Method for constructing distribution network elasticity index evaluation system for large-scale new energy access

Abstract

The application discloses a distribution network elasticity index evaluation system construction method for large-scale new energy access, comprising the following steps: S1, obtaining elasticity indexes of distribution network elasticity capability influencing large-scale new energy access; S2, obtaining elasticity factors influencing each elasticity index, and calculating the elasticity indexes according to proportions of the elasticity factors; S3, constructing a distribution network elasticity index evaluation system according to elasticity weights of each elasticity index; the elasticity indexes include bearing indexes f a , self-healing indexes f b , efficiency indexes f c and interaction indexes f d . The method sets elasticity index calculation formulas of bearing capacity, self-healing capacity, efficiency level and interaction capacity, and gives a distribution network elasticity evaluation system calculation formula for large-scale new energy access, so that the evaluation system can comprehensively evaluate the distribution network under a new power system, thereby guiding large-scale regional new energy access.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and more specifically, to a method for constructing a distribution network resilience index evaluation system for large-scale integration of new energy sources. Background Technology

[0002] Building a new power system with renewable energy as the mainstay is imperative, and the distribution network will face the challenge of large-scale renewable energy integration. After large-scale renewable energy integration, the power grid will encounter problems such as "lack of interaction between power sources and loads, reliance on redundancy for security, reduced balancing capacity, and a lack of efficiency improvement methods." Traditional distribution network evaluation index systems are insufficient to address these issues. Therefore, it is necessary to establish a distribution network resilience evaluation system oriented towards large-scale renewable energy integration. This system should evaluate the distribution network, identify its weaknesses, and guide its development direction and investment strategy, providing crucial support for the large-scale integration of renewable energy.

[0003] The existing distribution network evaluation system is still in the exploratory and practical stage, with the more advanced system being the "three efficiencies, two rates, and one degree" evaluation of the distribution network. The specific operational methods are as follows: First, a "three-efficiency" evaluation system is constructed from the dimensions of "network structure efficiency," "load supply efficiency," and "equipment technology efficiency" to evaluate the weak links of the distribution network and clarify the needs of distribution network projects. Second, the current power supply capacity level of the distribution network and future load development needs are fully considered, and the "power supply capacity achievement rate" and "load level achievement rate" are used for joint analysis to determine the timing of distribution network investment. Finally, the urgency of power grid investment is checked through "investment saturation" to generate an investment saturation chart based on the functional domain of the distribution network.

[0004] The disadvantages of existing technologies are as follows: 1. The existing power distribution network evaluation system only evaluates the traditional aspects of the power grid (power supply capacity, power supply reliability, and grid level), and has not formed a comprehensive and complete evaluation system; 2. The existing power distribution network evaluation system only considers the grid side and fails to consider the power source side and energy storage side. The evaluation elements are not diversified enough and cannot adapt to the large-scale access of new energy sources under the new power system. Summary of the Invention

[0005] The purpose of this invention is to propose a method for constructing a distribution network resilience index evaluation system for large-scale access to new energy sources. By setting calculation formulas for the resilience index in four aspects—distribution network carrying capacity, self-healing capacity, efficiency level, and interaction capacity—a distribution network resilience evaluation system for large-scale access to new energy sources is proposed. This evaluation system can provide a multi-dimensional panoramic evaluation of the distribution network, guide the transition of traditional distribution networks to new power systems, and meet the requirements of stable large-scale absorption of new energy and safe and efficient operation of the distribution network.

[0006] To achieve the above technical objectives, the present invention provides a technical solution: a method for constructing a distribution network resilience index evaluation system for large-scale access of new energy sources, comprising the following steps: S1. Obtain the elasticity index of the distribution network's resilience, which affects the large-scale access of new energy sources. S2. Obtain the elasticity factors that affect each elasticity index, and calculate the elasticity index based on the proportion of each elasticity factor. S3. Construct a distribution network resilience index evaluation system based on the resilience weights of each resilience index.

[0007] Preferably, the elasticity index includes a load-bearing index f. a Self-healing index f b Performance index f c and the interaction index f d .

