CN-115860540-B - Power grid transformation point selection method, system, equipment and medium based on quantitative scoring

CN115860540BCN 115860540 BCN115860540 BCN 115860540BCN-115860540-B

Abstract

The invention discloses a method, a system, equipment and a medium for selecting points in power grid transformation based on quantitative scores, wherein the method comprises the following steps of obtaining feeder line topological structure data, automatic power grid nodes and medium and low voltage user data of a region to be transformed in a power distribution network, segmenting a feeder line by taking the automatic power grid nodes as endpoints to obtain segmented regions, carrying out power supply safety analysis to obtain qualified points, calculating scrapped net values and investment costs of power equipment in all the qualified points, using z-score standardized sigmod to convert scores to obtain scrapped net value scores and investment cost scores, carrying out weighted summation based on the scrapped net value scores and the investment cost scores, obtaining quantitative scores of the qualified points, and sequencing and selecting the qualified point with the highest quantitative score as the optimal power grid transformation point. According to the invention, the influence factors during automatic point selection are comprehensively considered, the automatic selection of the power grid transformation nodes is simply and effectively realized, and the efficiency of power grid analysis and power grid planning of the power department is improved.

Inventors

TONG JIAPENG
YANG BINJIE
BAO YUHANG
CHEN HENGAN
CHEN YI
HUANG XIFENG
HUANG WENDONG
ZHANG YU
WU HENG
WANG JIAYAN
LU HONGZHI
LU HUI
LUO LINHUAN

Assignees

广东电网有限责任公司广州供电局

Dates

Publication Date: 20260508
Application Date: 20221201

Claims (8)

