optimization scheduling model is used to calculate the wind and solar power utilization rate based on the hydropower output and wind and solar power output of the decision in any scheduling period, so as to obtain the optimization scheduling result.

[0016] According to one embodiment of this application, the objective function is: ; in, The total on-grid power of the hydro-wind-solar hybrid system, For time indexing, Number of time periods per day The average output level of the hydropower station participating in compensation regulation. To calculate the length of the time period, Contributing to the sequence of wind and solar power, To contribute to the grid connection of wind and solar power that is coupled with the laws of wind and solar energy absorption.

[0017] According to one embodiment of this application, the optimization module is used for: Based on the optimized scheduling results, the water-wind-solar standard deviation complementarity rate of each candidate wind-solar planning strategy is calculated, and the water-wind-solar standard deviation complementarity rate is used as the output stability evaluation index. The net present value of the water-wind-solar hybrid system over its entire lifecycle is calculated based on the optimized scheduling results, and the net present value of the water-wind-solar hybrid system over its entire lifecycle is used as an economic evaluation index. The power transmission channel utilization rate is calculated based on the optimized scheduling results, and the power transmission channel utilization rate is used as an evaluation index of channel utilization efficiency. The power supply guarantee rate is calculated based on the optimized scheduling results, and the power supply guarantee rate is used as the power supply reliability evaluation index.

[0018] According to one embodiment of this application, the water-wind-solar standard deviation complementarity is: ; in, The complementarity rate of the standard deviation of water, wind and light. The standard deviation of total internet effort. Standard deviation of power output for hydropower grid connection, Standard deviation of wind power output to the grid. Standard deviation of power output for photovoltaic grid connection; The net present value of the hydro-wind-solar hybrid system over its entire lifecycle is: ; in, The net present value of the hydro-wind-solar hybrid system over its entire lifecycle. For time indexing, Number of time periods per day For the revenue generated during the wind power year, The discount rate is... For the unit cost of wind power installation, This refers to the total installed capacity of wind power. The unit cost of photovoltaic installations. This refers to the total installed capacity of photovoltaic power. The utilization rate of the power transmission channel is: ; in, To improve the utilization rate of power transmission channels, For time period Total internet usage For the capacity of the power transmission channel, This represents the total number of time periods; The power supply guarantee rate is: ; in, For power supply guarantee rate, To ensure output.

[0019] According to one embodiment of this application, the optimization module is used for: A first weighting coefficient is set for the output stability evaluation index, a second weighting coefficient is set for the economic evaluation index, a third weighting coefficient is set for the channel utilization efficiency evaluation index, and a fourth weighting coefficient is set for the power supply reliability evaluation index. Calculate the first product of the output stability evaluation index and the first weighting coefficient, calculate the second product of the economic evaluation index and the second weighting coefficient, calculate the third product of the channel utilization efficiency evaluation index and the third weighting coefficient, and calculate the fourth product of the power supply reliability evaluation index and the fourth weighting coefficient. The first product, the second product, the third product, and the fourth product corresponding to each candidate landscape planning strategy are summed to obtain the comprehensive evaluation score of each candidate landscape planning strategy.

[0020] According to the embodiment of this application, the device for the coordinated optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system generates multiple candidate wind-solar planning strategies based on the wind and solar resource data of each spatial grid in the target area of ​​the current hydropower station. Operational simulations are then performed to extract the wind and solar absorption patterns corresponding to each candidate strategy. The device optimizes the scheduling of each candidate strategy and calculates a comprehensive evaluation score based on the optimization results to obtain the target wind-solar planning strategy. This solves the problems of existing wind and solar installed capacity planning studies, such as the single evaluation dimension, inability to comprehensively and accurately identify the risks and benefits of wind and solar installed capacity planning, and failure to consider the optimal solution for the spatial layout of wind and solar resources. Through refined short-term operational simulations, the device synergistically and quantitatively evaluates the benefits and risks of different spatial layouts and wind and solar installed capacity schemes throughout their entire lifecycle, thereby providing a decision-making basis for the long-term reliability and economy of the system.

[0021] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the program to implement the method for synergistic optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system as described in the above embodiments.

[0022] A fourth aspect of this application provides a computer-readable storage medium storing computer instructions for causing the computer to execute the collaborative optimization method for spatial layout and installed capacity of a hydro-wind-solar hybrid system as described in the above embodiments.