[0008] As a preferred option, the load-bearing index f is affected. a The flexibility factors include: standard wiring rate f a1 Line load rate f a2 Distribution transformer overload rate f a3 Overall voltage qualification rate f a4 and the proportion of small cross-sections of the main trunk line f a5 ; Carrying capacity index f a The calculation formula is as follows: f a =0.168f a1 +0.248(f a2 +f a3 +f a4 )+0.088f a5 ; in: Standard wiring rate f a1 The calculation method is: number of public lines using standard wiring in the area / total number of public lines; Line overload rate f a2 The calculation method is: number of heavy-load public lines in the area / total number of public lines; Distribution transformer overload rate f a3 The calculation method is: number of heavily loaded transformers in the area / total number of transformers; Overall voltage qualification rate f a4 The calculation method is: the percentage of the cumulative operating time when the user's actual operating voltage deviation is within the limit range to the corresponding total operating statistical time; Main trunk line small cross-section ratio f a5 The calculation method is: the proportion of the number of lines with small cross-section trunk lines to the total number of lines in the region.

[0009] As a preferred option, the self-healing index f is influenced by... b The resilience factors include: power supply reliability f b1 Line N-1 throughput f b2 Reasonableness rate of line segmentation f b3 Smart switch standard coverage f b4 and the self-healing rate f of power distribution automation b5 ; Self-healing index f b The calculation formula is as follows: f b =0.256(f b1 +f b2 +f b5 )+0.172f b3 +0.06f b4 ; in: Power supply reliability f b1 The calculation method is: the percentage of the statistical period time minus the average power outage time per household to the statistical period time; Line N-1 throughput f b2 The calculation method is: the percentage of the number of 10kV lines that meet the N-1 condition to the total number of 10kV public lines; Line segmentation rationality rate f b3 The calculation method is: the percentage of the ratio of the number of lines with reasonable segmentation requirements to the total number of 10kV public lines; Smart switch standard coverage f b4 The calculation method is: number of intelligent switching devices used / number of intelligent switching devices that should be configured; Self-healing rate f of power distribution automation b5 The calculation method is: number of public lines with self-healing function / total number of public lines.

[0010] As a preferred option, the performance index f c The elasticity factors include: line utilization rate f c1 Distribution transformer utilization rate f c2 Average load factor f c3 Overall line loss rate f c4 and the increase in electricity sales per unit of investment f c5 ; Impact on efficiency index f c The calculation formula is as follows: f c =0.168(f c1 +f c2 +f c3 )+0.248(f c4 +f c5 ); in: Line utilization rate f c1 The calculation method is: annual power supply of public lines / (maximum transmission capacity of public lines × number of hours per year); transformer utilization rate f c2 The calculation method is: annual power supply of distribution transformer / (rated capacity of distribution transformer × number of hours per year × cosφ), where φ is the power factor angle; Interval average load factor f c3 The calculation method is as follows: the average value of the maximum load rate of the 10kV bays with outgoing lines in a typical daily substation; the comprehensive line loss rate f c4 The calculation method is: the percentage of the difference between the power supply and the sales volume of the 10kV and below distribution network to the power supply of the 10kV and below distribution network; Increase in electricity sales per unit of investment f c5 The calculation method is: the ratio of the difference between the electricity sales at the end of the period and the electricity sales at the beginning of the period to the power grid investment during the statistical period.

[0011] As a preferred option, the interaction index f d The resilience factor includes the distributed energy penetration rate f. d1 Charging pile penetration rate f d2 Energy storage penetration rate f d3 Load peak-valley difference rate f d4 and the coverage rate of smart terminals in distribution transformers f d5 ; Influence on the interaction index f d The calculation formula is as follows: f d =0.124(f d1 +f d2 +f d3 )+0.376f d4 +0.252f d5 ; in: Distributed energy penetration rate f d1 The calculation method is as follows: the new energy penetration rate is the percentage of the ratio of new energy installed capacity to the region's annual maximum load; Charging pile penetration rate f d2 The calculation method is: the percentage of the sum of the charging pile power in the area to the area's annual maximum load ratio; Energy storage penetration rate f d3 The calculation method is: regional energy storage configuration capacity / (typical daily regional maximum load peak-valley difference / 2); Load peak-valley difference rate f d4 The calculation method is: (Typical day regional peak load - Typical day regional off-peak load) / Typical day regional peak load; Distribution transformer smart terminal coverage f d5The calculation method is: the number of public transformer substations with installed smart terminals / the total size of the public transformer substations.

