Five-dimensional modern intelligent power distribution grid evaluation method and system

Abstract

The invention discloses a five-dimensional modern intelligent power distribution grid evaluation method and system. The method comprises the following steps: collecting project information data, determining and evaluating indexes at all levels, forming an active power distribution grid evaluation system, and endowing reasonable weight coefficients for the indexes at all levels; calculating current situation data of each index; determining a reference value and a target value of each index, scoring each level of index by using a linear difference method and a reference analysis method, obtaining a superior evaluation score by using a successive hierarchical evaluation method, and obtaining a comprehensive score of the project through comprehensive analysis; and the project is evaluated from the five dimensions of reliability, green, high efficiency, intelligence and interaction. According to the method, comprehensiveness, scientificity and adaptability in analysis of a power supply side, a power grid side and a load side are guaranteed through a multi-dimensional analytic hierarchy process and a linear difference method, and the relationship between input and output of a modern intelligent power distribution network is processed for a power grid; and a theoretical support is provided for realizing diversified interaction of electrical loads and a modern intelligent power distribution network with active and flexible network operation.

Description

Technical Field

[0001] The present invention relates to the technical field of smart distribution network, and in particular to a five-dimensional modern smart distribution grid evaluation method and system. Background Art

[0002] The modern smart distribution network is a distribution network that takes intelligent empowerment as its path, and is positioned as a public service platform and resource allocation platform that carries multiple users, connects multiple energy sources, and creates multi-dimensional value. It is characterized by highly self-healing networks, active support and regulation, plug-and-play for users, and free energy conversion. It focuses on safe and reliable, green and low-carbon, flexible and efficient, transparent and intelligent, and open and interactive development. It is a distribution network that is upgraded from traditional to modern and from digital to intelligent. As an important part of the new power system, the distribution network has all the elements of the new power system, undertakes the extensive access of multiple entities such as distributed power sources, and carries the vigorous development of new businesses, new formats, and new models.

[0003] In this context, the traditional distribution network urgently needs to be upgraded to a "modern smart distribution network" through high-quality development and construction, and comprehensively improve the distribution network's ability to ensure safe power supply, clean energy consumption, multiple load carrying capacity, and optimize resource allocation. Therefore, how to ensure the comprehensiveness, scientificity, and adaptability of the analysis on the power supply side, grid side, and load side has become a technical problem that people urgently need to solve. Summary of the invention

[0004] In response to the above-mentioned technical problems in the related technology, the present invention proposes a five-dimensional modern intelligent distribution grid evaluation method and system, which can overcome the above-mentioned shortcomings of the prior art.

[0005] To achieve the above technical objectives, the technical solution of the present invention is implemented as follows:

[0006] A five-dimensional modern smart distribution grid evaluation method includes the following steps:

[0007] S1: Comprehensively collect project information data, combine local planning conditions, determine evaluation indicators at all levels, and form a complete active distribution grid evaluation system based on the five dimensions of reliability, green, efficiency, intelligence, and interaction. Fully consider relevant documents and project conditions, and assign reasonable weight coefficients to indicators at all levels;

[0008] S2: Collect data according to the project and calculate the status data of each indicator;

[0009] S3: Determine the baseline value and target value of each indicator, use the linear difference method and benchmark analysis method to score the indicators at all levels, then use the recursive hierarchical evaluation method to obtain the superior evaluation score, and conduct a comprehensive analysis to obtain the comprehensive score of the project;

[0010] The specific steps of step S3 are as follows:

[0011] S301 uses the linear difference method and benchmark analysis method to score indicators at all levels. The linear difference method is based on the differences between rising indicators and falling indicators. The specific operation method is as follows:

[0012] For rising indicators, the score below the benchmark value is 60 or 80 points, and the score above the target value is 100. The middle part is linearly distributed. m is the target value of the indicator, j is the benchmark value of the indicator, and x is the current value of the indicator. The score f(x) of the indicator can be calculated by formula 1) and formula 2):

[0013] When the benchmark value corresponds to a score of 60 points,

[0014]

[0015] When the benchmark value corresponds to a score of 80 points,

[0016]

[0017] Similarly, for the decreasing index, the score above the benchmark value is 60 or 80 points, and the score below the target value is 100 points. The middle part is linearly distributed. With m as the target value, j as the index benchmark value, and x as the current value of the index, the score f(x) of the index can be calculated by formula 3) and formula 4):

[0018] When the benchmark value corresponds to a score of 60 points,

[0019]

[0020] When the benchmark value corresponds to a score of 80 points,

[0021]

[0022] S302 uses the hierarchical analysis method to calculate the comprehensive score of the project based on the scores of the secondary indicators;

[0023] S4: Evaluate the project from five dimensions: reliability, green, efficiency, intelligence, and interaction, and compare the completion status of similar domestic projects to conduct comprehensive investment evaluation and analysis, identify project shortcomings, and provide construction strategies;

[0024] S5: Comprehensively evaluate the process and results, point out the strengths and weaknesses, put forward suggestions for improvement, draw evaluation conclusions, and write an evaluation report.

[0025] Furthermore, the specific steps of step S1 are as follows:

[0026] S101 collects local data and establishes a preliminary evaluation system based on five dimensions: reliability, greenness, efficiency, intelligence, and interaction;

[0027] S102 conducted field visits and investigated the scale of the local power grid to summarize the local load, power development and distribution network planning;

[0028] S103 is based on a preliminary five-dimensional evaluation system, with each dimension divided into four secondary indicators, to construct a three-dimensional framework consisting of twenty secondary indicators;

[0029] S104 is divided into 9 measurement scales, and the relative importance of indicators at all levels is obtained by comparison and arrangement, and weight values ​​are assigned to each indicator according to the relative importance;

[0030] S105 forms a complete active distribution grid evaluation system.

[0031] Furthermore, the secondary indicators of the reliability dimension include power supply reliability rate, comprehensive voltage qualification rate, medium voltage distribution network grid structure standardization rate and 10 kV line N-1 pass rate; the secondary indicators of the green dimension include distributed power supply grid connection rate, comprehensive line loss rate of medium and low voltage distribution networks, electric vehicle charging network service radius and clean energy power generation consumption rate; the secondary indicators of the high efficiency dimension include 10 kV line average load rate, 95% maximum load duration (h), average load peak-to-valley difference rate and planned balanced load proportion; the secondary indicators of the smart dimension include distribution automation practical level, uninterrupted operation rate, distribution network digital mapping level and power flexible switch coverage rate; the secondary indicators of the interactive dimension include demand-side response resource proportion, flexible adjustment resource proportion, distributed power supply observable, measurable and controllable access rate and Internet of Vehicles user interaction index.

