Benefit evaluation system and method for reliable alternative power supply of new energy of regional power grid

Abstract

The invention discloses a benefit evaluation system and method for reliable replacement power supply of new energy of a regional power grid, and the method comprises the steps: obtaining new energy data, load data and meteorological data, and carrying out the preprocessing of all data; calculating a wind power photovoltaic confidence output index based on the new energy data and the meteorological data; calculating a peak ratio index and a peak power generation capacity index based on the new energy data and the load data; and calculating a comprehensive benefit value according to the wind power photovoltaic confidence output index, the peak proportion index and the peak power generation capacity index, and generating a comprehensive evaluation report and performing visual display. The evaluation method comprising a wind power photovoltaic confidence output index, a peak proportion index and a peak power generation capacity index is constructed, and the sequential operation simulation and multi-scene analysis technology is combined, so that the comprehensive quantitative evaluation of the new energy replacement power supply benefit of the regional power grid is realized, and the evaluation efficiency is improved from a multi-dimensional perspective. And the comprehensive value of new energy alternative power supply is comprehensively reflected and quantified.

Description

Technical Field

[0001] This invention belongs to the field of new energy technology, specifically relating to a benefit evaluation system and method for reliable alternative power supply of new energy sources in regional power grids. Background Technology

[0002] As the energy transition accelerates, the penetration rate of new energy sources in regional power grids continues to increase, and their scale benefits in replacing traditional energy sources are becoming increasingly prominent. However, the current methods for evaluating the power supply benefits of new energy sources in replacing traditional energy sources still have many limitations, making it difficult to comprehensively and accurately reflect the overall benefit value of new energy sources in regional power grids.

[0003] Traditional assessment methods are limited by a single dimension, focusing only on the benefits of new energy in power generation or emission reduction. They fail to systematically consider the safety, reliability, and power supply capacity of the regional power grid after new energy substitution. They lack comprehensive assessment indicators that encompass multiple dimensions, such as new energy confidence capacity, peak power supply capacity, and reliable peak power generation capacity, making it difficult to fully reflect the actual contribution of new energy to ensuring the safe and reliable operation of the power grid. Furthermore, traditional assessment methods have significant static limitations. They cannot analyze different actual operating scenarios and fail to integrate factors such as time-series characteristics, volatility, multi-voltage hierarchical structures, and peak-shaving constraints. This leads to discrepancies between the assessment results and the actual power grid operation, failing to truly reflect the dynamic benefits of new energy substitution in actual grid operation. Simultaneously, traditional assessment methods lack scenario adaptability and early warning mechanisms, exhibiting insufficient robustness and practicality against uncertainties such as extreme weather, policy changes, and load growth. They also lack the quantitative assessment and early warning capabilities for issues such as peak-shaving pressure and frequency stability after a high proportion of new energy is integrated into the grid, thus failing to ensure the power supply reliability and stability of the power grid after new energy substitution.

[0004] Therefore, traditional assessment methods are difficult to accurately quantify the substitution effect of new energy on traditional energy. Existing assessment methods are misaligned with the needs of assessing the benefits of new energy substitution, and cannot comprehensively assess the actual benefits based on multiple dimensions such as the safety, reliability, and economy of new energy substitution, especially the actual contribution of new energy substitution to the safe and stable operation of the power grid under different operating scenarios. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a benefit evaluation system and method for reliable alternative power supply of new energy sources in regional power grids.

[0006] The present invention adopts the following technical solution.

[0007] The first aspect of this invention discloses a method for evaluating the benefits of reliable alternative power supply from new energy sources in a regional power grid, comprising: Acquire new energy data, load data, and meteorological data, and preprocess all data; The confidence output index of wind and solar power is calculated based on new energy data and meteorological data; Peak percentage and peak power generation capacity indicators are calculated based on new energy data and load data. The comprehensive benefit value is calculated based on the wind and solar power confidence output index, peak percentage index, and peak power generation capacity index, and a comprehensive evaluation report and visualization are generated.