[0012] As a preferred option, the calculation formula for the distribution network resilience index evaluation system F is as follows: F = λ a f a +λ b f b +λ c f c +λ d f d ; λ a +λ b +λ c +λ d =1; Where, λ a For the carrying capacity index f a The corresponding elastic weight, λ b The self-healing index f b The corresponding elastic weight, λ c For the efficiency index f c The corresponding elastic weight, λ d Interaction Index f d The corresponding elastic weight.

[0013] The beneficial effects of this invention are as follows: The proposed method for constructing a distribution network resilience index evaluation system for large-scale new energy access fills the gap in effective evaluation of distribution networks for large-scale new energy access, providing power supply companies with a quantifiable and multi-dimensional distribution network resilience evaluation system. Specifically: a) Through the construction of the distribution network resilience evaluation system, distribution network projects can effectively assess the resilience level of the distribution network or individual projects in their respective regions. Upgrades and renovations can be carried out on weak links, improving the safety, reliability, and equipment efficiency of the distribution network. Simultaneously, it reduces redundancy in distribution network construction, improves equipment utilization, and avoids unnecessary grid investment. The distribution network resilience evaluation system assesses the resilience index of the current distribution network status, reveals weak links, and identifies lagging indicators, providing a basis for planning work; b) By guiding the direction of distribution network construction through evaluation conclusions, it can reduce grid investment, improve the accuracy of grid investment, reduce losses, and enhance the company's management level and economic benefits. Attached Figure Description

[0014] Figure 1 This is a flowchart of the method for constructing the distribution network resilience index evaluation system of the present invention.

[0015] Figure 2 This is a framework diagram of the distribution network resilience index evaluation system of the present invention. Detailed Implementation

[0016] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only one preferred embodiment of this invention and are only used to explain this invention. They do not limit the scope of protection of this invention. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0017] Example: Figure 1 The flowchart shown is a method for constructing a distribution network resilience index evaluation system for large-scale access of new energy sources, including the following steps: S1. Obtain the elasticity index of the distribution network's resilience, which affects the large-scale access of new energy sources. S2. Obtain the elasticity factors that affect each elasticity index, and calculate the elasticity index based on the proportion of each elasticity factor. S3. Construct a distribution network resilience index evaluation system based on the resilience weights of each resilience index.

[0018] like Figure 2 As shown, the distribution network resilience index evaluation system is guided by "bearing capacity indicators, self-healing indicators, efficiency indicators, and interaction indicators". It constructs a resilience factor consisting of 20 indicators in four dimensions: bearing capacity, self-healing, efficiency, and interaction, to objectively evaluate the development of the distribution network.

[0019] Load capacity index: Enhances the grid's load capacity, supports the optimized access and consumption of clean energy, supports the access of large-scale external power, and supports the wide-area allocation of energy, thereby meeting the ever-increasing load demand.

[0020] Self-healing index: Scientific and reasonable planning, sensitive and timely early warning, precise and efficient defense, and rapid and intelligent recovery, comprehensively enhancing the power grid's ability to resist disasters and recover after disasters.

[0021] Efficiency Index: To build an energy system centered on electricity, promote the substitution of electricity and clean energy in the energy sector, advance the establishment of a clean, low-carbon, safe and efficient energy consumption system, and achieve energy efficiency improvement for the whole society.

[0022] Interaction Index: Construct a multi-energy coupled energy ecosystem, awaken massive dormant resources, and achieve multi-dimensional interaction between energy sources, grids, loads, and storage; flexible mechanisms support interaction; and efficient energy interconnection.

[0023] 1. Carrying capacity index (f) a The calculation formula for ) is as follows: f a =0.168f a1 +0.248(f a2 +f a3 +f a4 )+0.088fa5 .

[0024] Standard wiring ratio (f) a1 ) Unit of measurement: %; Indicator Explanation: Medium-voltage line wiring modes that meet the requirements of the guidelines include single-ring and double-ring cable networks, and overhead multi-segment single-connection and multi-segment moderate-connection cables. Calculation method: Standard wiring rate (%) is the number of public lines using standard wiring in the area (lines) / total number of public lines (lines).

[0025] Line overload rate (f) a2 ) Unit of measurement: %; Indicator Explanation: Line overload refers to a line's maximum load rate exceeding 80% for a duration of more than 1 hour; Calculation method: The line overload rate (%) is the number of overloaded public lines in the area (lines) / the total number of public lines (lines).