[0032] Furthermore, the specific steps of step S2 are as follows:

[0033] The calculation method of the four secondary indicators under the S201 reliability dimension is:

[0034] Power supply reliability rate (%) = (1-average power outage time for users / statistical period) × 100%;

[0035] Comprehensive voltage qualification rate (%) = 0.5 × VA + 0.5 × (VB + VC + VD) / 3, where VA, VB, VC, and VD are the qualification rates of class A, B, C, and D voltages respectively;

[0036] Standardization rate of medium voltage distribution network structure (%) = (number of lines adopting standard structure / total number of lines) × 100%;

[0037] 10kV N-1 pass rate (%) = number of 10kV lines in the region that passed N-1 verification / total number of 10kV lines in the region × 100%;

[0038] The calculation method of the four secondary indicators under the S202 green dimension is:

[0039] Distributed power grid connection rate (%) = distributed power development capacity / regional distributed power maximum carrying capacity × 100%;

[0040] Comprehensive line loss rate of medium and low voltage distribution network (%) = (total power supply - total power sales) / total power supply × 100%;

[0041] Electric vehicle charging network service radius (km) = the maximum distance that electric vehicle customers in urban areas need to travel to the nearest public charging station;

[0042] Clean energy power generation consumption rate (%) = clean energy power generation consumed by the power grid / theoretical total clean energy power generation × 100%;

[0043] The calculation method of the four secondary indicators under the S203 high efficiency dimension is:

[0044] Average load factor of 10kV line = total load factor of 10kV lines / total number of lines;

[0045] The 95% maximum load duration can be directly obtained by collecting data;

[0046]

[0047] Planned balance load ratio = maximum load involved in the planned balance / maximum load of the whole society × 100%;

[0048] The calculation method of the four secondary indicators under the S204 wisdom dimension is:

[0049] Distribution automation practical level (%) = 0.5 × distribution automation effective coverage + 0.5 × FA self-healing success rate;

[0050] Non-stop operation rate (%) = number of inspections and replacements of power lines and equipment without power outages / total number of repairs;

[0051] Distribution network digital mapping level (%) = 0.5 × digital substation coverage rate + 0.5 × active operation and inspection work order ratio;

[0052] Power electronic flexible switch coverage rate (%) = number of power electronic flexible switches / total number of switches;

[0053] The calculation method of the four secondary indicators under the S205 interaction dimension is:

[0054] Demand-side response resource ratio (%) = (number of reserve loads included in the demand response resource library / maximum direct load ratio of the power grid) × 100%;

[0055] Proportion of flexible adjustment resources (%) = total capacity of minute-level flexible adjustment resources (precise load shedding + conventional load shedding + flexible load adjustment and energy storage) / maximum load of the entire network in the region in the horizontal year × 100%;

[0056] Distributed power generation observable, measurable and controllable rate (%) = number of distributed power generation that can be observed, measured and controlled / total number of distributed power generation × 100%;

[0057] Internet of Vehicles user interaction index (%) = the reported capacity of charging facilities that can participate in grid interaction / the total reported capacity of charging facilities in the whole society × 100%;

[0058] S206 summarizes the data to obtain a status indicator data summary table.

[0059] Furthermore, the specific steps of step S4 are as follows:

[0060] S401 uses the power supply reliability rate, comprehensive voltage qualification rate, medium-voltage distribution network grid structure standardization rate, and 10 kV N-1 passing rate as references to analyze the project reliability assessment results. According to the project scores, the indicators with lower scores are optimized by disconnecting redundant connections and reconstructing the grid with new outgoing lines from substations;

[0061] S402 uses the distributed power grid connection rate, the comprehensive line loss rate of medium and low voltage distribution networks, the service radius of electric vehicle charging networks, and the clean energy power generation and consumption rate as references to analyze the green assessment results of the project, reduce the grid line loss by increasing the proportion of clean energy, and optimize the low-scoring indicators;

[0062] S403 uses the average load rate of 10kV lines, 95% maximum load duration, average peak-to-valley difference of load, and planned balanced load ratio as references to analyze the project efficiency assessment results. By optimizing the grid, distributing loads reasonably, increasing the line load rate, and improving the light-load condition of lines, it optimizes the load characteristic curve and improves the high-efficiency capacity of the power grid.

[0063] S404 uses the practical level of distribution automation, the rate of uninterrupted operation, the level of distribution network digital mapping, and the coverage rate of power electronic flexible switches as references to analyze the results of the project's smart assessment. Through the construction of digital substations and the method of building flexible switches for new medium-voltage lines, it strengthens the transparent and smart features of the power grid and enhances the interconnection and mutual assistance capabilities of the power grid.

[0064] S405 uses the proportion of demand-side response resources, the proportion of flexible adjustment resources, the observable, measurable and controllable rate of distributed power sources, and the Internet of Vehicles user interaction index as references to analyze the project interaction evaluation results, improve the load-side demand response library, promote the observable, measurable and controllable distributed power sources on the source side, and combine project indicator scoring to solve technical shortcomings.

[0065] A five-dimensional modern intelligent distribution grid evaluation system, including:

[0066] The acquisition module is used to comprehensively collect project information data, determine the evaluation indicators at all levels in combination with local planning conditions, and form a complete active distribution grid evaluation system based on the five dimensions of reliability, green, efficiency, intelligence, and interaction. It fully considers relevant documents and project conditions and assigns reasonable weight coefficients to indicators at all levels. The calculation module is used to collect information according to the project and calculate the status data of each indicator.

