High-quality net rack evaluation method based on low-carbon resource flexible consumption

Abstract

The invention discloses a high-quality net rack evaluation method based on flexible consumption of low-carbon resources, and belongs to the technical field of electric power systems.The high-quality net rack evaluation method based on flexible consumption of low-carbon resources comprises the following steps that S1, advanced technologies and experience in the aspect of power distribution network net rack evaluation at home and abroad are investigated and analyzed; s2, selecting an investigation area, and investigating the net rack in the selected investigation area; s3, analyzing a result and a development target according to the investigation problem; and S4, adopting a subjective weighting method, an objective weighting method and a combined weighting method. Through a comprehensive network frame evaluation system, a decision maker can more accurately understand existing problems and development potential of the power distribution network so as to make a more clear decision. By establishing an evaluation index system which is reliable in power supply, economical, efficient, green, low-carbon, high in service quality and friendly in digital intelligence, sustainable development of economy and society can be promoted, the service level and customer satisfaction can be improved, the decision process can be optimized, and the resource utilization efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the field of power systems, and in particular to a high-quality grid evaluation method based on flexible consumption of low-carbon resources. Background Art

[0002] At present, with the rapid development of social economy and the continuous advancement of science and technology, the power system, as an important infrastructure of modern society, and the distribution network, as an important part of the power system, are directly related to the quality and efficiency of power supply and are an important bridge between the power system and users. The establishment of a distribution network structure evaluation index system is of great significance for guiding the planning, construction, operation and maintenance of distribution networks, and is a key tool for improving the management level of distribution networks and the quality of power supply;

[0003] At present, the evaluation dimension of traditional distribution network framework is single, and it is unable to take into account issues such as new energy access, green consumption, digital transformation, and customer service quality. Therefore, it is necessary to establish a new evaluation system to meet the requirements for distribution network evaluation in the context of new power system construction.

[0004] The above-mentioned prior art solutions have the following defects:

[0005] 1. The evaluation indicators are single, focusing only on reliability and economy, while ignoring green and low-carbon, high-quality services, and digital intelligence friendliness. They lack systematicity and comprehensiveness, and are difficult to fully reflect the construction requirements of the distribution network under the new situation;

[0006] 2. With the large-scale access of distributed new energy and the continuous emergence of new loads, the existing evaluation system cannot adapt to the changes in this situation. Summary of the invention

[0007] In order to make up for the above shortcomings, the present invention discloses a high-quality grid evaluation method based on flexible consumption of low-carbon resources, aiming to solve the distribution network development requirements under the new situation faced by the current grid.

[0008] The embodiment of the present application provides a high-quality grid evaluation method based on flexible consumption of low-carbon resources, comprising the following steps:

[0009] S1: Research and analyze advanced technologies and experiences in distribution network evaluation at home and abroad;

[0010] S2: Select a research area and conduct a research on the grid in the selected research area to understand the current pain points and shortcomings of the grid in the research area, as well as the goals for future development;

[0011] S3: Based on the analysis results of the research questions and development goals, clarify the hierarchical division, indicator selection and criteria of the evaluation system, and build an indicator system based on the research area;

[0012] S4: Use subjective weighting method, objective weighting method and combined weighting method to determine the weight of each indicator;

[0013] S5: Construct a judgment matrix through expert scoring or data analysis to ensure that the relative importance of indicators is reasonably reflected;

[0014] S6: Use the evaluation system to score the current grid and target grid clusters, obtain scoring results, explain the gap between the current grid and the development goals, and clarify the focus of future grid development.

[0015] In a preferred embodiment of the present invention, the survey area includes reliable power supply, economic efficiency, green and low-carbon, high-quality service, and digital and intelligent friendliness. The core indicators of reliable power supply, economic efficiency, and the auxiliary indicators of green and low-carbon, high-quality service, and digital and intelligent friendliness form an evaluation index system; a reasonable and accurate index system will have a direct impact on improving the planning effectiveness evaluation efficiency and effectiveness evaluation effect of the medium voltage target grid.