[0023] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) A short-term simulation surrogate model based on Transformer is introduced, which effectively solves the contradiction between computational accuracy and efficiency. The surrogate model learns the nonlinear mapping from the input sequence to the wind-solar absorption ratio, performs batch simulations on long sequence data, outputs and summarizes the wind-solar absorption law, thereby supporting the rapid evaluation of large-scale schemes; (2) It achieves precise integration of short-term wind and solar volatility with long-term scheduling strategies. Traditional long-term scheduling often struggles to capture instantaneous fluctuations in wind and solar resources, leading to assessment biases. This invention extracts the "wind and solar absorption pattern" and embeds short-term absorption characteristics into the long-term optimization scheduling model. This means that the impact of hourly wind and solar volatility is still considered when conducting monthly or annual scheduling planning, significantly improving the reliability of the planning results; (3) It breaks through the limitations of the fragmented nature of traditional planning and achieves deep coupling of the entire chain. Traditional methods often consider spatial layout, installed capacity and scheduling operation separately, while this invention constructs a closed loop that integrates "geospatial grid layout - wind and solar installed capacity - refined short-term operation simulation - long-term optimized scheduling". This systematic collaborative optimization makes up for the shortcomings of traditional planning in its fragmented treatment and difficulty in systematically assessing the risks and benefits throughout the entire cycle, and improves the systematicness and refinement of collaborative optimization from the perspective of methodology.

[0024] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0025] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart illustrating a method for the coordinated optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system according to an embodiment of this application. Figure 2 A flowchart illustrating a method for the coordinated optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system according to an embodiment of this application; Figure 3 A block diagram of a device for coordinating and optimizing the spatial layout and installed capacity of a hydro-wind-solar hybrid system according to an embodiment of this application; Figure 4This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0026] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0027] The following describes a method for the coordinated optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system, based on embodiments of this application, with reference to the accompanying drawings. Addressing the problems mentioned in the background art, such as the limited evaluation dimensions in existing wind and solar power planning studies, the inability to comprehensively and accurately identify the risks and benefits of wind and solar power planning, and the failure to consider the optimal spatial layout of wind and solar resources, this application provides a method for the coordinated optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system that couples short-term operational simulation with long-term optimization scheduling. This method can deduce the risks and benefits throughout the entire lifecycle under different spatial layouts and wind and solar power capacities, thereby providing technical support for the wind and solar power planning of hydro-wind-solar hybrid systems.

[0028] Specifically, Figure 1 This is a flowchart illustrating a method for the coordinated optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system provided in an embodiment of this application.

[0029] like Figure 1 As shown, the method for synergistic optimization of the spatial layout and installed capacity of the hydro-wind-solar hybrid system includes the following steps: In step S101, wind and solar resource data of the target area spatial grid of the current hydropower station are obtained, and multiple candidate wind and solar planning strategies are generated based on the wind and solar resource data of each spatial grid.

[0030] Specifically, firstly, wind and solar power resource data are collected from geospatial grids surrounding the hydropower station. This includes the upper limits of wind and solar power capacity for each grid, considering constraints such as land type and terrain limitations, as well as the corresponding multi-year hourly wind and solar power output sequences. Secondly, the wind and solar power installed capacity of each grid is discretized to obtain a set of selectable installed capacities. By exhaustively enumerating the combinations of wind and solar power installed capacities for each grid, multiple installation schemes are generated. Finally, for each wind and solar power installation scheme, based on the installed capacity, spatial layout, and corresponding wind and solar power output sequences, the wind and solar power output sequence under that scheme is calculated.

[0031] In step S102, the operation simulation is performed for each candidate wind and solar planning strategy, and the wind and solar absorption pattern corresponding to each candidate wind and solar planning strategy is extracted.

[0032] Furthermore, in some embodiments, before simulating the operation of each candidate wind and solar planning strategy and extracting the wind and solar consumption patterns corresponding to each candidate wind and solar planning strategy, the method further includes: selecting multiple operating day scenarios, each operating day scenario containing hourly load shapes, average hydropower output, and wind and solar power output sequences; performing time-series simulations on each operating day scenario with transmission channel capacity as a constraint to calculate the wind and solar consumption ratio of each operating day scenario; constructing a training sample set using the average hydropower output, average wind power output, and average photovoltaic output of each operating day scenario as input features and the corresponding wind and solar consumption ratio as the output label; training the training sample set using a surrogate model based on the Transformer architecture, optimizing the model parameters of the surrogate model with mean squared error as the loss function to obtain the trained surrogate model, and simulating the operation of each candidate wind and solar planning strategy based on the trained surrogate model.