[0067] The analysis module is used to determine the baseline value and target value of each indicator, and use the linear difference method and benchmark analysis method to score the indicators at all levels, and then use the recursive hierarchical evaluation method to obtain the superior evaluation score, and comprehensively analyze to obtain the comprehensive score of the project; the linear difference method and benchmark analysis method are used to score the indicators at all levels. The linear difference method is different according to the difference between rising indicators and falling indicators. The specific operation method is as follows: for rising indicators, the score below the benchmark value is 60 or 80 points, and the score above the target value is 100. The middle part is linearly distributed. m is the target value of the indicator, j is the benchmark value of the indicator, and x is the current value of the indicator. The score f(x) of the indicator can be calculated by formula 1) and formula 2):

[0068] When the benchmark value corresponds to a score of 60 points,

[0069]

[0070] When the benchmark value corresponds to a score of 80 points,

[0071]

[0072] Similarly, for the decreasing index, the score above the benchmark value is 60 or 80 points, and the score below the target value is 100 points. The middle part is linearly distributed. With m as the target value, j as the index benchmark value, and x as the current value of the index, the score f(x) of the index can be calculated by formula 3) and formula 4):

[0073] When the benchmark value corresponds to a score of 60 points,

[0074]

[0075] When the benchmark value corresponds to a score of 80 points,

[0076]

[0077] The comprehensive score of the project is calculated based on the scores of the secondary indicators using the hierarchical analysis method.

[0078] The evaluation module is used to evaluate the project from five dimensions: reliability, green, efficient, intelligent, and interactive. It also compares the completion status of similar domestic projects, conducts comprehensive investment evaluation and analysis, identifies project shortcomings, and provides construction strategies.

[0079] The comprehensive assessment module is used to comprehensively evaluate the process and results, point out the strengths and weaknesses, put forward suggestions for improvement, draw evaluation conclusions, and write evaluation reports.

[0080] Furthermore, the secondary indicators of the reliability dimension include power supply reliability rate, comprehensive voltage qualification rate, medium voltage distribution network grid structure standardization rate and 10 kV line N-1 pass rate; the secondary indicators of the green dimension include distributed power supply grid connection rate, comprehensive line loss rate of medium and low voltage distribution networks, electric vehicle charging network service radius and clean energy power generation consumption rate; the secondary indicators of the high efficiency dimension include 10 kV line average load rate, 95% maximum load duration (h), average load peak-to-valley difference rate and planned balanced load proportion; the secondary indicators of the smart dimension include distribution automation practical level, uninterrupted operation rate, distribution network digital mapping level and power flexible switch coverage rate; the secondary indicators of the interactive dimension include demand-side response resource proportion, flexible adjustment resource proportion, distributed power supply observable, measurable and controllable access rate and Internet of Vehicles user interaction index.

[0081] Furthermore, the calculation method of the four secondary indicators under (1) the reliability dimension is:

[0082] Power supply reliability rate (%) = (1-average power outage time for users / statistical period) × 100%;

[0083] Comprehensive voltage qualification rate (%) = 0.5 × VA + 0.5 × (VB + VC + VD) / 3, where VA, VB, VC, and VD are the qualification rates of class A, B, C, and D voltages respectively;

[0084] Standardization rate of medium voltage distribution network structure (%) = (number of lines adopting standard structure / total number of lines) × 100%;

[0085] 10kV N-1 pass rate (%) = number of 10kV lines in the region that passed N-1 verification / total number of 10kV lines in the region × 100%;

[0086] (2) The calculation method of the four secondary indicators under the green dimension is:

[0087] Distributed power grid connection rate (%) = distributed power development capacity / regional distributed power maximum carrying capacity × 100%;

[0088] Comprehensive line loss rate of medium and low voltage distribution network (%) = (total power supply - total power sales) / total power supply × 100%;

[0089] Electric vehicle charging network service radius (km) = the maximum distance that electric vehicle customers in urban areas need to travel to the nearest public charging station;

[0090] Clean energy power generation consumption rate (%) = clean energy power generation consumed by the power grid / theoretical total clean energy power generation × 100%;

[0091] (3) The calculation method of the four secondary indicators under the high efficiency dimension is:

[0092] Average load factor of 10kV line = total load factor of 10kV lines / total number of lines;

[0093] The 95% maximum load duration can be directly obtained by collecting data;

[0094]

[0095] Planned balance load ratio = maximum load involved in the planned balance / maximum load of the whole society × 100%;

[0096] (4) The calculation method of the four secondary indicators under the wisdom dimension is:

[0097] Distribution automation practical level (%) = 0.5 × distribution automation effective coverage + 0.5 × FA self-healing success rate;

[0098] Non-stop operation rate (%) = number of inspections and replacements of power lines and equipment without power outages / total number of repairs;

[0099] Distribution network digital mapping level (%) = 0.5 × digital substation coverage rate + 0.5 × active operation and inspection work order ratio;

[0100] Power electronic flexible switch coverage rate (%) = number of power electronic flexible switches / total number of switches;

[0101] (5) The calculation method of the four secondary indicators under the interaction dimension is:

[0102] Demand-side response resource ratio (%) = (number of reserve loads included in the demand response resource library / maximum direct load ratio of the power grid) × 100%;

[0103] Proportion of flexible adjustment resources (%) = total capacity of minute-level flexible adjustment resources (precise load shedding + conventional load shedding + flexible load adjustment and energy storage) / maximum load of the entire network in the region in the horizontal year × 100%;

[0104] Distributed power generation observable, measurable and controllable rate (%) = number of distributed power generation that can be observed, measured and controlled / total number of distributed power generation × 100%;

[0105] Internet of Vehicles user interaction index (%) = reported capacity of charging facilities that can participate in grid interaction / total reported capacity of charging facilities in the whole society × 100%.

[0106] Furthermore, the specific process of the evaluation module is as follows:

[0107] The reliability assessment results of the projects were analyzed with reference to the power supply reliability rate, comprehensive voltage qualification rate, medium-voltage distribution network grid structure standardization rate, and 10 kV N-1 passing rate. According to the project scores, the indicators with lower scores were optimized by disconnecting redundant connections and reconstructing the grid with new outgoing lines from substations.

[0108] With reference to the distributed power grid connection rate, the comprehensive line loss rate of medium and low voltage distribution networks, the service radius of electric vehicle charging network, and the clean energy power generation and consumption rate, the green assessment results of the project are analyzed, and the line loss of the power grid is reduced by increasing the proportion of clean energy, thereby optimizing the low-scoring indicators;

[0109] With reference to the average load rate of 10kV lines, 95% maximum load duration, average peak-to-valley difference of load, and planned balanced load ratio, the project efficiency assessment results are analyzed. Through grid optimization, reasonable load distribution, increasing line load rate, and improving line light load conditions, the load characteristic curve is optimized and the high efficiency of the power grid is improved.