[0016] In a preferred embodiment of the present invention, each dimension of the survey area includes power supply reliability indicators, economic and efficient indicators, green and low-carbon indicators, service quality indicators and digital-friendly indicators; these five evaluation indicator dimensions constitute a whole, which can not only effectively evaluate the advantages and disadvantages of the medium-voltage target grid, but also be used to guide the direction of future regional development; based on the collected data, the calculation formula is determined to calculate the value of each indicator; these indicators may also include but are not limited to renewable energy penetration, grid flexibility, power system reliability, energy efficiency, etc.

[0017] In a preferred embodiment of the present invention, the power supply reliability index quantifies subordinate indicators including:

[0018] ① Power supply reliability:

[0019] ② All substations are shut down and fully operated:

[0020] ③Substation main transformer N-1 pass rate:

[0021] ④10kV medium voltage line N-1 pass rate:

[0022] ⑤10kV line connection rate:

[0023] ⑥Distribution automation three-remote terminal coverage rate:

[0024]

[0025] ⑦ Distribution automation site optical fiber coverage rate:

[0026]

[0027] ⑧Distribution automation coverage:

[0028] In a preferred embodiment of the present invention, in the full stop and full transfer of the substation (A2), the full stop and full transfer means that after the substation is completely shut down, the load carried by the medium-voltage public line can be fully transferred to other substations through the medium-voltage line;

[0029] In the N-1 pass rate (A4) of the medium-voltage line, meeting N-1 means that when the line has an N-1 outage, the non-fault section should restore power supply as soon as possible through relay protection automatic devices, automation means or on-site manual switching, and the fault section should restore power supply after the fault is repaired.

[0030] In a preferred embodiment of the present invention, the economic efficiency index quantifies subordinate indicators including:

[0031] ① Comprehensive line loss rate:

[0032] ②Average equipment load rate:

[0033] ③Increase in electricity supply per unit investment: In a preferred embodiment of the present invention, the green and low-carbon index quantification subordinate indicators include:

[0034] ① New energy penetration rate:

[0035] ② New energy utilization rate:

[0036] ③Distributed power access rate:

[0037] ④ Electric vehicle charging pile registration and access rate:

[0038] ⑤Adjustable resource call rate: In a preferred embodiment of the present invention, the service quality index quantification subordinate indicators include:

[0039] ① Customer business expansion service time limit compliance rate:

[0040]

[0041] ② Exchange rate for the “Ten Commitments” of power supply services: In a preferred embodiment of the present invention, the digital intelligence friendly index quantifies the subordinate indicators including:

[0042] ① Intelligent converged terminal coverage:

[0043] ②Digitalization rate of power distribution business:

[0044] ③Demand management saves electricity:

[0045]

[0046] ④ Corresponding load reduction rate on the demand side:

[0047] ⑤Online monitoring rate of grid-connected distributed power sources:

[0048]

[0049] ⑥Load monitoring rate of load control system:

[0050] In a preferred embodiment of the present invention, S1 also includes data collection, which collects data related to the evaluation indicators, including renewable energy power generation data, power grid operation data and load demand data; these data can come from actual monitoring, simulation calculations or other reliable sources.

[0051] Beneficial effects: Further focus on the research on the main grid structure of high-quality medium-voltage distribution networks for flexible utilization of low-carbon resources in different typical regions with differentiated reliability, economy and low-carbon resources, and provide a comprehensive, scientific and operational evaluation index system. This system can comprehensively consider the reliability, economy, green and low-carbon, high-quality services, and digital intelligence friendliness of the medium-voltage target grid to support the applicability and rationality of the target grid to meet the development needs of the medium-voltage target grid of the distribution network. Through this evaluation system, it serves the high-quality development of the distribution network and provides an important basis for decision makers on the development of regional power grids. It solves the problem of distribution network development requirements under the new situation faced by the current grid;

[0052] 1. Through a comprehensive grid evaluation system, decision makers can more accurately understand the existing problems and development potential of the distribution network and make clearer decisions.

[0053] 2. The evaluation system can help identify key pain points and priority investment areas in the medium-voltage grid, thereby optimizing capital allocation and improving investment efficiency.

[0054] 3. By establishing a green, low-carbon, high-quality, and digitally intelligent evaluation index system, it can promote the sustainable development of the economy and society, improve service levels and customer satisfaction, optimize decision-making processes, improve resource utilization efficiency, and promote technological innovation;

[0055] 4. The evaluation system is flexible. The weights of evaluation indicators can be adjusted for different regions to enhance the universality of the evaluation system.