[0033] Specifically, this application embodiment conducts short-term operation simulations sequentially for each typical day. Using the average hydropower output, wind and solar power output sequence, load shape, and transmission channel capacity as inputs, the wind and solar power absorption ratio for that day is calculated. Specifically, typical operating day scenarios are selected, and time-series simulations are performed based on the real-time power balance principle to calculate the wind and solar power absorption ratios for different typical days, generating training samples.

[0034] First, transmission channels have capacity limits. The wind and solar power output sequence represents the available power on the resource side, but it doesn't necessarily mean it can be fully transmitted and absorbed by the system. Based on a typical daily load shape, a proportional load curve is constructed and scaled down according to the total available power for the day to obtain an hourly load power curve. On this basis, the portion of load power exceeding the transmission channel capacity is identified hourly; this portion of power cannot be physically transmitted through the channel. To meet channel constraints and ensure hourly power balance, wind and solar power output needs to be limited. The power exceeding the channel capacity is deducted from the original wind and solar power output, resulting in an adjusted wind and solar power output sequence. This ensures that the calculated wind and solar absorption ratio is consistent with the feasible operation of the system. (1) (2) in, For time indexing, Number of time periods per day For wind power output sequence, For photovoltaic power output sequence, Contributing to the sequence of wind and solar power, For the adjusted number Time period scenery Internet output sequence, For the capacity of the power transmission channel, This is a typical daily load shape.

[0035] Secondly, to ensure that the total abandoned power calculated according to the wind-solar integration ratio is equal to the cumulative abandoned power calculated by hourly simulation under the load constraint, a nonlinear equilibrium equation for the wind-solar integration ratio is constructed. Substituting this equation into the hourly wind and solar power output process, the final wind-solar integration ratio is determined by solving the equation based on the power balance principle. (3) (4) in, The range of values ​​for the wind-solar energy absorption ratio is [not specified]. , The average output level of the hydropower station participating in compensation regulation. To achieve a ratio of wind and solar power for internet access of At that time, the first The time period is allocated to the system's load absorption capacity.

[0036] Furthermore, in equation (3), the left side represents the daily wind and solar power curtailment calculated based on the daily average wind and solar power consumption ratio, and the right side represents the total daily wind and solar power curtailment calculated based on the real-time power balance principle. The Newton-Raphson iteration method is used to iteratively solve the above nonlinear equations to obtain the optimal solution that satisfies the balance requirement. .

[0037] Finally, a training sample set is constructed using the average daily output of hydropower, wind power, and photovoltaic power as input features and the daily wind-solar power consumption ratio as the output label. A refined short-term simulation surrogate model based on the Transformer architecture is used to learn the wind-solar power consumption pattern. The mean-square error (MSE) is used as the loss function to optimize the model parameters by minimizing the deviation between the predicted and actual wind-solar power consumption ratios. The trained model is then used to conduct short-term simulations of various installed capacity schemes to extract their wind-solar power consumption patterns.

[0038] In step S103, each candidate wind and solar planning strategy is optimized and scheduled according to the wind and solar absorption law to obtain the optimization scheduling result. The evaluation index of each candidate wind and solar planning strategy is calculated based on the optimization scheduling result, and the comprehensive evaluation score of each candidate wind and solar planning strategy is obtained based on each evaluation index. The candidate wind and solar planning strategy with the highest comprehensive evaluation score is taken as the target wind and solar planning strategy.

[0039] Furthermore, in some embodiments, each candidate wind and solar planning strategy is optimized and scheduled according to the wind and solar power absorption law, including: constructing an optimized scheduling model, which takes the monthly inflow and the original output sequence of wind and solar power as inputs and the maximum total on-grid electricity as the objective function; setting constraints for the optimized scheduling model, including water balance constraints, reservoir capacity curve constraints, discharge capacity constraints, minimum output constraints, and transmission channel capacity constraints; embedding the wind and solar power absorption law into the optimized scheduling model, and using the optimized scheduling model to calculate the wind and solar power utilization rate based on the hydropower output and wind and solar power output of the decision in any scheduling period to obtain the optimized scheduling result.