[0110] With reference to the practical level of distribution automation, the rate of uninterrupted operation, the level of distribution network digital mapping, and the coverage rate of power electronic flexible switches, the project intelligence assessment results are analyzed. Through the construction of digital substations and the method of newly building flexible switches for medium-voltage lines, the transparent and intelligent features of the power grid are strengthened, and the interconnection and mutual assistance capabilities of the power grid are enhanced;

[0111] With reference to the proportion of demand-side response resources, the proportion of flexible adjustment resources, the observable, measurable and controllable rate of distributed power sources, and the Internet of Vehicles user interaction index, the project interaction evaluation results are analyzed, the load-side demand response library is improved, the source-side distributed power sources are promoted to be observable, measurable and controllable, and the technical shortcomings are solved in combination with the project indicator scoring.

[0112] Beneficial effects of the invention: The invention ensures the comprehensiveness, scientificity and adaptability of its analysis on the power supply side, the grid side and the load side through the multi-dimensional analytic hierarchy process and the linear difference method, pays attention to the accuracy of investment, and helps the grid to handle the relationship between input and output of the modern smart distribution network. It provides scientific support for the goal of achieving scientific investment, precise investment, trade-offs, protection and pressure, and giving full play to the benefits of limited funds, and provides theoretical support for the realization of a modern smart distribution network with clean and diversified energy supply, diverse and interactive electricity loads, and active and flexible network operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0113] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0114] Figure 1 It is a structural schematic diagram of the five-dimensional modern intelligent distribution grid evaluation method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0115] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0116] like Figure 1 As shown, in order to facilitate understanding of the above technical solutions of the present invention, the above technical solutions of the present invention are described in detail below through specific usage methods.

[0117] In specific use, the five-dimensional modern intelligent distribution grid evaluation method according to the present invention includes the following steps:

[0118] S1: Comprehensively collect project information data, combine local planning conditions, determine evaluation indicators at all levels, form a complete active distribution grid evaluation system, fully consider relevant documents and project conditions, and assign reasonable weight coefficients to indicators at all levels. The main steps are as follows:

[0119] S1.1 Collect local data and establish a preliminary evaluation system based on the five dimensions of reliability, greenness, efficiency, intelligence and interaction;

[0120] S1.2 Summarize the local load, power development and distribution network planning through field visits and investigation of the local power grid scale;

[0121] S1.3 is based on a preliminary five-dimensional evaluation system, with each dimension divided into four secondary indicators, to construct a three-dimensional framework consisting of twenty secondary indicators; as shown in the following table:

[0122] Table 1 Index system of modern smart distribution grid

[0123]

[0124]

[0125] S1.4 divides into 9 measurement scales, compares and arranges them to obtain the relative importance of indicators at all levels, and assigns weight values ​​to each indicator according to the relative importance;

[0126] To measure the relative importance of each secondary indicator, there are 9 importance scores: 1, 2, 3, 4, 5, 6, 7, 8, and 9. According to the project requirements and the collected data, the relative importance is considered from three aspects: the necessity of the indicator, the innovation of the indicator, and the relevance of the project. For example, if the necessity of an indicator is 9, the innovation is 6, and the relevance is 4, then its relative importance is 9+6+4=19, and then compared with the secondary indicators of the same primary indicator, the weight value of the indicator is obtained. For example, if the relative importance of other secondary indicators is 21, 20, and 18, then the ranking of this secondary indicator is 3 and the weight is set to 0.2.

[0127] S1.5 Form a complete modern smart distribution grid evaluation system.

[0128] S2: Collect data according to the project and calculate the status data of each indicator;

[0129] The calculation method of the four secondary indicators under the S2.1 reliability dimension is:

[0130] Power supply reliability rate (%) = (1-average power outage time for users / statistical period) × 100%;

[0131] Comprehensive voltage qualification rate (%) = 0.5 × VA + 0.5 × (VB + VC + VD) / 3. Among them, VA, VB, VC, and VD are the qualification rates of class A, B, C, and D voltages respectively;

[0132] Standardization rate of medium voltage distribution network structure (%) = (number of lines adopting standard structure / total number of lines) × 100%;

[0133] 10 kV N-1 pass rate (%) = number of 10 kV lines in the area that passed the N-1 test / total number of 10 kV lines in the area × 100%.

[0134] S2.2 The calculation method of the four secondary indicators under the green dimension is:

[0135] Distributed power grid connection rate (%) = distributed power development capacity / regional distributed power maximum carrying capacity × 100%;

[0136] Comprehensive line loss rate of medium and low voltage distribution network (%) = (total power supply - total power sales) / total power supply × 100%;

[0137] Electric vehicle charging network service radius (km) = the maximum distance that electric vehicle customers in urban areas need to travel to the nearest public charging station;

[0138] Clean energy power generation consumption rate (%) = clean energy power generation consumed by the power grid / theoretical total clean energy power generation × 100%.

[0139] The calculation method of the four secondary indicators under S2.3 high efficiency dimension is:

[0140] Average load factor of 10kV line = total load factor of 10kV lines / total number of lines;

[0141] The 95% maximum load duration can be directly obtained by collecting data;

[0142]

[0143] The proportion of planned balanced load = maximum load involved in planned balance / maximum load of the whole society × 100%.

[0144] The calculation method of the four secondary indicators under S2.4 Wisdom Dimension is as follows:

[0145] Distribution automation practical level (%) = 0.5 × distribution automation effective coverage + 0.5 × FA self-healing success rate;

[0146] Non-stop operation rate (%) = number of inspections and replacements of power lines and equipment without power outages / total number of repairs;

[0147] Distribution network digital mapping level (%) = 0.5 × digital substation coverage rate + 0.5 × active operation and inspection work order ratio;

[0148] Power electronic flexible switch coverage rate (%) = number of power electronic flexible switches / total number of switches.