[0056] 5. By establishing a service indicator evaluation system, power companies can pay more attention to users' service experience, respond to user needs in a timely manner, improve the quality and efficiency of power supply services, and thus improve user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions of the implementation methods of the present application, the drawings required for use in the implementation methods will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0058] Figure 1 It is a flow chart of the idea of ​​evaluating a low-carbon, flexible, high-quality grid provided by an embodiment of the present invention;

[0059] Figure 2 A schematic diagram of the selection of indicators for evaluating a low-carbon, flexible, high-quality grid provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0060] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be directly connected or indirectly connected through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0061] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly below and obliquely below the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0062] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application; the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments.

[0063] See also Figure 1-Figure 2 The present invention provides a high-quality grid evaluation method based on flexible consumption of low-carbon resources, comprising the following steps:

[0064] S1: Research and analyze advanced technologies and experiences in distribution network evaluation at home and abroad;

[0065] S2: Select a research area and conduct a research on the grid in the selected research area to understand the current pain points and shortcomings of the grid in the research area, as well as the goals for future development;

[0066] S3: Based on the analysis results of the research questions and development goals, clarify the hierarchical division, indicator selection and criteria of the evaluation system, and build an indicator system based on the research area;

[0067] S4: Use subjective weighting method, objective weighting method and combined weighting method to determine the weight of each indicator;

[0068] S5: Construct a judgment matrix through expert scoring or data analysis to ensure that the relative importance of indicators is reasonably reflected;

[0069] S6: Use the evaluation system to score the current grid and target grid clusters, obtain scoring results, explain the gap between the current grid and the development goals, and clarify the focus of future grid development.

[0070] In a specific implementation of the present invention, the survey area includes reliable power supply, economic efficiency, green and low-carbon, high-quality service, and digital and intelligent friendliness. The core indicators of reliable power supply, economic efficiency, and auxiliary indicators of green and low-carbon, high-quality service, and digital and intelligent friendliness form an evaluation index system; a reasonable and accurate index system will have a direct impact on improving the planning effectiveness evaluation efficiency and effectiveness evaluation effect of the medium voltage target grid.

[0071] In a specific embodiment of the present invention, each dimension of the survey area includes power supply reliability indicators, economic and efficient indicators, green and low-carbon indicators, service quality indicators and digital-friendly indicators; these five evaluation indicator dimensions constitute a whole, which can not only effectively evaluate the advantages and disadvantages of the medium-voltage target grid, but also be used to guide the direction of future regional development; based on the collected data, the calculation formula is determined to calculate the value of each indicator; these indicators may also include but are not limited to renewable energy penetration, grid flexibility, power system reliability, energy efficiency, etc.

[0072] In a specific embodiment of the present invention, the power supply reliability index quantifies subordinate indicators including:

[0073] ① Power supply reliability:

[0074] ② All substations are shut down and fully operated:

[0075] ③Substation main transformer N-1 pass rate:

[0076] ④10kV medium voltage line N-1 pass rate:

[0077] ⑤10kV line connection rate:

[0078] ⑥Distribution automation three-remote terminal coverage rate:

[0079]

[0080] ⑦ Distribution automation site optical fiber coverage rate:

[0081]

[0082] ⑧Distribution automation coverage:

[0083] In a specific embodiment of the present invention, in the full stop and full transfer of the substation (A2), the full stop and full transfer means that after the substation is completely shut down, the load carried by the medium-voltage public line can be fully transferred to other substations through the medium-voltage line;

[0084] In the N-1 pass rate (A4) of the medium-voltage line, meeting N-1 means that when the line has an N-1 outage, the non-fault section should restore power supply as soon as possible through relay protection automatic devices, automation means or on-site manual switching, and the fault section should restore power supply after the fault is repaired.