[0040] Furthermore, in some embodiments, evaluation indicators for each candidate wind-solar planning strategy are calculated based on the optimized scheduling results. Each evaluation indicator includes: calculating the water-wind-solar standard deviation complementarity rate for each candidate wind-solar planning strategy based on the optimized scheduling results, and using the water-wind-solar standard deviation complementarity rate as an output stability evaluation indicator; calculating the net present value (NPV) of the water-wind-solar complementary system over its entire lifecycle based on the optimized scheduling results, and using the NPV of the water-wind-solar complementary system over its entire lifecycle as an economic evaluation indicator; calculating the transmission channel utilization rate based on the optimized scheduling results, and using the transmission channel utilization rate as a channel utilization efficiency evaluation indicator; and calculating the power supply guarantee rate based on the optimized scheduling results, and using the power supply guarantee rate as a power supply reliability evaluation indicator.

[0041] Specifically, this application embodiment constructs a long-term optimal scheduling model for hydro-wind-solar power integration that couples the laws governing wind and solar power consumption. The model takes monthly inflow and original wind and solar power output sequences as inputs, and maximizes the total grid-connected power of the hydro-wind-solar complementary system as the objective function. The objective function expression is: (5) in, The total on-grid power of the hydro-wind-solar hybrid system, To calculate the length of the time period, To contribute to the grid connection of wind and solar power that is coupled with the laws of wind and solar energy absorption.

[0042] This model takes the initial and final water levels of each time period as input, comprehensively considering constraints such as water balance, reservoir capacity curve, discharge capacity, minimum output, and power transmission channel capacity, and incorporates the wind and solar power absorption law. This law uses hydropower, wind power, and photovoltaic output as independent variables and wind and solar utilization rate as the dependent variable to characterize the dynamic impact of different hydropower output levels on the absorption and utilization rate of wind and solar resources. Within any given calculation period, the model calculates the utilization rate in real time based on the decided hydropower and wind and solar output using the wind and solar power absorption law, thereby achieving rapid and accurate simulation of wind and solar power grid connection output.

[0043] Furthermore, based on the long-term optimization and scheduling results, the evaluation indicators (output stability, net present value, transmission channel utilization rate and power supply guarantee rate) under different wind and solar power installation schemes are compared and selected to identify the wind and solar power installation scheme with the best comprehensive evaluation indicators.

[0044] Based on the long-term scheduling results of the hydro-wind-solar hybrid system with different schemes and coupled short-term wind and solar absorption patterns obtained previously, the risk and benefit indicators of different schemes are calculated: 1) The standard deviation complementarity rate of hydropower, wind power, and solar power reflects the stability of the system's total grid output. The smaller the value, the more prominent the complementary effect on improving system stability. (6) in, Standard deviation of hydropower output to the grid; Standard deviation of wind power output to the grid; Standard deviation of power output for photovoltaic grid connection; The standard deviation of total internet usage; The standard deviation complementarity of water, wind, and light is denoted as .

[0045] 2) Net Present Value (NPV) of Hydro-Wind-Solar Hybrid Systems: By comprehensively considering electricity sales revenue, operation and maintenance costs, and initial investment costs, a NPV model is constructed to reflect the full-cycle economic benefits of hydro-wind-solar hybrid systems with different spatial layouts and installed capacities. (7) ; in, To ensure the full-cycle economic benefits of a hydro-wind-solar hybrid system. For the unit cost of wind power installation, The unit cost of photovoltaic installations. For the revenue generated during the wind power year, This refers to the total installed capacity of wind power. For the total installed capacity of photovoltaic power, The discount rate is... For wind and solar power sales prices, Cost of wind and solar power operation and maintenance.

[0046] 3) Transmission channel utilization rate, reflecting the degree to which transmission channels are effectively utilized throughout the entire cycle, measures the synergistic optimization effect of hydropower-wind-solar hybrid power generation and the efficiency of transmission channel utilization: (8) in, For time period Total internet usage This refers to the utilization rate of power transmission channels.

[0047] 4) Power supply guarantee rate, reflecting the reliability of the power supply of the hydro-wind-solar hybrid system throughout the entire cycle, and measuring the system's ability to continuously meet the design guarantee output requirements when facing random fluctuations in wind and solar resources: (9) in, For power supply guarantee rate, To ensure output.

[0048] Furthermore, in some embodiments, a comprehensive evaluation score for each candidate wind and solar planning strategy is obtained based on each evaluation index, including: setting a first weighting coefficient for the power output stability evaluation index, a second weighting coefficient for the economic evaluation index, a third weighting coefficient for the channel utilization efficiency evaluation index, and a fourth weighting coefficient for the power supply reliability evaluation index; calculating the first product of the value of the power output stability evaluation index and the first weighting coefficient, calculating the second product of the value of the economic evaluation index and the second weighting coefficient, calculating the third product of the value of the channel utilization efficiency evaluation index and the third weighting coefficient, and calculating the fourth product of the value of the power supply reliability evaluation index and the fourth weighting coefficient; summing the first, second, third, and fourth products corresponding to each candidate wind and solar planning strategy to obtain a comprehensive evaluation score for each candidate wind and solar planning strategy.