[0149] The calculation method of the four secondary indicators under S2.5 interaction dimension is:

[0150] Demand-side response resource ratio (%) = (number of reserve loads included in the demand response resource library / maximum direct load ratio of the power grid) × 100%;

[0151] Proportion of flexible adjustment resources (%) = total capacity of minute-level flexible adjustment resources (precise load shedding + conventional load shedding + flexible load adjustment and energy storage) / maximum load of the entire network in the region in the horizontal year × 100%;

[0152] Distributed power generation observable, measurable and controllable rate (%) = number of distributed power generation that can be observed, measured and controlled / total number of distributed power generation × 100%;

[0153] Internet of Vehicles user interaction index (%) = reported capacity of charging facilities that can participate in grid interaction / total reported capacity of charging facilities in the whole society × 100%.

[0154] S2.6 Summarize the data to obtain a summary table of current status indicator data.

[0155] S3: Use the linear difference method, hierarchical interval scoring method, benchmark analysis method and quintile method to score indicators at all levels, and then use the recursive hierarchical evaluation method to obtain the superior evaluation score, conduct a comprehensive analysis, and obtain the comprehensive score of the project. The specific operations are as follows:

[0156] S3.1 uses the linear difference method and benchmark analysis method to score indicators at all levels. The linear difference method is based on the differences between rising indicators and falling indicators. The specific operation method is as follows:

[0157] For rising indicators, the score below the benchmark value is 60 or 80 points, the score above the target value is 100, and the middle part is linearly distributed. With m as the target value of the indicator, j as the benchmark value of the indicator, and x as the current value of the indicator, the score f(x) of the indicator can be calculated by formula 1) and formula 2):

[0158] When the benchmark value corresponds to a score of 60 points,

[0159]

[0160] When the benchmark value corresponds to a score of 80 points,

[0161]

[0162] Taking the score calculation of power supply reliability as an example, it adopts the ascending ladder model evaluation. When the power supply reliability is 100%, 100 points are awarded, and 10 points are deducted for every 0.01% decrease. The base value is 99.96%, and the score when the base value is taken is 60 points. The target value is 100%, so the score is:

[0163]

[0164] Similarly, for the decreasing index, the score above the benchmark value is 60 or 80 points, the score below the target value is 100 points, and the middle part is linearly distributed. With m as the target value, j as the benchmark value of the index, and x as the current value of the index, the score f(x) of the index can be calculated by formula 3) and formula 4):

[0165] When the benchmark value corresponds to a score of 60 points,

[0166]

[0167] When the benchmark value corresponds to a score of 80 points,

[0168]

[0169] Taking the score calculation of the planned balanced load ratio as an example, it adopts the descending linear model evaluation, the calculation base value j is selected as 100%, and the target value m is selected as 90%. When the base value is taken, 80 points are obtained, and 2 points are obtained for each 1% decrease in the index value. The score is:

[0170]

[0171] S3.2 uses the hierarchical analysis method to calculate the comprehensive score of the project based on the scores of the secondary indicators.

[0172] The recursive hierarchical analysis method is to establish a hierarchical model and construct a judgment standard, and calculate the upper-level score according to the weight of the lower-level indicator score. In this article, the weight of each first-level indicator is 0.2, and the weights of the second-level indicators under each first-level indicator are 0.4, 0.3, 0.2, and 0.1 according to the relative importance. If there are two items with the same relative importance, such as the first and second most important items, the weight values ​​of the two are (0.4+0.3) / 2=0.35, and so on. After obtaining the second-level indicator score through the linear difference method, multiply the score of each second-level indicator by its respective weight and add them up to obtain the first-level indicator score. Finally, the scores of each first-level indicator are added and multiplied by 0.2 to obtain the comprehensive score of the project.

[0173] S4: Considering the five aspects of reliability, greenness, efficiency, intelligence and interaction, the advantages and disadvantages of the project are discussed respectively, and the effectiveness of the construction of modern smart distribution network is analyzed. The main steps are as follows:

[0174] S4.1 Analyze the reliability assessment results of the project with reference to power supply reliability rate, comprehensive voltage qualification rate, medium voltage distribution network grid structure standardization rate, 10 kV N-1 passing rate, etc. According to the project scores, optimize the indicators with lower scores by disconnecting redundant connections, reconstructing the grid with new substation lines, etc.;

[0175] S4.2 Analyze the green assessment results of the project with reference to the distributed power grid connection rate, the comprehensive line loss rate of medium and low voltage distribution networks, the service radius of the electric vehicle charging network, and the clean energy power generation and consumption rate, and reduce the line loss of the power grid and optimize the low-scoring indicators by increasing the proportion of clean energy.

[0176] S4.3 uses the average load rate of 10kV lines, 95% maximum load duration, average peak-to-valley difference of load, planned balanced load ratio, etc. as references to analyze the project efficiency assessment results, optimize the load characteristic curve and improve the high efficiency of the power grid through grid optimization, reasonable load distribution, increasing line load rate, improving line light load conditions, etc.;

[0177] S4.4 Analyze the project intelligence assessment results with reference to the practical level of distribution automation, the rate of uninterrupted operation, the level of distribution network digital mapping, and the coverage rate of power electronic flexible switches. Strengthen the transparent and intelligent features of the power grid and enhance the interconnection and mutual assistance capabilities of the power grid through the construction of digital substations and the construction of new medium-voltage line flexible switches.

[0178] S4.5 Analyze the project interaction evaluation results with reference to the proportion of demand-side response resources, the proportion of flexible adjustment resources, the observable, measurable and controllable rate of distributed power sources, and the vehicle networking user interaction index, improve the load-side demand response library, promote the observable, measurable and controllable distributed power sources on the source side, and solve technical shortcomings in combination with project indicator scoring;

[0179] S5: Summarize and analyze the above results, comprehensively, systematically and scientifically analyze the construction results of the modern smart distribution network, intuitively reflect the weak points of the grid and the improvement effects, put forward specific improvement measures and suggestions, give priority to improving the technical indicators of the weak links, ensure the improvement of construction results, and finally build an efficient and stable modern smart distribution network.

[0180] A five-dimensional modern intelligent distribution grid evaluation system, including:

[0181] The acquisition module is used to comprehensively collect project information data, determine the evaluation indicators at all levels in combination with local planning conditions, and form a complete active distribution grid evaluation system based on the five dimensions of reliability, green, efficiency, intelligence, and interaction. It fully considers relevant documents and project conditions and assigns reasonable weight coefficients to indicators at all levels. The calculation module is used to collect information according to the project and calculate the status data of each indicator.