[0085] In a specific embodiment of the present invention, the economic efficiency index quantifies subordinate indicators including:

[0086] ① Comprehensive line loss rate:

[0087] ②Average equipment load rate:

[0088] ③Increase in electricity supply per unit investment:

[0089] In a specific embodiment of the present invention, the green and low-carbon index quantification subordinate indicators include

[0090] ① New energy penetration rate:

[0091] ② New energy utilization rate:

[0092] ③Distributed power access rate:

[0093] ④ Electric vehicle charging pile registration and access rate:

[0094] ⑤Adjustable resource call rate:

[0095] In a specific embodiment of the present invention, the service quality index quantification subordinate indicators include

[0096] ① Customer business expansion service time limit compliance rate:

[0097]

[0098] ② Exchange rate for the “Ten Commitments” of power supply services:

[0099] In a specific embodiment of the present invention, the digital intelligence friendly index quantifies the subordinate indicators including:

[0100] ① Intelligent converged terminal coverage:

[0101] ②Digitalization rate of power distribution business:

[0102] ③Demand management saves electricity:

[0103]

[0104] ④ Corresponding load reduction rate on the demand side:

[0105] ⑤Online monitoring rate of grid-connected distributed power sources:

[0106]

[0107] ⑥Load monitoring rate of load control system:

[0108] In a specific implementation of the present invention, S1 also includes data collection, collecting data related to the evaluation indicators, including renewable energy power generation data, power grid operation data and load demand data; these data can come from actual monitoring, simulation calculation or other reliable sources.

[0109] This high-quality grid evaluation method based on the flexible consumption of low-carbon resources further focuses on the reliability, economy and low-carbon resources. The research on the main grid structure of high-quality medium-voltage distribution network for flexible utilization of low-carbon resources in different typical regions provides a comprehensive, scientific and operational evaluation index system. The system can comprehensively consider the reliability, economy, green and low-carbon, high-quality service, digital and intelligent friendliness of the medium-voltage target grid to support the applicability and rationality of the target grid to meet the development needs of the medium-voltage target grid of the distribution network. Through this evaluation system, it serves the high-quality development of the distribution network and provides an important basis for decision makers on the development of regional power grids. It solves the problem of distribution network development requirements under the new situation faced by the current grid;

[0110] Through a comprehensive grid evaluation system, decision makers can more accurately understand the existing problems and development potential of the distribution network and make clearer decisions.

[0111] The evaluation system can help identify key pain points and priority investment areas in the medium-voltage grid, thereby optimizing capital allocation and improving investment efficiency.

[0112] By establishing a green, low-carbon, high-quality, and digitally intelligent evaluation index system, we can promote the sustainable development of the economy and society, improve service levels and customer satisfaction, optimize the decision-making process, improve resource utilization efficiency, and promote technological innovation.

[0113] The evaluation system is flexible and its universality can be enhanced by adjusting the weights of evaluation indicators for different regions.

[0114] By establishing a service indicator evaluation system, power companies can pay more attention to users' service experience, respond to user needs in a timely manner, improve the quality and efficiency of power supply services, and thus improve user satisfaction.

[0115] Reliable power supply: Power supply reliability indicators play a huge role in ensuring reliable electricity supply to residents and social development, and grid reliability evaluation is the theoretical basis and basis for the safe construction and rapid development of the target grid;

[0116] Economic and efficient: Economic and efficient indicators can help understand the inefficient links in grid operation and construction, thereby guiding the rational allocation of resources, reducing unnecessary waste, and improving the overall economic efficiency of the grid;

[0117] Green and low-carbon: Green and low-carbon indicators help promote the transformation of the power system to a low-carbon economy, reduce negative impacts on the environment, and promote sustainable development;

[0118] Service quality: Service quality indicators can measure the response speed, service attitude and service efficiency of power grid companies in the process of providing services, thereby promoting power grid companies to improve the quality of power supply services and enhance users' sense of gain and satisfaction;

[0119] Digital and intelligent friendliness: Digital and intelligent friendly indicators help evaluate the intelligence level of distribution networks and effectively promote the construction of digital and intelligent distribution networks.

[0120] Typical case: Select area A as a typical area and establish evaluation indicators:

[0121] Basic situation of the power grid in Area A: Area A covers an area of ​​288 square kilometers, with a power supply population of 328,000 and 178,400 business households. The maximum load in 2023 is 31.554MW, the total social power consumption is 1.322 billion kWh, the comprehensive voltage qualification rate is 99.949%, and the average distribution capacity per household is 3.41kVA. The evaluation index selection and calculation formula are shown in Table 1;

[0122] Table 1 Specific situation of evaluation indicators

[0123]

[0124]

[0125] Indicator calculation results

[0126] Power supply reliability index

[0127] ① Power supply reliability:

[0128] ② All substations are shut down and fully operated:

[0129]

[0130] Note: Full stop and full transfer means that after the entire substation is shut down, the load carried by the medium-voltage public line can be transferred to other substations through the medium-voltage line.