[0026] Distribution transformer overload rate (f) a3 ) Unit of measurement: %; Indicator Explanation: Distribution transformer overload refers to the distribution transformer's maximum load rate exceeding 80% for 2 consecutive hours; Calculation method: The overload rate (%) of distribution transformers is the number of overloaded public transformers in the area (units) / the total number of public transformers (units).

[0027] Overall voltage qualification rate (f a4 ) Unit of measurement: %; Indicator Explanation: The percentage of the cumulative operating time during which the user's actual operating voltage deviation is within the limit range to the corresponding total operating statistical time.

[0028] The formula for calculating the overall voltage qualification rate (%) is as follows: V = 0.5 × V A +0.5×(V B +V C +V D ) / 3 The formula for calculating the voltage qualification rate at monitoring points is as follows: V i =(1-(t) up -t low ) / t)×100% V—Overall voltage pass rate; V A —Pass rate of Class A monitoring points; V B —Pass rate of Class B monitoring points; V C —Pass rate of Class C monitoring points; V D—Pass rate of Class D monitoring points; V i —Voltage pass rate at monitoring points; t up —Voltage exceeding upper limit time; t low —Voltage below lower limit time; t—Total running statistics time.

[0029] Main trunk line small cross-section ratio (f) a5 ) Unit of measurement: None; Unit of measurement: %; Indicator Explanation: When there are small-section conductors in the main line, it often causes a "bottleneck" in power supply, affecting the line's carrying capacity. Calculation method: The proportion of lines with small cross-section trunk lines to the total number of lines in the region.

[0030] Self-healing index (f) b The calculation formula is as follows: f b =0.256(f b1 +f b2 +f b5 )+0.172f b3 +0.06f b4 .

[0031] Power supply reliability (f b1 ) Unit of measurement: %; Indicator definition: The ratio of the total number of hours of effective power supply to users to the total number of hours in the statistical period, denoted as RS-1; Calculation method: Power supply reliability (%) is the percentage of the statistical period time (h) minus the average power outage time per household (h) to the statistical period time (h).

[0032] Line N-1 throughput (f) b2 ) Unit of measurement: %; Indicator Explanation: The proportion of 10kV lines that meet the N-1 standard to the total number of 10kV public lines; Calculation method: The N-1 pass rate (%) of 10kV lines is the percentage of the number of 10kV lines that meet the N-1 requirement to the total number of 10kV public lines.

[0033] Line segmentation rationality rate (f) b3 ) Unit of measurement: %; Indicator Explanation: The proportion of lines that meet the reasonable segmentation requirements stipulated in the guidelines to the total number of 10kV public lines; Calculation method: The line segmentation rationality rate (%) is the percentage of the number of lines (segments) that meet the rational segmentation requirements to the total number of 10kV public lines (segments).

[0034] Smart switch standard coverage (f b4 ) Unit of measurement: %.

[0035] Indicator Explanation: The proportion of the total number of devices using intelligent switching equipment; Calculation method: The standard coverage rate of intelligent switches (%) is the number of intelligent switching devices (switches, ring network rooms, etc.) / the number of intelligent switching devices that should be configured.

[0036] Self-healing rate of power distribution automation (f) b5 ) Unit of measurement: %; Indicator Explanation: It conforms to the typical configuration of distribution automation, is connected to the distribution automation system as required, and can realize fault location, isolation, and power restoration to non-faulty sections; Calculation method: The self-healing rate (%) of power distribution automation is the number of public lines with self-healing function (lines) / the total number of public lines (lines).

[0037] Performance index (f) c The calculation formula is as follows: f c =0.168(f c1 +f c2 +f c3 )+0.248(f c4 +f c5 ).

[0038] Line utilization rate (f c1 ) Unit of measurement: %; Indicator Explanation: Overall utilization efficiency of medium-voltage public lines over a year; Calculation method: The line utilization rate (%) is the annual power supply of the public line (kWh) / (the maximum transmission capacity of the public line (kW) × 8760 (h)).

[0039] Transformer utilization rate (f) c2 ) Unit of measurement: %; Indicator Explanation: Overall utilization efficiency of public distribution transformers over a year; Calculation method: Annual power supply of distribution transformer (kWh) / (rated capacity of distribution transformer (kVA) × 8760 × cosφ).

[0040] Interval average load factor (f) c3 ) Unit of measurement: %; Indicator Explanation: Load status of the utilized outgoing line bays in a substation; Calculation method: The average load rate (%) of the bay is the average of the maximum load rate of the 10kV bays with outgoing lines in a typical substation on a typical day.