[0049] Specifically, by comprehensively weighing the importance of each evaluation indicator and setting different weight coefficients, the indicator values ​​of different schemes are weighted and summed according to their corresponding weights to obtain the comprehensive evaluation score of each scheme. Finally, the scheme with the highest comprehensive evaluation score is selected as the reference for landscape planning.

[0050] To facilitate a more intuitive understanding by those skilled in the art of coordinating the spatial layout and installed capacity optimization method of the hydro-wind-solar hybrid system of this application, the following is combined with... Figure 2 Please provide an explanation.

[0051] like Figure 2 As shown, the method for synergistic optimization of the spatial layout and installed capacity of the hydro-wind-solar hybrid system includes the following steps: (1) Based on the upper limit of wind and solar installed capacity and the multi-year hourly output sequence of the adjacent spatial grid of the hydropower station, exhaustively generate wind and solar power station planning schemes that include different spatial layouts and combinations of installed capacity schemes; (2) Conduct detailed short-term operation simulations for each planning scheme in turn, and extract the corresponding wind and solar energy absorption patterns; (3) On this basis, long-term optimization scheduling of each planning scheme coupled with the wind and solar absorption law is carried out; (4) Based on the long-term optimization scheduling results, compare the evaluation indicators (output stability, net present value, transmission channel utilization rate and power supply guarantee rate) under different wind and solar power installation schemes, and select the wind and solar power installation scheme with the best comprehensive evaluation indicators.

[0052] Therefore, this invention overcomes the limitations of traditional wind and solar planning in failing to fully couple "spatial layout-installed capacity-long-term optimization scheduling-short-term wind and solar absorption patterns", and proposes a more systematic and refined collaborative optimization method that can deduce the risks and benefits of the whole cycle under different spatial layouts and wind and solar installed capacities, thereby providing technical support for wind and solar installed capacity planning of water-wind-solar complementary systems.

[0053] The method for co-optimizing the spatial layout and installed capacity of a hydro-wind-solar hybrid system proposed in this application generates multiple candidate wind-solar planning strategies based on wind and solar resource data for each spatial grid in the target area of ​​the current hydropower station. Operational simulations are then performed to extract the wind and solar absorption patterns corresponding to each candidate strategy. Each candidate strategy is then optimized and scheduled, and a comprehensive evaluation score is calculated based on the optimization scheduling results to obtain the target wind-solar planning strategy. This solves the problems of existing wind and solar installed capacity planning studies, such as the single evaluation dimension, inability to comprehensively and accurately identify the risks and benefits of wind and solar installed capacity planning, and failure to consider the optimal solution for the spatial layout of wind and solar resources. Through refined short-term operational simulations, the benefits and risks of different spatial layouts and wind and solar installed capacity schemes are synergistically and quantitatively evaluated throughout the entire lifecycle, thereby providing a decision-making basis for the long-term reliability and economy of the system.

[0054] Next, referring to the accompanying drawings, a device for the coordinated optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system proposed according to an embodiment of this application is described.

[0055] Figure 3 This is a block diagram of a device for the coordinated optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system according to an embodiment of this application.

[0056] like Figure 3 As shown, the device 10 for the coordinated optimization of spatial layout and installed capacity of the hydro-wind-solar hybrid system includes: an acquisition module 100, a simulation module 200, and an optimization module 300.

[0057] The module 100 is used to acquire wind and solar resource data of the target area spatial grid of the current hydropower station, and generate multiple candidate wind and solar planning strategies based on the wind and solar resource data of each spatial grid; the simulation module 200 is used to simulate the operation of each candidate wind and solar planning strategy and extract the wind and solar absorption law corresponding to each candidate wind and solar planning strategy; the optimization module 300 is used to optimize the scheduling of each candidate wind and solar planning strategy according to the wind and solar absorption law, obtain the optimization scheduling result, calculate the evaluation index of each candidate wind and solar planning strategy according to the optimization scheduling result, and obtain the comprehensive evaluation score of each candidate wind and solar planning strategy according to each evaluation index, and select the candidate wind and solar planning strategy with the highest comprehensive evaluation score as the target wind and solar planning strategy.