[0131] ③Substation main transformer N-1 pass rate:

[0132] ④10kV medium voltage line N-1 pass rate:

[0133]

[0134] Note: Meeting N-1 means that when the line experiences an N-1 outage, the non-fault section should resume power supply as soon as possible through relay protection automatic devices, automated means or on-site manual switching, and the fault section should resume power supply after the fault is repaired.

[0135] ⑤10kV line connection rate:

[0136] ⑥Distribution automation three-remote terminal coverage rate:

[0137]

[0138] ⑦ Distribution automation site optical fiber coverage rate:

[0139]

[0140] ⑧Distribution automation coverage:

[0141]

[0142] Economic efficiency index

[0143] ① Comprehensive line loss rate:

[0144] ②Average equipment load rate: ③Increase in electricity supply per unit investment:

[0145]

[0146] Green and low-carbon indicators

[0147] ① New energy penetration rate:

[0148] ② New energy utilization rate:

[0149]

[0150] ③Distributed power access rate:

[0151]

[0152] ④ Electric vehicle charging pile registration and access rate:

[0153]

[0154] ⑤Adjustable resource call rate:

[0155]

[0156] Service quality indicators

[0157] ① Customer business expansion service time limit compliance rate:

[0158]

[0159] ② Exchange rate for the “Ten Commitments” of power supply services:

[0160]

[0161] Digital and intelligent friendly indicators

[0162] ① Intelligent converged terminal coverage:

[0163]

[0164] ②Digitalization rate of power distribution business:

[0165]

[0166] ③Demand management saves electricity:

[0167]

[0168] ④ Corresponding load reduction rate on the demand side:

[0169]

[0170] ⑤Online monitoring rate of grid-connected distributed power sources:

[0171]

[0172] ⑥Load monitoring rate of load control system:

[0173]

[0174] Weight calculation

[0175] Index weight refers to the quantitative value of the relative importance of each evaluation index in the overall evaluation score. Its calculation method can be divided into subjective weighting method, objective weighting method and combined weighting method. In this paper, the subjective weighting method uses the analytic hierarchy process to calculate the weight, the objective weighting method uses the CRI TIC method to calculate the weight, and the combined weighting method uses the cooperative game method to calculate the weight. Table 2 shows the final calculation results.

[0176] Table 2 Weights of comprehensive evaluation indicators for medium voltage grid

[0177]

[0178]

[0179] When analyzing the effectiveness of distribution network planning, it is necessary to determine the rationality of the values ​​of each indicator, because only when the indicators are within a certain range can the power grid achieve a relatively good operating effect. This article combines the values ​​of some indicators given in the "Guidelines for Urban Distribution Network Planning and Design" and other guidelines, and then combines the experience of many experts in existing literature to finally determine the evaluation criteria for the following indicators.

[0180] Table 3 Index scoring results

[0181]

[0182]

[0183] Calculation results: The evaluation dimension scores were obtained based on the combined weights and the scoring results of each indicator. The final overall score of Area A was 80.81 points through the criterion layer weight scoring.

[0184] Table 4 Calculation results

[0185]

[0186] Conclusion: This patent takes into account that the existing evaluation system is only for distribution networks, and there is no index system for evaluating medium-voltage target grids. With the large-scale access of distributed new energy and the continuous emergence of new loads, the existing evaluation system cannot support the evaluation of this situation. For this reason, a comprehensive and systematic evaluation system is now established to evaluate the medium-voltage target grid from five dimensions: reliable power supply, economic efficiency, green and low-carbon, high-quality service, and digital intelligence friendliness. The weak links of the distribution network grid are found based on the quantitative results of each indicator, providing effective suggestions and practical theoretical support for power grid construction. The current grid score is 80.01 points, and the scores of economic efficiency, green and low-carbon, and digital intelligence friendliness are below 80 points. Future investment should focus on improving the indicators in these three dimensions.