[0041] Overall line loss rate (f) c4 ) Unit of measurement: %; Indicator Explanation: The ratio of the difference between the power supply and the sales volume of the 10kV and below distribution network to the total power supply of the 10kV and below distribution network; Calculation method: The comprehensive line loss rate (%) of 10kV and below is the percentage of the difference between the power supply and sales volume of the 10kV and below distribution network (kWh) to the power supply of the 10kV and below distribution network (kWh).

[0042] Increase in electricity sales per unit of investment (f) c5 ) Unit of measurement: kWh / yuan; Indicator definition: The ratio of the difference between the year-end electricity sales and the year-end electricity sales to the power grid investment during the statistical period; Calculation method: The increase in electricity sales per unit of investment (kWh / yuan) is the ratio of the difference between the electricity sales at the end of the period and the electricity sales at the beginning of the period (kWh) to the power grid investment (yuan) during the statistical period.

[0043] Interaction Index (f) d The calculation formula is as follows: f d =0.124(f d1 +f d2 +f d3 )+0.376f d4 +0.252f d5 .

[0044] Distributed energy penetration rate (f d1 ) Unit of measurement: %; Indicator Explanation: The proportion of new energy installed capacity to the region's annual maximum load; Calculation method: The new energy penetration rate (%) is the percentage of the ratio of new energy installed capacity (MW) to the region's annual maximum load (MW).

[0045] Charging pile penetration rate (f d2 ) Unit of measurement: %; Indicator Explanation: The ratio of the total power of charging piles to the region's annual maximum load; Calculation method: The charging pile penetration rate (%) is the percentage of the sum of the charging pile power (MW) in the area to the area's annual maximum load (MW).

[0046] Energy storage penetration rate (f) d3 ) Unit of measurement: %; Indicator Explanation: The proportion of energy storage capacity to half of the peak-valley difference of the maximum daily load in a typical region; Calculation method: Energy storage penetration rate (%) is the energy storage configuration capacity (MW) in the region / (peak-valley difference of the maximum load in the region on a typical day (MW) / 2).

[0047] Load peak-valley difference rate (f d4 ) Unit of measurement: %; Indicator Explanation: Reflects the magnitude of the peak-to-valley difference in a typical load day within a region; Calculation method: The load peak-valley difference rate (%) is (typical day regional peak load (MW) - typical day regional valley load (MW) / typical day regional peak load (MW).

[0048] Distribution transformer smart terminal coverage (f d5 ) Unit of measurement: %; Indicator Explanation: Reflects the scale of smart terminal installations in public distribution transformers; Calculation method: The coverage rate (%) of distribution transformer smart terminals is the number of public transformer areas with installed distribution transformer smart terminals (number of units) / the total number of public transformer areas (number of units).

[0049] The formula for calculating the distribution network resilience index F is as follows: F = λ a f a +λ b f b +λ c f c +λ d f d ; λ a +λ b +λ c +λ d =1; Where, λ a For the carrying capacity index f a The corresponding elastic weight, λ b The self-healing index f b The corresponding elastic weight, λ c For the efficiency index f c The corresponding elastic weight, λ d Interaction Index f d The corresponding elastic weight; in one specific embodiment of this scheme, λ a , λ b , λ c , λ dBoth are 0.25.

[0050] Table 1 shows the elasticity weight percentage of each elasticity indicator and the weight percentage of each elasticity factor in the elasticity indicator. Table 1. Reference Table for Evaluation Indicator Weights

[0051] Table 2 shows the scoring formulas for each elasticity index. Table 2. Elasticity Index Scoring Formula Table

[0052] The specific embodiments described above are preferred embodiments of the method for constructing a distribution network resilience index evaluation system for large-scale access of new energy sources according to the present invention. They are not intended to limit the specific scope of the present invention. The scope of the present invention includes, but is not limited to, these specific embodiments. All equivalent changes made in accordance with the shape and structure of the present invention are within the protection scope of the present invention.