[0008] Preferably, the calculation of the wind and solar power confidence output index based on new energy data and meteorological data includes: The capacity factor sequences for wind power and photovoltaic power were calculated based on new energy data and meteorological data, respectively. The wind power and photovoltaic capacity factor sequences are arranged in descending order, and capacity factor thresholds corresponding to preset proportions of wind power and photovoltaic confidence levels are selected to obtain the average confidence output ratio of wind power and photovoltaic power. Multiply the average confidence output ratios of wind power and photovoltaic power by the installed capacity of wind power and photovoltaic power, respectively, to obtain the average confidence output of wind power and photovoltaic power. The wind power and photovoltaic confidence output index is obtained by weighted averaging of the average confidence output of wind power and photovoltaic power.

[0009] Preferably, the calculation of the peak percentage index and peak power generation capacity index based on new energy data and load data includes: Identify the critical periods for peak summer demand, peak winter demand, and peak load periods based on load data; The peak load period is extracted based on the critical periods of peak summer and peak winter, and the peak load percentage is calculated by combining new energy data. The peak power generation capacity index is calculated by extracting the load curve during peak load periods and combining it with new energy data.

[0010] Preferably, the step of extracting the evening peak load period based on the critical periods of peak summer and peak winter, and calculating the peak load percentage index in conjunction with new energy data, includes: The average output of new energy sources during the evening peak load period is calculated based on new energy data, and the average load during the evening peak load period is calculated based on load data. The peak percentage index is obtained by dividing the average output of new energy by the average load during the evening peak.

[0011] Preferably, the step of extracting the load curve based on peak load periods and calculating the peak power generation capacity index by combining it with new energy data includes: Based on the extraction of new energy data, peak output of new energy during peak load periods and peak capacity support provided by the coordinated operation of new energy and system energy storage; The probability distribution of available capacity is obtained by statistically distributing the peak output of new energy sources, and the time-series matching characteristics are obtained by comparing and analyzing the peak output of new energy sources with the load curve. The peak power generation capacity index is obtained by combining the probability distribution of available capacity, time-series matching characteristics, and peak capacity support using a probabilistic assessment method.

[0012] Preferably, the calculation of the comprehensive benefit value based on the wind power and solar power confidence output index, peak percentage index, and peak power generation capacity index includes: The wind power and solar power confidence output index, peak ratio index, and peak power generation capacity index are standardized and converted into dimensionless standardized values. By combining subjective and objective weighting methods to determine the comprehensive weight of each indicator, the standardized values ​​and their corresponding comprehensive weights are weighted and summed to obtain the comprehensive benefit value.

[0013] Preferably, the new energy data can be analyzed for time-series characteristics to generate new energy output curves and annual output sequences.

[0014] The second aspect of this invention discloses a benefit evaluation system for reliable alternative power supply of new energy sources in a regional power grid, and the method for evaluating the benefit of reliable alternative power supply of new energy sources in a regional power grid. The benefit evaluation system includes: a data acquisition module, a calculation module, an evaluation module, and an output display module; The data acquisition module is used to acquire new energy data, load data and meteorological data, and to preprocess all data. The calculation module is used to calculate the wind power and photovoltaic confidence output index based on new energy data and meteorological data, and to calculate the peak proportion index and peak power generation capacity index based on new energy data and load data. The evaluation module is used to calculate the comprehensive benefit value based on the wind power and solar power confidence output index, peak proportion index and peak power generation capacity index. The output display module is used to generate comprehensive evaluation reports and visualizations.

[0015] The third aspect of this invention discloses an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the computer program, when loaded onto the processor, implements the aforementioned method for evaluating the benefits of reliable alternative power supply from new energy sources in a regional power grid.

[0016] The fourth aspect of the present invention discloses a computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the aforementioned method for evaluating the benefits of reliable alternative power supply of new energy sources in a regional power grid.

[0017] The beneficial effects of this invention are that, compared with the prior art, This invention achieves a comprehensive evaluation system from multiple perspectives, encompassing wind and solar power confidence output indicators, peak power ratio indicators, and peak power generation capacity indicators. This system fully reflects and quantifies the comprehensive value of new energy replacing power supply, scientifically assesses the comprehensive benefits of new energy replacing traditional energy, and evaluates the technical value of ensuring the safe and reliable operation of the power grid. It provides decision support for the selection of new energy replacement paths for regional power grids.