[0182] The analysis module is used to determine the baseline value and target value of each indicator, and use the linear difference method and benchmark analysis method to score the indicators at all levels, and then use the recursive hierarchical evaluation method to obtain the superior evaluation score, and comprehensively analyze to obtain the comprehensive score of the project; the linear difference method and benchmark analysis method are used to score the indicators at all levels. The linear difference method is different according to the difference between rising indicators and falling indicators. The specific operation method is as follows: for rising indicators, the score below the benchmark value is 60 or 80 points, and the score above the target value is 100. The middle part is linearly distributed. m is the target value of the indicator, j is the benchmark value of the indicator, and x is the current value of the indicator. The score f(x) of the indicator can be calculated by formula 1) and formula 2):

[0183] When the benchmark value corresponds to a score of 60 points,

[0184]

[0185] When the benchmark value corresponds to a score of 80 points,

[0186]

[0187] Similarly, for the decreasing index, the score above the benchmark value is 60 or 80 points, and the score below the target value is 100 points. The middle part is linearly distributed. With m as the target value, j as the index benchmark value, and x as the current value of the index, the score f(x) of the index can be calculated by formula 3) and formula 4):

[0188] When the benchmark value corresponds to a score of 60 points,

[0189]

[0190] When the benchmark value corresponds to a score of 80 points,

[0191]

[0192] The comprehensive score of the project is calculated based on the scores of the secondary indicators using the hierarchical analysis method.

[0193] The evaluation module is used to evaluate the project from five dimensions: reliability, green, efficient, intelligent, and interactive. It also compares the completion status of similar domestic projects, conducts comprehensive investment evaluation and analysis, identifies project shortcomings, and provides construction strategies.

[0194] The comprehensive assessment module is used to comprehensively evaluate the process and results, point out the strengths and weaknesses, put forward suggestions for improvement, draw evaluation conclusions, and write evaluation reports.

[0195] To sum up, with the help of the above-mentioned technical scheme of the present invention, the comprehensiveness, scientificity and adaptability of the analysis on the power supply side, the grid side and the load side are guaranteed through the multi-dimensional hierarchical analysis method and the linear difference method, and the accuracy of investment is emphasized. It helps the grid to handle the relationship between input and output of the modern smart distribution network, and provides scientific support for the goal of completing scientific investment, precise investment, making choices, maintaining and pressuring, and making full use of the benefits of limited funds. It also provides theoretical support for the realization of a modern smart distribution network with clean and diversified energy supply, diverse and interactive electricity loads, and active and flexible network operation.

[0196] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A five-dimensional modern intelligent distribution grid evaluation method, characterized in that: The steps include: S1: Comprehensively collect project information data, combine local planning conditions, determine evaluation indicators at all levels, form a complete active distribution grid evaluation system with five dimensions: reliable, green, efficient, intelligent, and interactive, fully consider relevant documents and project conditions, and assign reasonable weight coefficients to indicators at all levels; S2: Collect data according to the project and calculate the status data of each indicator; S3: Determine the baseline value and target value of each indicator, use the linear difference method and benchmark analysis method to score the indicators at all levels, then use the recursive hierarchical evaluation method to obtain the superior evaluation score, and conduct a comprehensive analysis to obtain the comprehensive score of the project; The specific steps of step S3 are as follows: S301 uses the linear difference method and benchmark analysis method to score indicators at all levels. The linear difference method is based on the differences between rising indicators and falling indicators. The specific operation method is as follows: For rising indicators, the score below the benchmark value is 60 or 80 points, and the score above the target value is 100. The middle part is linearly distributed. m is the target value of the indicator, j is the benchmark value of the indicator, and x is the current value of the indicator. The score f(x) of the indicator can be calculated by formula 1) and formula 2): When the benchmark value corresponds to a score of 60 points, When the benchmark value corresponds to a score of 80 points, Similarly, for the decreasing index, the score above the benchmark value is 60 or 80 points, and the score below the target value is 100 points. The middle part is linearly distributed. With m as the target value, j as the index benchmark value, and x as the current value of the index, the score f(x) of the index can be calculated by formula 3) and formula 4): When the benchmark value corresponds to a score of 60 points, When the benchmark value corresponds to a score of 80 points, S302 uses the hierarchical analysis method to calculate the comprehensive score of the project based on the scores of the secondary indicators; S4: Evaluate the project from five dimensions: reliability, green, efficiency, intelligence, and interaction, and compare the completion status of similar domestic projects to conduct comprehensive investment evaluation and analysis, identify project shortcomings, and provide construction strategies; S5: Comprehensively evaluate the process and results, point out the strengths and weaknesses, put forward suggestions for improvement, draw evaluation conclusions, and write an evaluation report.

2. The five-dimensional modern intelligent distribution grid evaluation method according to claim 1 is characterized in that: The specific steps of step S1 are as follows: S101 collects local data and establishes a preliminary evaluation system based on five dimensions: reliability, greenness, efficiency, intelligence, and interaction; S102 conducted field visits and investigated the scale of the local power grid to summarize the local load, power development and distribution network planning; S103 is based on a preliminary five-dimensional evaluation system, with each dimension divided into four secondary indicators, to construct a three-dimensional framework consisting of twenty secondary indicators; S104 is divided into 9 measurement scales, and the relative importance of indicators at all levels is obtained by comparison and arrangement, and weight values ​​are assigned to each indicator according to the relative importance; S105 forms a complete active distribution grid evaluation system.

3. The five-dimensional modern intelligent distribution grid evaluation method according to claim 1 is characterized in that: The secondary indicators of the reliability dimension include power supply reliability rate, comprehensive voltage qualification rate, medium voltage distribution network grid structure standardization rate and 10 kV line N-1 pass rate; the secondary indicators of the green dimension include distributed power grid connection rate, medium and low voltage distribution network comprehensive line loss rate, electric vehicle charging network service radius and clean energy power generation consumption rate; the secondary indicators of the high efficiency dimension include 10 kV line average load rate, 95% maximum load duration (h), average load peak-to-valley difference rate and planned balanced load proportion; the secondary indicators of the smart dimension include distribution automation practical level, uninterrupted operation rate, distribution network digital mapping level and power flexible switch coverage rate; the secondary indicators of the interactive dimension include demand-side response resource proportion, flexible adjustment resource proportion, distributed power observable, measurable and controllable access rate and Internet of Vehicles user interaction index.