[0058] Furthermore, in some embodiments, before simulating the operation of each candidate wind and solar planning strategy and extracting the wind and solar absorption patterns corresponding to each candidate wind and solar planning strategy, the simulation module 200 is also used to: select multiple operating day scenarios, each operating day scenario including hourly load shape, average hydropower output, and wind and solar power output sequence; perform time-series simulation on each operating day scenario with transmission channel capacity as constraint, and calculate the wind and solar absorption ratio of each operating day scenario; construct a training sample set with the average hydropower output, average wind power output, and average photovoltaic output of each operating day scenario as input features and the corresponding wind and solar absorption ratio as output label; train the training sample set using a surrogate model based on the Transformer architecture, optimize the model parameters of the surrogate model with mean squared error as the loss function, obtain the trained surrogate model, and perform operation simulation on each candidate wind and solar planning strategy based on the trained surrogate model.

[0059] Furthermore, in some embodiments, the optimization module 300 is used to: construct an optimized scheduling model, which takes the monthly inflow and the original power output sequence of wind and solar power as inputs and takes the maximum total grid-connected electricity as the objective function; set constraints for the optimized scheduling model, including water balance constraints, reservoir capacity curve constraints, discharge capacity constraints, minimum output constraints, and transmission channel capacity constraints; embed the wind and solar power absorption law into the optimized scheduling model, and use the optimized scheduling model to calculate the wind and solar power utilization rate based on the hydropower output and wind and solar power output of the decision in any scheduling period to obtain the optimized scheduling result.

[0060] Furthermore, in some embodiments, the objective function is: ; in, The total on-grid power of the hydro-wind-solar hybrid system, For time indexing, Number of time periods per day The average output level of the hydropower station participating in compensation regulation. To calculate the length of the time period, Contributing to the sequence of wind and solar power, To contribute to the grid connection of wind and solar power that is coupled with the laws of wind and solar energy absorption.

[0061] Furthermore, in some embodiments, the optimization module 300 is used to: calculate the water-wind-solar standard deviation complementarity rate of each candidate wind-solar planning strategy based on the optimized scheduling results, and use the water-wind-solar standard deviation complementarity rate as an output stability evaluation index; calculate the net present value of the water-wind-solar complementary system over its entire life cycle based on the optimized scheduling results, and use the net present value of the water-wind-solar complementary system over its entire life cycle as an economic evaluation index; calculate the transmission channel utilization rate based on the optimized scheduling results, and use the transmission channel utilization rate as a channel utilization efficiency evaluation index; and calculate the power supply guarantee rate based on the optimized scheduling results, and use the power supply guarantee rate as a power supply reliability evaluation index.

[0062] According to one embodiment of this application, the standard deviation complementarity of water, wind, and solar energy is: ; in, The complementarity rate of the standard deviation of water, wind and light. The standard deviation of total internet effort. Standard deviation of power output for hydropower grid connection, Standard deviation of wind power output to the grid. Standard deviation of power output for photovoltaic grid connection; The net present value of the hydro-wind-solar hybrid system over its entire lifecycle is: ; in, The net present value of the hydro-wind-solar hybrid system over its entire lifecycle. For time indexing, Number of time periods per day For the revenue generated during the wind power year, The discount rate is... For the unit cost of wind power installation, This refers to the total installed capacity of wind power. The unit cost of photovoltaic installations. This refers to the total installed capacity of photovoltaic power. The utilization rate of the power transmission channel is: ; in, To improve the utilization rate of power transmission channels, For time period Total internet usage For the capacity of the power transmission channel, This represents the total number of time periods; Power supply guarantee rate: ; in, For power supply guarantee rate, To ensure output.

[0063] Furthermore, in some embodiments, the optimization module 300 is used to: set a first weighting coefficient for the output stability evaluation index, a second weighting coefficient for the economic evaluation index, a third weighting coefficient for the channel utilization efficiency evaluation index, and a fourth weighting coefficient for the power supply reliability evaluation index; calculate the first product of the value of the output stability evaluation index and the first weighting coefficient, calculate the second product of the value of the economic evaluation index and the second weighting coefficient, calculate the third product of the value of the channel utilization efficiency evaluation index and the third weighting coefficient, and calculate the fourth product of the value of the power supply reliability evaluation index and the fourth weighting coefficient; and sum the first, second, third, and fourth products corresponding to each candidate wind and solar planning strategy to obtain a comprehensive evaluation score for each candidate wind and solar planning strategy.