[0018] The evaluation method of this invention is more comprehensive. By constructing a multi-dimensional comprehensive evaluation system, it takes into account factors such as confidence output guarantee, peak load support capacity and reliable peak power generation capacity. This overcomes the shortcomings of traditional evaluation methods with only one dimension and can comprehensively reflect the comprehensive benefits of new energy alternative power supply.

[0019] This invention has strong dynamic evaluation capabilities. The new energy data can be simulated using time-series operation technology, which can accurately characterize the fluctuation and intermittency of new energy output, realize the dynamic evaluation of the benefits of new energy substitution, and the evaluation results are more consistent with the actual operation of the power grid.

[0020] This invention assesses and guarantees power generation capacity through wind and solar power confidence output indicators, and then feeds back safety and reliability indicators, incorporating grid safety and reliability indicators into the evaluation system. This allows for a quantitative assessment of the impact of renewable energy substitution on grid safety operation, provides early warning for the safety of substitution schemes, and ensures the power supply reliability of the grid after renewable energy substitution. This invention quantifies the capacity support value of renewable energy systems during severe times through peak power generation capacity indicators, and feeds back peak guarantee indicators. This invention also quantifies the temporal matching degree between renewable energy output and peak load periods through peak proportion indicators, revealing the economic value of renewable energy power generation in alleviating grid operation pressure and reducing peak shaving costs.

[0021] This invention can assess the benefits of new energy substitution under different policy conditions and power grid structures, providing a scientific basis for regional power grid new energy planning and investment decisions, promoting the safe and efficient substitution of new energy, and has significant application value in the field of regional power grid new energy substitution benefit assessment, providing decision support for energy transition. Attached Figure Description

[0022] Figure 1 This is a structural diagram of a benefit evaluation system for reliable alternative power supply of new energy sources in a regional power grid, according to the present invention. In the diagram: 1. Data acquisition module; 2. Calculation module; 3. Evaluation module; 4. Output display module. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, other embodiments obtained by those skilled in the art without creative effort are all within the protection scope of this invention.

[0024] Embodiment 1 of this invention discloses a method for evaluating the benefits of reliable alternative power supply from new energy sources in a regional power grid, comprising the following steps: Step 1: Acquire new energy data, load data, and meteorological data, and preprocess all data; Specifically, the new energy data includes: installed capacity, output characteristics, and output forecast data of clean and renewable energy sources such as photovoltaic and wind power; the load data includes: historical load curves, load forecasts, and load characteristics; and the meteorological data includes key meteorological elements that affect the output of new energy sources such as wind speed, sunshine, and temperature.

[0025] It is understood that the present invention can also collect power grid data, including network topology, line parameters, transformer capacity, transmission limits, etc., and then perform security verification and correction on various indicators to assess the feasibility of implementation in actual power grids.

[0026] The preprocessing of all data includes: All data undergo quality checks and rationality verification. Missing data is filled using interpolation or typical value imputation methods, thus achieving data cleaning, standardization, and missing value handling. Specifically, the new energy data can be analyzed using time-series characteristics to generate new energy output curves and annual output sequences. The new energy output can be analyzed using time-series characteristics to generate typical daily output curves or annual output sequences of 8,760 hours.

[0027] This invention employs time-series operation simulation technology, which can accurately characterize the fluctuation and intermittency of new energy output, realize dynamic evaluation of the benefits of new energy substitution, and the evaluation results are more consistent with the actual operation of the power grid.

[0028] Step 2: Calculate the confidence output index of wind and solar power based on new energy data and meteorological data; Specifically, it includes the following steps: The capacity factor sequences for wind power and photovoltaic power were calculated based on new energy data and meteorological data, respectively. The wind power and photovoltaic capacity factor sequences are arranged in descending order, and capacity factor thresholds corresponding to preset proportions of wind power and photovoltaic confidence levels are selected to obtain the average confidence output ratio of wind power and photovoltaic power. Multiply the average confidence output ratios of wind power and photovoltaic power by the installed capacity of wind power and photovoltaic power, respectively, to obtain the average confidence output of wind power and photovoltaic power. The wind power and photovoltaic confidence output index is obtained by weighted averaging of the average confidence output of wind power and photovoltaic power.