4. The five-dimensional modern intelligent distribution grid evaluation method according to claim 1 is characterized in that: The specific steps of step S2 are as follows: The calculation method of the four secondary indicators under the S201 reliability dimension is: Power supply reliability rate (%) = (1-average power outage time for users / statistical period) × 100%; Comprehensive voltage qualification rate (%) = 0.5 × VA + 0.5 × (VB + VC + VD) / 3, where VA, VB, VC, and VD are the qualification rates of class A, B, C, and D voltages respectively; Standardization rate of medium voltage distribution network structure (%) = (number of lines adopting standard structure / total number of lines) × 100%; 10kV N-1 pass rate (%) = number of 10kV lines in the region that passed N-1 verification / total number of 10kV lines in the region × 100%; The calculation method of the four secondary indicators under the S202 green dimension is: Distributed power grid connection rate (%) = distributed power development capacity / regional distributed power maximum carrying capacity × 100%; Comprehensive line loss rate of medium and low voltage distribution network (%) = (total power supply - total power sales) / total power supply × 100%; Electric vehicle charging network service radius (km) = the maximum distance that electric vehicle customers in urban areas need to travel to the nearest public charging station; Clean energy power generation consumption rate (%) = clean energy power generation consumed by the power grid / theoretical total clean energy power generation × 100%; The calculation method of the four secondary indicators under the S203 high efficiency dimension is: Average load factor of 10kV line = total load factor of 10kV lines / total number of lines; The 95% maximum load duration can be directly obtained by collecting data; Planned balance load ratio = maximum load involved in the planned balance / maximum load of the whole society × 100%; The calculation method of the four secondary indicators under the S204 wisdom dimension is: Distribution automation practical level (%) = 0.5 × distribution automation effective coverage + 0.5 × FA self-healing success rate; Non-stop operation rate (%) = number of inspections and replacements of power lines and equipment without power outages / total number of repairs; Distribution network digital mapping level (%) = 0.5 × digital substation coverage rate + 0.5 × active operation and inspection work order ratio; Power electronic flexible switch coverage rate (%) = number of power electronic flexible switches / total number of switches; The calculation method of the four secondary indicators under the S205 interaction dimension is: Demand-side response resource ratio (%) = (number of reserve loads included in the demand response resource library / maximum direct load ratio of the power grid) × 100%; Proportion of flexible adjustment resources (%) = total capacity of minute-level flexible adjustment resources (precise load shedding + conventional load shedding + flexible load adjustment and energy storage) / maximum load of the entire network in the region in the horizontal year × 100%; Distributed power generation observable, measurable and controllable rate (%) = number of distributed power generation that can be observed, measured and controlled / total number of distributed power generation × 100%; Internet of Vehicles user interaction index (%) = the reported capacity of charging facilities that can participate in grid interaction / the total reported capacity of charging facilities in the whole society × 100%; S206 summarizes the data to obtain a status indicator data summary table.

5. The five-dimensional modern intelligent distribution grid evaluation method according to claim 1 is characterized in that: The specific steps of step S4 are as follows: S401 uses the power supply reliability rate, comprehensive voltage qualification rate, medium-voltage distribution network grid structure standardization rate, and 10 kV N-1 passing rate as references to analyze the project reliability assessment results. According to the project scores, the indicators with lower scores are optimized by disconnecting redundant connections and reconstructing the grid with new outgoing lines from substations; S402 uses the distributed power grid connection rate, the comprehensive line loss rate of medium and low voltage distribution networks, the service radius of electric vehicle charging networks, and the clean energy power generation and consumption rate as references to analyze the green assessment results of the project, reduce the grid line loss by increasing the proportion of clean energy, and optimize the low-scoring indicators; S403 uses the average load rate of 10kV lines, 95% maximum load duration, average peak-to-valley difference of load, and planned balanced load ratio as references to analyze the project efficiency assessment results. By optimizing the grid, distributing loads reasonably, increasing the line load rate, and improving the light-load condition of lines, it optimizes the load characteristic curve and improves the high-efficiency capacity of the power grid. S404 uses the practical level of distribution automation, the rate of uninterrupted operation, the level of distribution network digital mapping, and the coverage rate of power electronic flexible switches as references to analyze the results of the project's smart assessment. Through the construction of digital substations and the method of building flexible switches for new medium-voltage lines, it strengthens the transparent and smart features of the power grid and enhances the interconnection and mutual assistance capabilities of the power grid. S405 uses the proportion of demand-side response resources, the proportion of flexible adjustment resources, the observable, measurable and controllable rate of distributed power sources, and the Internet of Vehicles user interaction index as references to analyze the project interaction evaluation results, improve the load-side demand response library, promote the observable, measurable and controllable distributed power sources on the source side, and combine project indicator scoring to solve technical shortcomings.

6. A five-dimensional modern intelligent distribution grid evaluation system, characterized in that: include: The acquisition module is used to comprehensively collect project information data, determine the evaluation indicators at all levels in combination with local planning conditions, and form a complete active distribution grid evaluation system based on the five dimensions of reliability, greenness, efficiency, intelligence, and interaction. It fully considers relevant documents and project conditions and assigns reasonable weight coefficients to indicators at all levels; The calculation module is used to collect data according to the project and calculate the status data of each indicator; The analysis module is used to determine the benchmark and target values ​​of each indicator, use the linear difference method and benchmark analysis method to score the indicators at all levels, and then use the recursive hierarchical evaluation method to obtain the superior evaluation score, and conduct a comprehensive analysis to obtain the comprehensive score of the project; The linear difference method and benchmark analysis method are used to score indicators at all levels. The linear difference method is different according to the difference between rising indicators and falling indicators. The specific operation method is as follows: for rising indicators, the score below the benchmark value is 60 or 80 points, and the score above the target value is 100. The middle part is linearly distributed. m is the target value of the indicator, j is the benchmark value of the indicator, and x is the current value of the indicator. The score f(x) of the indicator can be calculated by formula 1) and formula 2): When the benchmark value corresponds to a score of 60 points, When the benchmark value corresponds to a score of 80 points, Similarly, for the decreasing index, the score above the benchmark value is 60 or 80 points, and the score below the target value is 100 points. The middle part is linearly distributed. With m as the target value, j as the index benchmark value, and x as the current value of the index, the score f(x) of the index can be calculated by formula 3) and formula 4): When the benchmark value corresponds to a score of 60 points, When the benchmark value corresponds to a score of 80 points, The comprehensive score of the project is calculated based on the scores of the secondary indicators using the hierarchical analysis method. The evaluation module is used to evaluate the project from five dimensions: reliability, green, efficient, intelligent, and interactive. It also compares the completion status of similar domestic projects, conducts comprehensive investment evaluation and analysis, identifies project shortcomings, and provides construction strategies. The comprehensive assessment module is used to comprehensively evaluate the process and results, point out the strengths and weaknesses, put forward suggestions for improvement, draw evaluation conclusions, and write evaluation reports.