1. The power grid transformation point selection method based on the quantitative score is characterized by comprising the following steps of: acquiring feeder topological structure data, automatic power grid nodes and medium-low voltage user data of a region to be modified in a power distribution network; According to the feeder topological structure data of the area to be reformed, segmenting the feeder by taking the automatic power grid node as an endpoint to obtain a segmented area, and then carrying out power supply safety analysis on the power grid node in the segmented area according to the medium-low voltage user data to obtain qualified selection points, wherein the method specifically comprises the following steps of: on a certain feeder line in the feeder line topological structure data of the area to be modified, dividing the feeder line into a plurality of segmented areas by taking an automatic power grid node on the feeder line as an endpoint; and then performing power supply safety analysis on each segmented region, including: Respectively determining whether the number of medium-voltage users in each segmented area is smaller than m ' and whether the number of low-voltage users is smaller than n ' according to the medium-low-voltage user data and the power grid transformation target, and if not, determining that the segmented area is the segmented area to be transformed; Traversing the power grid nodes in the segmented area to be modified, if a certain power grid node enables the number of medium voltage users in the area reaching the end point to be smaller than m ' and the number of low voltage users to be smaller than n ' , taking the power grid node as a qualified selection point, and repartitioning the segmented area by taking the power grid node as the end point, and continuing power supply safety analysis until all the segmented areas on the feeder line meet power supply safety analysis; calculating the minimum self-healing rate of each segmented area respectively, if the set self-healing rate is not met, the segmented area is the segmented area to be modified, the segmented area is divided again, and power supply safety analysis is continued until the set self-healing rate is met; the minimum self-healing rate=1-the number of medium voltage users in the segmented area/the total number of medium voltage users of the feeder line where the user is located; Carrying out power supply safety analysis on each feeder line to obtain all qualified selection points; Calculating the scrapping net value and investment cost of the electric equipment in all qualified points, obtaining the scrapping net value score and investment cost score by using z-score standardized sigmod conversion scores, obtaining the operation years, the asset original values and the asset life cycles of the electric equipment in the qualified points, and calculating the scrapping net value of the electric equipment in all the qualified points, wherein the method comprises the following specific steps: If n qualified selection points are arranged on a certain feed line, m kinds of power equipment are needed to be modified after the standby cabinet is removed, and the z n,i calculation formula of the scrapped net value of the ith power equipment is as follows: , Wherein x n,i is the number of the ith power equipment in the nth qualified point, y n,i is the operation life of the ith power equipment in the nth qualified point, p i is the asset life cycle of the ith power equipment, and q i is the asset original value of the ith power equipment; the total net scrap value for the nth qualified select point on the feeder is: , calculating qualified points on all feed lines to obtain total scrapped net values of all the qualified points; and carrying out weighted summation based on the scrapping net value score and the investment cost score, obtaining the quantization scores of the qualified selection points, and sorting and selecting the qualified selection point with the highest quantization score as the optimal grid transformation selection point.
2. The grid transformation point selection method based on quantitative scoring according to claim 1, wherein the price of each power equipment in the current year is obtained, and the investment cost of the power equipment in all qualified points is calculated, specifically: Removing the standby cabinets in all qualified selection points; if n qualified selection points are arranged on a certain feed line, m kinds of power equipment are needed to be modified after the standby cabinet is removed, the price of each power equipment in the current year is used as a configuration coefficient, and the investment cost of the qualified selection points is calculated, wherein the formula is as follows: , wherein M n is the investment cost of the nth qualified point, lambda n,i is the price of the ith power equipment in the current year in the nth qualified point, and C n,i is the number of the ith power equipment in the nth qualified point; and calculating the qualified selection points on all the feed lines to obtain the investment cost of all the qualified selection points.
3. The method for selecting points for power grid transformation based on quantitative score according to claim 2, wherein after calculating total net scrap value and investment cost of all nodes, z-score standardization is used for scoring quantification, and then characteristics of sigmod function value fields in (0, 1) are used for mapping to obtain net scrap value scores and investment cost scores, specifically: Setting n qualified selection points on a feed line, wherein the scrapped net value of the qualified selection points is W n , and the scrapped net value average value is Investment cost of qualified selection point is M n , and average value of investment cost is ; Weighting investment cost according to the z-score standardization to obtain the scrapped net value quantized value of qualified selected points And investment cost quantized value The formula is: , ; according to the rule that the score is lower as the quantized value is higher, the scrapped net value of the qualified selected point is quantized And investment cost quantized value Mapping on a sigmoid function and performing equal scaling to obtain a discard net value score V n and an investment cost score U n of the qualified selected points, wherein the formula is as follows: , , Wherein Y max is the maximum value of Y n and S max is the maximum value of S n ; , , and scoring the qualified selected points on all the feed lines to obtain the scrapped net value scores and the investment cost scores of all the qualified selected points.
4. The grid transformation selecting method based on the quantization scores according to claim 3, wherein the method is characterized in that the quantization scores of the qualified selecting points are obtained, and the qualified selecting point with the highest quantization score is selected in a sorting way as the optimal grid transformation selecting point, specifically: setting n qualified selection points on a feed line, and calculating quantitative scores of the qualified selection points after obtaining a scrapped net value score and an investment cost score, wherein the formula is as follows: C n = λ 1 U n + λ 2 V n ,n=1,2,3,... Wherein λ 1 、λ 2 is a weight coefficient, 0< λ 1 , λ 2 <1 and λ 1 +λ 2 =1; Sorting the quantization scores of the qualified points on the feeder line, and selecting the qualified point with the highest quantization score as the optimal power grid transformation point on the feeder line: P=max(C n ),n=1,2,3,..., And carrying out quantitative scoring on qualified selection points on all the feed lines to obtain the optimal grid transformation selection points on each feed line.
5. The grid transformation point selection method based on quantitative scores according to claim 4, characterized in that the method further comprises: And visually displaying the optimal power grid transformation selection point on a feeder line topological structure diagram of the area to be transformed.
6. The grid transformation point selection system based on the quantitative score is characterized by comprising a data acquisition module, a qualified point selection module, a score calculation module and an optimal point selection module; the data acquisition module is used for acquiring feeder topological structure data of a region to be modified, automatic power grid nodes and medium-low voltage user data in the power distribution network; The qualified point selection module is used for segmenting a feeder line to obtain a segmented area by taking an automatic power grid node as an endpoint according to feeder line topological structure data of the area to be modified, and then carrying out power supply safety analysis on the power grid node in the segmented area according to medium-low voltage user data to obtain qualified point selection, which comprises the following specific steps: on a certain feeder line in the feeder line topological structure data of the area to be modified, dividing the feeder line into a plurality of segmented areas by taking an automatic power grid node on the feeder line as an endpoint; and then performing power supply safety analysis on each segmented region, including: Respectively determining whether the number of medium-voltage users in each segmented area is smaller than m ' and whether the number of low-voltage users is smaller than n ' according to the medium-low-voltage user data and the power grid transformation target, and if not, determining that the segmented area is the segmented area to be transformed; Traversing the power grid nodes in the segmented area to be modified, if a certain power grid node enables the number of medium voltage users in the area reaching the end point to be smaller than m ' and the number of low voltage users to be smaller than n ' , taking the power grid node as a qualified selection point, and repartitioning the segmented area by taking the power grid node as the end point, and continuing power supply safety analysis until all the segmented areas on the feeder line meet power supply safety analysis; calculating the minimum self-healing rate of each segmented area respectively, if the set self-healing rate is not met, the segmented area is the segmented area to be modified, the segmented area is divided again, and power supply safety analysis is continued until the set self-healing rate is met; the minimum self-healing rate=1-the number of medium voltage users in the segmented area/the total number of medium voltage users of the feeder line where the user is located; Carrying out power supply safety analysis on each feeder line to obtain all qualified selection points; The scoring calculation module is used for calculating the scrapping net value and the investment cost of the electric equipment in all qualified points, obtaining the scrapping net value score and the investment cost score by using z-score standardization sigmod conversion scores, obtaining the operation years, the asset original value and the asset life cycle of the electric equipment in the qualified points, and calculating the scrapping net value of the electric equipment in all the qualified points, wherein the method specifically comprises the following steps: If n qualified selection points are arranged on a certain feed line, m kinds of power equipment are needed to be modified after the standby cabinet is removed, and the z n,i calculation formula of the scrapped net value of the ith power equipment is as follows: , Wherein x n,i is the number of the ith power equipment in the nth qualified point, y n,i is the operation life of the ith power equipment in the nth qualified point, p i is the asset life cycle of the ith power equipment, and q i is the asset original value of the ith power equipment; the total net scrap value for the nth qualified select point on the feeder is: , calculating qualified points on all feed lines to obtain total scrapped net values of all the qualified points; And the optimal point selection module is used for carrying out weighted summation based on the scrapped net value scores and the investment cost scores, obtaining the quantitative scores of the qualified point selection and sequencing and selecting the qualified point selection with the highest quantitative score as the optimal power grid transformation point selection.
7. An electronic device, the electronic device comprising: At least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores computer program instructions executable by the at least one processor to enable the at least one processor to perform the grid re-engineering setpoint method based on a quantization score as claimed in any one of claims 1-5.
8. A computer readable storage medium storing a program, wherein the program when executed by a processor implements the grid modification and setpoint method based on quantization scoring of any one of claims 1-5.