[0029] It is understood that the wind and solar power confidence output index refers to the proportion of guaranteed power generation of wind and solar power at a preset confidence level to the installed capacity. This index reflects the reliable power support capability that new energy sources can provide at a specific confidence level.

[0030] It is understood that the preset ratio can be 95%.

[0031] Step 3: Calculate the peak percentage index and peak power generation capacity index based on new energy data and load data; Step 3.1: Identify the critical periods for peak summer demand, peak winter demand, and peak load periods based on load data; It is understandable that the critical period for peak summer demand is usually from July to August, and the critical period for peak winter demand is usually from December to January.

[0032] Step 3.2: Extract the evening peak load period based on the critical periods of peak summer and peak winter, and calculate the peak load ratio index by combining it with new energy data; Specifically, the average output of new energy sources during the evening peak load period is calculated based on new energy data, and the average load during the evening peak load period is calculated based on load data. The peak percentage index is obtained by dividing the average output of new energy by the average load during the evening peak.

[0033] It is understandable that the peak load ratio reflects the support capacity of new energy sources during peak grid load periods, and a higher peak load ratio indicates that new energy sources have a stronger support capacity for peak loads.

[0034] It is understandable that the evening peak load period is typically from 6 p.m. to 10 p.m.

[0035] Step 3.3: Extract the load curve based on the peak load period and calculate the peak power generation capacity index by combining it with new energy data; Specifically, it is based on extracting peak output of new energy during peak load periods and peak capacity support provided by the coordinated operation of new energy and system energy storage based on new energy data. The probability distribution of available capacity is obtained by statistically distributing the peak output of new energy sources, and the time-series matching characteristics are obtained by comparing and analyzing the peak output of new energy sources with the load curve. The peak power generation capacity index is obtained by combining the probability distribution of available capacity, time-series matching characteristics, and peak capacity support using a probabilistic assessment method.

[0036] It is understood that the energy storage system includes: energy storage built in conjunction with new energy sources, new energy storage on the grid side, and pumped storage, etc.

[0037] It is understood that the peak power generation capacity index is used to measure the reliability of new energy sources during peak grid demand periods and to reflect the ability of new energy sources to replace traditional peak power sources.

[0038] Step 4: Calculate the comprehensive benefit value based on the wind power and solar power confidence output index, peak percentage index and peak power generation capacity index, and generate a comprehensive evaluation report and visualization display; Specifically, the wind power and solar power confidence output indicators, peak ratio indicators, and peak power generation capacity indicators are standardized and converted into dimensionless standardized values. By combining subjective and objective weighting methods to determine the comprehensive weight of each indicator, the standardized values ​​and their corresponding comprehensive weights are weighted and summed to obtain the comprehensive benefit value.

[0039] The subjective weighting method can employ the analytic hierarchy process (AHP), while the objective weighting method can employ the entropy weighting method.

[0040] The visualization includes: a radar chart to display the comprehensive benefit value of the three core indicators, which intuitively reflects the advantages and disadvantages of new energy replacing power supply; a bar chart to compare the comprehensive benefit value in different regions or scenarios; and a line graph to show the trend of the benefits of new energy replacing power supply over time.

[0041] The comprehensive assessment report includes assessment methods, basic data, assessment results, sensitivity analysis, and policy recommendations, providing a scientific basis for regional power grid renewable energy planning and investment decisions.

[0042] Understandably, since the dimensions and orders of magnitude of the wind power and solar power confidence output index, peak output ratio index and peak power generation capacity index are different, they need to be standardized first, which can be converted into dimensionless zero-to-one values.