Claims

1. A method for constructing a distribution network resilience index evaluation system for large-scale integration of new energy sources, characterized in that, Includes the following steps: S1. Obtain the resilience index of the distribution network that affects the large-scale integration of new energy sources; the resilience index includes the carrying capacity index. Self-healing index Performance index and interaction index ; S2. Obtain the elasticity factors that affect each elasticity index, and calculate the elasticity index based on the proportion of each elasticity factor; this also affects the efficiency index. The elasticity factors include: line utilization rate Distribution transformer utilization rate Interval average load rate Overall line loss rate and the increase in electricity sales per unit of investment ; Impact on efficiency index The calculation formula is as follows: ； in: Line utilization rate The calculation method is: annual power supply of public lines / (maximum transmission capacity of public lines × number of hours per year); Distribution transformer utilization rate The calculation method is: annual power supply of distribution transformer / (rated capacity of distribution transformer × number of hours per year × cosφ), where φ is the power factor angle; Interval average load factor The calculation method is: the average value of the maximum load rate of the 10kV bays with outgoing lines of a typical substation on a typical day; Overall line loss rate The calculation method is: the percentage of the difference between the power supply and the sales volume of the 10kV and below distribution network to the power supply of the 10kV and below distribution network; Increased electricity sales per unit of investment The calculation method is: the ratio of the difference between the annual electricity sales at the end of the period and the annual electricity sales at the beginning of the period to the power grid investment during the statistical period; Impact on Interaction Index The resilience factor includes the penetration rate of distributed energy resources. Charging pile penetration rate Energy storage penetration rate Peak-valley load difference rate and the coverage of smart terminals in distribution transformers ; Impact on Interaction Index The calculation formula is as follows: ； in: Distributed energy penetration rate The calculation method is as follows: the new energy penetration rate is the percentage of the ratio of new energy installed capacity to the region's annual maximum load; Charging pile penetration rate The calculation method is: the percentage of the sum of the charging pile power in the area to the area's annual maximum load ratio; Energy storage penetration rate The calculation method is: energy storage configuration capacity in the region / (peak-valley difference of the maximum load in the region on a typical day / 2); Peak-valley load difference rate The calculation method is: (Typical day regional peak load - Typical day regional off-peak load) / Typical day regional peak load; Distribution transformer smart terminal coverage The calculation method is: the number of public transformer substations with installed smart terminals / the total size of the public transformer substations; S3. Construct a distribution network resilience index evaluation system based on the resilience weights of each resilience index; Impact on self-healing index The resilience factors include: power supply reliability. Line N-1 pass rate Reasonableness of line segmentation Smart switch standard coverage and the self-healing rate of power distribution automation ; Self-healing index The calculation formula is as follows: ； in: Power supply reliability The calculation method is: the percentage of the statistical period time minus the average power outage time per household to the statistical period time; Line N-1 pass rate The calculation method is: the percentage of the number of 10kV lines that meet the N-1 condition to the total number of 10kV public lines; Line segmentation rationality The calculation method is: the percentage of the ratio of the number of lines with reasonable segmentation requirements to the total number of 10kV public lines; Smart switch standard coverage The calculation method is: number of intelligent switching devices used / number of intelligent switching devices that should be configured; Self-healing rate of power distribution automation The calculation method is: number of public lines with self-healing function / total number of public lines.

2. The method for constructing a distribution network resilience index evaluation system for large-scale new energy access as described in claim 1, characterized in that, Impact on carrying capacity index The flexibility factors include: standard wiring ratio Line load rate Distribution transformer overload rate Overall voltage qualification rate and the proportion of small cross-sections of the main trunk line ; Carrying capacity index The calculation formula is as follows: ； in: Standard wiring rate The calculation method is: number of public lines using standard wiring in the area / total number of public lines; Line overload rate The calculation method is: number of heavy-load public lines in the area / total number of public lines; Distribution transformer overload rate The calculation method is: number of heavily loaded public transformers in the area / total number of public transformers; Overall voltage qualification rate The calculation method is: the percentage of the cumulative operating time when the user's actual operating voltage deviation is within the limit range to the corresponding total operating statistical time; Main trunk line small cross-section ratio The calculation method is: the proportion of the number of lines with small cross-section trunk lines to the total number of lines in the region.

3. The method for constructing a distribution network resilience index evaluation system for large-scale new energy access according to claim 1, characterized in that, Distribution Network Resilience Index Evaluation System F The calculation formula is as follows: ； ； in, For carrying capacity index The corresponding elastic weights, Self-healing index The corresponding elastic weights, For efficiency index The corresponding elastic weights, Interaction Index The corresponding elastic weight.

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