[0064] It should be noted that the explanation of the aforementioned embodiment of the method for synergistic optimization of spatial layout and installed capacity of hydro-wind-solar hybrid system also applies to the synergistic optimization device for spatial layout and installed capacity of hydro-wind-solar hybrid system in this embodiment, and will not be repeated here.

[0065] The device for co-optimizing the spatial layout and installed capacity of a hydro-wind-solar hybrid system proposed in this application generates multiple candidate wind-solar planning strategies based on wind and solar resource data for each spatial grid in the target area of ​​the current hydropower station. Operational simulations are then performed to extract the wind and solar absorption patterns corresponding to each candidate strategy. Each candidate strategy is then optimized and scheduled, and a comprehensive evaluation score is calculated based on the optimization scheduling results to obtain the target wind-solar planning strategy. This solves the problems of existing wind and solar installed capacity planning research, such as the single evaluation dimension, inability to comprehensively and accurately identify the risks and benefits of wind and solar installed capacity planning, and failure to consider the optimal solution for the spatial layout of wind and solar resources. Through refined short-term operational simulations, the benefits and risks of different spatial layouts and wind and solar installed capacity schemes are synergistically and quantitatively evaluated throughout the entire lifecycle, thereby providing a decision-making basis for the long-term reliability and economy of the system.

[0066] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 401, the processor 402, and the computer program stored on the memory 401 and capable of running on the processor 402.

[0067] When the processor 402 executes the program, it implements the method for coordinated optimization of spatial layout and installed capacity of the water-wind-solar hybrid system provided in the above embodiments.

[0068] Furthermore, electronic devices also include: Communication interface 403 is used for communication between memory 401 and processor 402.

[0069] The memory 401 is used to store computer programs that can run on the processor 402.

[0070] Memory 401 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0071] If the memory 401, processor 402, and communication interface 403 are implemented independently, then the communication interface 403, memory 401, and processor 402 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized into address buses, data buses, control buses, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0072] Optionally, in a specific implementation, if the memory 401, processor 402, and communication interface 403 are integrated on a single chip, then the memory 401, processor 402, and communication interface 403 can communicate with each other through an internal interface.

[0073] Processor 402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0074] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-mentioned method for the coordinated optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system.

[0075] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0076] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0077] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0078] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0079] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0080] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0081] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0082] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for synergistic optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system, characterized in that, Includes the following steps: Obtain wind and solar resource data of the target area spatial grid of the current hydropower station, and generate multiple candidate wind and solar planning strategies based on the wind and solar resource data of each spatial grid; Run a simulation for each candidate landscape planning strategy and extract the landscape absorption pattern corresponding to each candidate landscape planning strategy; Based on the aforementioned wind and solar energy absorption law, each candidate wind and solar planning strategy is optimized and scheduled to obtain the optimized scheduling result. Based on the optimized scheduling result, the evaluation index of each candidate wind and solar planning strategy is calculated, and based on each evaluation index, the comprehensive evaluation score of each candidate wind and solar planning strategy is obtained. The candidate wind and solar planning strategy with the highest comprehensive evaluation score is selected as the target wind and solar planning strategy.

2. The method according to claim 1, characterized in that, Before performing simulations on each candidate landscape planning strategy and extracting the landscape absorption patterns corresponding to each candidate landscape planning strategy, the process also includes: Multiple operating day scenarios are selected, each of which includes hourly load shape, average hydropower output, and wind and solar power output sequence. With the transmission channel capacity as a constraint, time-series simulation is performed on each operating day scenario to calculate the wind and solar power absorption ratio for each operating day scenario. Using the average hydropower output, average wind power output, and average photovoltaic output of each operating day scenario as input features, and the corresponding wind and solar power consumption ratio as output labels, a training sample set is constructed. The training sample set is trained using a proxy model based on the Transformer architecture. The model parameters of the proxy model are optimized using mean squared error as the loss function to obtain the trained proxy model. The trained proxy model is then used to simulate the operation of each candidate landscape planning strategy.

3. The method according to claim 1, characterized in that, The optimization and scheduling of each candidate wind and solar planning strategy based on the wind and solar energy absorption law includes: An optimized scheduling model is constructed, which takes the monthly water inflow and the original power output sequence of wind and solar power as inputs and takes the maximum total grid-connected electricity as the objective function. Constraints are set for the optimized scheduling model, including water balance constraints, reservoir capacity curve constraints, discharge capacity constraints, minimum output constraints, and power transmission channel capacity constraints. The wind and solar power absorption law is embedded into the optimization scheduling model. The optimization scheduling model is used to calculate the wind and solar power utilization rate based on the hydropower output and wind and solar power output of the decision in any scheduling period, so as to obtain the optimization scheduling result.