[0043] like Figure 1 As shown, Embodiment 2 of the present invention discloses a benefit evaluation system for reliable alternative power supply of new energy sources in a regional power grid, and operates a benefit evaluation method for reliable alternative power supply of new energy sources in a regional power grid as described above. The benefit evaluation system includes: a data acquisition module 1, a calculation module 2, an evaluation module 3, and an output display module 4. The data acquisition module 1 is used to acquire new energy data, load data and meteorological data, and to preprocess all data. The calculation module 2 is used to calculate the wind power and photovoltaic confidence output index based on new energy data and meteorological data, and to calculate the peak proportion index and peak power generation capacity index based on new energy data and load data. The evaluation module 3 is used to calculate the comprehensive benefit value based on the wind power and photovoltaic confidence output index, peak proportion index and peak power generation capacity index. The output display module 4 is used to generate a comprehensive evaluation report and a visual display.

[0044] Embodiment 3 of the present invention discloses an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the computer program is loaded onto the processor, it implements the aforementioned method for evaluating the benefits of reliable alternative power supply of new energy sources in a regional power grid.

[0045] Embodiment 4 of the present invention discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the aforementioned method for evaluating the benefits of reliable alternative power supply from new energy sources in a regional power grid.

[0046] The beneficial effects of this invention are that, compared with the prior art, This invention achieves a comprehensive evaluation system from multiple perspectives, encompassing wind and solar power confidence output indicators, peak power ratio indicators, and peak power generation capacity indicators. This system fully reflects and quantifies the comprehensive value of new energy replacing power supply, scientifically assesses the comprehensive benefits of new energy replacing traditional energy, and evaluates the technical value of ensuring the safe and reliable operation of the power grid. It provides decision support for the selection of new energy replacement paths for regional power grids.

[0047] The evaluation method of this invention is more comprehensive. By constructing a multi-dimensional comprehensive evaluation system, it takes into account factors such as confidence output guarantee, peak load support capacity and reliable peak power generation capacity. This overcomes the shortcomings of traditional evaluation methods with only one dimension and can comprehensively reflect the comprehensive benefits of new energy alternative power supply.

[0048] This invention has strong dynamic evaluation capabilities. The new energy data can be simulated using time-series operation technology, which can accurately characterize the fluctuation and intermittency of new energy output, realize the dynamic evaluation of the benefits of new energy substitution, and the evaluation results are more consistent with the actual operation of the power grid.

[0049] This invention assesses and guarantees power generation capacity through wind and solar power confidence output indicators, and then feeds back safety and reliability indicators, incorporating grid safety and reliability indicators into the evaluation system. This allows for a quantitative assessment of the impact of renewable energy substitution on grid safety operation, provides early warning for the safety of substitution schemes, and ensures the power supply reliability of the grid after renewable energy substitution. This invention quantifies the capacity support value of renewable energy systems during severe times through peak power generation capacity indicators, and feeds back peak guarantee indicators. This invention also quantifies the temporal matching degree between renewable energy output and peak load periods through peak proportion indicators, revealing the economic value of renewable energy power generation in alleviating grid operation pressure and reducing peak shaving costs.

[0050] This invention can assess the benefits of new energy substitution under different policy conditions and power grid structures, providing a scientific basis for regional power grid new energy planning and investment decisions, promoting the safe and efficient substitution of new energy, and has significant application value in the field of regional power grid new energy substitution benefit assessment, providing decision support for energy transition.

[0051] This disclosure can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of this disclosure.

[0052] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example—but not limited to—electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0053] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0054] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0055] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A method for evaluating the benefits of reliable alternative power supply from new energy sources in a regional power grid, characterized in that: Acquire new energy data, load data, and meteorological data, and preprocess all data; The confidence output index of wind and solar power is calculated based on new energy data and meteorological data; Peak percentage and peak power generation capacity indicators are calculated based on new energy data and load data. The comprehensive benefit value is calculated based on the wind and solar power confidence output index, peak percentage index, and peak power generation capacity index, and a comprehensive evaluation report and visualization are generated.