7. The five-dimensional modern intelligent distribution grid evaluation method according to claim 6 is characterized in that: The secondary indicators of the reliability dimension include power supply reliability rate, comprehensive voltage qualification rate, medium voltage distribution network grid structure standardization rate and 10 kV line N-1 pass rate; the secondary indicators of the green dimension include distributed power grid connection rate, medium and low voltage distribution network comprehensive line loss rate, electric vehicle charging network service radius and clean energy power generation consumption rate; the secondary indicators of the high efficiency dimension include 10 kV line average load rate, 95% maximum load duration (h), average load peak-to-valley difference rate and planned balanced load proportion; the secondary indicators of the smart dimension include distribution automation practical level, uninterrupted operation rate, distribution network digital mapping level and power flexible switch coverage rate; the secondary indicators of the interactive dimension include demand-side response resource proportion, flexible adjustment resource proportion, distributed power observable, measurable and controllable access rate and Internet of Vehicles user interaction index.

8. The five-dimensional modern intelligent distribution grid evaluation method according to claim 6 is characterized in that: (1) The calculation method of the four secondary indicators under the reliability dimension is: Power supply reliability rate (%) = (1-average power outage time for users / statistical period) × 100%; Comprehensive voltage qualification rate (%) = 0.5 × VA + 0.5 × (VB + VC + VD) / 3, where VA, VB, VC, and VD are the qualification rates of class A, B, C, and D voltages respectively; Standardization rate of medium voltage distribution network structure (%) = (number of lines adopting standard structure / total number of lines) × 100%; 10kV N-1 pass rate (%) = number of 10kV lines in the region that pass N-1 verification / total number of 10kV lines in the region × 100%; (2) The calculation method of the four secondary indicators under the green dimension is: Distributed power grid connection rate (%) = distributed power development capacity / regional distributed power maximum carrying capacity × 100%; Comprehensive line loss rate of medium and low voltage distribution network (%) = (total power supply - total power sales) / total power supply × 100%; Electric vehicle charging network service radius (km) = the maximum distance that electric vehicle customers in urban areas need to travel to the nearest public charging station; Clean energy power generation consumption rate (%) = clean energy power generation consumed by the power grid / theoretical total clean energy power generation × 100%; (3) The calculation method of the four secondary indicators under the high efficiency dimension is: Average load factor of 10kV line = total load factor of 10kV lines / total number of lines; The 95% maximum load duration can be directly obtained by collecting data; Planned balance load ratio = maximum load involved in the planned balance / maximum load of the whole society × 100%; (4) The calculation method of the four secondary indicators under the wisdom dimension is: Distribution automation practical level (%) = 0.5 × distribution automation effective coverage + 0.5 × FA self-healing success rate; Non-stop operation rate (%) = number of inspections and replacements of power lines and equipment without power outages / total number of repairs; Distribution network digital mapping level (%) = 0.5 × digital substation coverage rate + 0.5 × active operation and inspection work order ratio; Power electronic flexible switch coverage rate (%) = number of power electronic flexible switches / total number of switches; (5) The calculation method of the four secondary indicators under the interaction dimension is: Demand-side response resource ratio (%) = (number of reserve loads included in the demand response resource library / maximum direct load ratio of the power grid) × 100%; Proportion of flexible adjustment resources (%) = total capacity of minute-level flexible adjustment resources (precise load shedding + conventional load shedding + flexible load adjustment and energy storage) / maximum load of the entire network in the region in the horizontal year × 100%; Distributed power generation observable, measurable and controllable rate (%) = number of distributed power generation that can be observed, measured and controlled / total number of distributed power generation × 100%; Internet of Vehicles user interaction index (%) = reported capacity of charging facilities that can participate in grid interaction / total reported capacity of charging facilities in the whole society × 100%.

9. The five-dimensional modern intelligent distribution grid evaluation method according to claim 6 is characterized in that: The specific process of the evaluation module is as follows: The reliability assessment results of the projects were analyzed with reference to the power supply reliability rate, comprehensive voltage qualification rate, medium-voltage distribution network grid structure standardization rate, and 10 kV N-1 passing rate. According to the project scores, the indicators with lower scores were optimized by disconnecting redundant connections and reconstructing the grid with new outgoing lines from substations. With reference to the distributed power grid connection rate, the comprehensive line loss rate of medium and low voltage distribution networks, the service radius of electric vehicle charging network, and the clean energy power generation and consumption rate, the green assessment results of the project are analyzed, and the line loss of the power grid is reduced by increasing the proportion of clean energy, thereby optimizing the low-scoring indicators; With reference to the average load rate of 10kV lines, 95% maximum load duration, average peak-to-valley difference of load, and planned balanced load ratio, the project efficiency assessment results are analyzed. Through grid optimization, reasonable load distribution, increasing line load rate, and improving line light load conditions, the load characteristic curve is optimized and the high efficiency of the power grid is improved. With reference to the practical level of distribution automation, the rate of uninterrupted operation, the level of distribution network digital mapping, and the coverage rate of power electronic flexible switches, the project intelligence assessment results are analyzed. Through the construction of digital substations and the method of newly building flexible switches for medium-voltage lines, the transparent and intelligent features of the power grid are strengthened, and the interconnection and mutual assistance capabilities of the power grid are enhanced; With reference to the proportion of demand-side response resources, the proportion of flexible adjustment resources, the observable, measurable and controllable rate of distributed power sources, and the Internet of Vehicles user interaction index, the project interaction evaluation results are analyzed, the load-side demand response library is improved, the source-side distributed power sources are promoted to be observable, measurable and controllable, and the technical shortcomings are solved in combination with the project indicator scoring.

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