4. The method according to claim 3, characterized in that, The objective function is: ； in, The total on-grid power of the hydro-wind-solar hybrid system, For time indexing, Number of time periods per day The average output level of the hydropower station participating in compensation regulation. To calculate the length of the time period, Contributing to the sequence of wind and solar power, To contribute to the grid connection of wind and solar power that is coupled with the laws of wind and solar energy absorption.

5. The method according to claim 1, characterized in that, The step of calculating the evaluation index for each candidate landscape planning strategy based on the optimized scheduling result includes: Based on the optimized scheduling results, the water-wind-solar standard deviation complementarity rate of each candidate wind-solar planning strategy is calculated, and the water-wind-solar standard deviation complementarity rate is used as the output stability evaluation index. The net present value of the water-wind-solar hybrid system over its entire lifecycle is calculated based on the optimized scheduling results, and the net present value of the water-wind-solar hybrid system over its entire lifecycle is used as an economic evaluation index. The power transmission channel utilization rate is calculated based on the optimized scheduling results, and the power transmission channel utilization rate is used as an evaluation index of channel utilization efficiency. The power supply guarantee rate is calculated based on the optimized scheduling results, and the power supply guarantee rate is used as the power supply reliability evaluation index.

6. The method according to claim 5, characterized in that, The complementarity of the standard deviations of water, wind, and solar energy is: ； in, The complementarity rate of the standard deviation of water, wind and light. The standard deviation of total internet effort. Standard deviation of power output for hydropower grid connection, Standard deviation of wind power output to the grid. Standard deviation of power output for photovoltaic grid connection; The net present value of the hydro-wind-solar hybrid system over its entire lifecycle is: ； in, The net present value of the hydro-wind-solar hybrid system over its entire lifecycle. For time indexing, Number of time periods per day For the revenue generated during the wind power year, The discount rate is... For the unit cost of wind power installation, This refers to the total installed capacity of wind power. The unit cost of photovoltaic installations. This refers to the total installed capacity of photovoltaic power. The utilization rate of the power transmission channel is: ； in, To improve the utilization rate of power transmission channels, For time period Total internet usage For the capacity of the power transmission channel, This represents the total number of time periods; The power supply guarantee rate is: ； in, For power supply guarantee rate, To ensure output.

7. The method according to claim 5, characterized in that, The process of obtaining a comprehensive evaluation score for each candidate landscape planning strategy based on each evaluation index includes: A first weighting coefficient is set for the output stability evaluation index, a second weighting coefficient is set for the economic evaluation index, a third weighting coefficient is set for the channel utilization efficiency evaluation index, and a fourth weighting coefficient is set for the power supply reliability evaluation index. Calculate the first product of the output stability evaluation index and the first weighting coefficient, calculate the second product of the economic evaluation index and the second weighting coefficient, calculate the third product of the channel utilization efficiency evaluation index and the third weighting coefficient, and calculate the fourth product of the power supply reliability evaluation index and the fourth weighting coefficient. The first product, the second product, the third product, and the fourth product corresponding to each candidate landscape planning strategy are summed to obtain the comprehensive evaluation score of each candidate landscape planning strategy.

8. A device for synergistic optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system, characterized in that, include: The acquisition module is used to acquire wind and solar resource data of the target area spatial grid of the current hydropower station, and generate multiple candidate wind and solar planning strategies based on the wind and solar resource data of each spatial grid. The simulation module is used to simulate the operation of each candidate landscape planning strategy and extract the landscape absorption pattern corresponding to each candidate landscape planning strategy. The optimization module is used to optimize and schedule each candidate wind and solar planning strategy according to the wind and solar absorption law, obtain the optimization scheduling result, calculate the evaluation index of each candidate wind and solar planning strategy according to the optimization scheduling result, and obtain the comprehensive evaluation score of each candidate wind and solar planning strategy according to each evaluation index, and take the candidate wind and solar planning strategy with the highest comprehensive evaluation score as the target wind and solar planning strategy.

9. An electronic device, characterized in that, include: The system includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to implement the method for synergistic optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program is executed by a processor to implement the method for synergistic optimization of spatial layout and installed capacity of a hydro-wind-solar hybrid system as described in any one of claims 1-7.

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