2. The method for evaluating the benefits of reliable alternative power supply from new energy sources in a regional power grid according to claim 1, characterized in that: The wind and solar power confidence output indicators calculated based on new energy data and meteorological data include: The capacity factor sequences for wind power and photovoltaic power were calculated based on new energy data and meteorological data, respectively. The wind power and photovoltaic capacity factor sequences are arranged in descending order, and capacity factor thresholds corresponding to preset proportions of wind power and photovoltaic confidence levels are selected to obtain the average confidence output ratio of wind power and photovoltaic power. Multiply the average confidence output ratios of wind power and photovoltaic power by the installed capacity of wind power and photovoltaic power, respectively, to obtain the average confidence output of wind power and photovoltaic power. The wind power and photovoltaic confidence output index is obtained by weighted averaging of the average confidence output of wind power and photovoltaic power.

3. The method for evaluating the benefits of reliable alternative power supply from new energy sources in a regional power grid according to claim 1, characterized in that: The peak percentage index and peak power generation capacity index, calculated based on new energy data and load data, include: Identify the critical periods for peak summer demand, peak winter demand, and peak load periods based on load data; The peak load period is extracted based on the critical periods of peak summer and peak winter, and the peak load percentage is calculated by combining new energy data. The peak power generation capacity index is calculated by extracting the load curve during peak load periods and combining it with new energy data.

4. The method for evaluating the benefits of reliable alternative power supply from new energy sources in a regional power grid according to claim 3, characterized in that: The peak load period is extracted based on the critical periods of peak summer and peak winter, and the peak load percentage is calculated by combining it with new energy data. This includes: The average output of new energy sources during the evening peak load period is calculated based on new energy data, and the average load during the evening peak load period is calculated based on load data. The peak percentage index is obtained by dividing the average output of new energy by the average load during the evening peak.

5. The method for evaluating the benefits of reliable alternative power supply from new energy sources in a regional power grid according to claim 3, characterized in that: The method of extracting load curves based on peak load periods and calculating peak power generation capacity indicators by combining them with new energy data includes: Based on the extraction of new energy data, peak output of new energy during peak load periods and peak capacity support provided by the coordinated operation of new energy and system energy storage; The probability distribution of available capacity is obtained by statistically distributing the peak output of new energy sources, and the time-series matching characteristics are obtained by comparing and analyzing the peak output of new energy sources with the load curve. The peak power generation capacity index is obtained by combining the probability distribution of available capacity, time-series matching characteristics, and peak capacity support using a probabilistic assessment method.

6. The method for evaluating the benefits of reliable alternative power supply from new energy sources in a regional power grid according to claim 1, characterized in that: The comprehensive benefit value calculated based on the wind power and solar power confidence output index, peak percentage index, and peak power generation capacity index includes: The wind power and solar power confidence output index, peak ratio index, and peak power generation capacity index are standardized and converted into dimensionless standardized values. By combining subjective and objective weighting methods to determine the comprehensive weight of each indicator, the standardized values ​​and their corresponding comprehensive weights are weighted and summed to obtain the comprehensive benefit value.

7. The method for evaluating the benefits of reliable alternative power supply from new energy sources in a regional power grid according to claim 1, characterized in that: The new energy data can be analyzed for time-series characteristics to generate new energy output curves and annual output sequences.

8. A benefit evaluation system for reliable alternative power supply of new energy sources in a regional power grid, operating the benefit evaluation method for reliable alternative power supply of new energy sources in a regional power grid as described in any one of claims 1 to 7, characterized in that: The benefit evaluation system includes: a data acquisition module (1), a calculation module (2), an evaluation module (3), and an output display module (4). The data acquisition module (1) is used to acquire new energy data, load data and meteorological data, and to preprocess all data; The calculation module (2) is used to calculate the wind power and photovoltaic confidence output index based on new energy data and meteorological data, and to calculate the peak proportion index and peak power generation capacity index based on new energy data and load data. The evaluation module (3) is used to calculate the comprehensive benefit value based on the wind power and photovoltaic confidence output index, peak proportion index and peak power generation capacity index; The output display module (4) is used to generate a comprehensive evaluation report and a visual display.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the computer program is loaded into the processor, it implements a method for evaluating the benefits of reliable alternative power supply of new energy sources in a regional power grid, as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements a method for evaluating the benefits of reliable alternative power supply of new energy sources in a regional power grid, as described in any one of claims 1 to 7.

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