[0187] The above description is only an embodiment of the present invention and is not intended to limit the scope of protection of the present invention. For those skilled in the art, the present invention may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention. It should be noted that similar numbers and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

Claims

1. A high-quality grid evaluation method based on flexible consumption of low-carbon resources, characterized in that: The steps include: S1: Research and analyze advanced technologies and experiences in distribution network evaluation at home and abroad; S2: Select a research area and conduct a research on the grid in the selected research area; S3: Based on the analysis results of the research questions and development goals, clarify the hierarchical division, indicator selection and criteria of the evaluation system, and build an indicator system based on the research area; S4: Use subjective weighting method, objective weighting method and combined weighting method to determine the weight of each indicator; S5: Construct a judgment matrix through expert scoring or data analysis to ensure that the relative importance of indicators is reasonably reflected; S6: Use the evaluation system to score the current grid and target grid clusters, obtain scoring results, explain the gap between the current grid and the development goals, and clarify the focus of future grid development.

2. A high-quality grid evaluation method based on flexible consumption of low-carbon resources according to claim 1, characterized in that: The survey areas include reliable power supply, economical and efficient, green and low-carbon, high-quality services, and digital and intelligent friendliness.

3. A high-quality grid evaluation method based on flexible consumption of low-carbon resources according to claim 2, characterized in that: Each dimension of the survey area includes power supply reliability indicators, economic and efficient indicators, green and low-carbon indicators, service quality indicators, and digital and intelligent friendly indicators; these five evaluation indicator dimensions constitute a whole, which can not only effectively evaluate the advantages and disadvantages of the medium-voltage target grid, but also be used to guide the direction of future regional development.

4. A high-quality grid evaluation method based on flexible consumption of low-carbon resources according to claim 3, characterized in that: The quantitative indicators of the power supply reliability index include: ① Power supply reliability: ② All substations are shut down and fully operated: ③Substation main transformer N-1 pass rate: ④10kV medium voltage line N-1 pass rate: ⑤10kV line connection rate: ⑥Distribution automation three-remote terminal coverage rate: ⑦ Distribution automation site optical fiber coverage rate: ⑧Distribution automation coverage:

5. A high-quality grid evaluation method based on flexible consumption of low-carbon resources according to claim 4, characterized in that: In the substation full stop and full transfer (A2), full stop and full transfer means that after the substation is completely shut down, the load carried by the medium-voltage public line can be fully transferred to other substations through the medium-voltage line; In the N-1 pass rate (A4) of the medium-voltage line, meeting N-1 means that when the line has an N-1 outage, the non-fault section should restore power supply as soon as possible through relay protection automatic devices, automation means or on-site manual switching, and the fault section should restore power supply after the fault is repaired.

6. A high-quality grid evaluation method based on flexible consumption of low-carbon resources according to claim 3, characterized in that: The quantitative indicators of economic efficiency indicators include: ① Comprehensive line loss rate: ②Average equipment load rate: ③Increase in electricity supply per unit investment:

7. A high-quality grid evaluation method based on flexible consumption of low-carbon resources according to claim 3, characterized in that: The quantitative indicators of green and low-carbon indicators include: ① New energy penetration rate: ② New energy utilization rate: ③Distributed power access rate: ④ Electric vehicle charging pile registration and access rate: ⑤ Adjustable resource call rate:

8. A high-quality grid evaluation method based on flexible consumption of low-carbon resources according to claim 3, characterized in that: The quantitative indicators of service quality indicators include: ① Customer business expansion service time limit compliance rate: ② Exchange rate for the "Ten Commitments" of power supply services:

9. A high-quality grid evaluation method based on flexible consumption of low-carbon resources according to claim 3, characterized in that: The quantitative indicators of digital intelligence friendly indicators include: ① Intelligent converged terminal coverage: ②Digitalization rate of power distribution business: ③Demand management saves electricity: ④ Corresponding load reduction rate on the demand side: ⑤Online monitoring rate of grid-connected distributed power sources: ⑥Load monitoring rate of load control system:

10. A high-quality grid evaluation method based on flexible consumption of low-carbon resources according to claim 1, characterized in that: S1 also includes data collection, which collects data related to evaluation indicators, including renewable energy power generation data, power grid operation data and load demand data; these data can come from actual monitoring, simulation calculations or other reliable sources.

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