Description

Power grid transformation point selection method, system, equipment and medium based on quantitative scoring Technical Field The invention belongs to the technical field of power grid node transformation, and particularly relates to a power grid transformation point selection method, system, equipment and medium based on quantitative scoring. Background In recent years, with the development of society and the increasing promotion of living standard of people, the requirements of people on power supply reliability are higher and higher. The power failure not only brings various inconveniences to people living, but also brings huge losses to industrial and agricultural production. One of the effective means for improving the power supply reliability and shortening the power failure time of the power supply department is to reform and upgrade the electric room in the power grid to form the electric room with an automatic function, so that the power supply in the non-fault area can be quickly isolated through remote control and other operations after the fault occurs. However, there are often thousands of electric rooms in an area to be modified in a city, and the electric rooms are distributed on hundreds or even thousands of 10kV power supply lines (hereinafter referred to as feeder lines). If all the electric rooms are reformed at one time, a large amount of funds are needed, large-area power failure is caused, and the method is neither economical nor feasible, so that the problem of how to reform the proper electric room (also called as a power grid node) on a 10kV feeder line, namely the point selection problem, is generated. When a power grid planning person selects a power grid node needing to be improved, an electric room with an automatic function is manually marked on a feeder line diagram, a feeder line is divided into a plurality of sections through the feeder line, information such as the number of users in each section is synthesized to determine the section needing to be improved, then an economic reasonable improvement selection point is selected according to experience comprehensive investment cost and investment benefit, but the method is seriously dependent on experience and cognition level of the planning selection point person, the improvement cost and factors are balanced through personal cognition, an evaluation result is not scientific enough, the method is completely carried out depending on manual marking, efficiency is low, influencing factors considered during the selection point are not comprehensive enough and granularity is insufficient, for example, in the aspect of power supply safety, the distribution condition of medium-voltage users in the feeder line is considered, the distribution condition of low-voltage users is considered, and in the aspect of investment benefit maximization, the power grid planning lacks economic analysis for meeting the requirements of power supply reliability of society as soon as possible, and is lack of consideration in the aspect of accurate investment. Disclosure of Invention The invention mainly aims to overcome the defects and shortcomings of the prior art and provide a method, a system, equipment and a medium for selecting points in power grid transformation based on quantitative scoring, wherein the method is based on the existing automatic power grid nodes for segmentation, then power supply safety analysis is carried out on the power grid nodes in a segmented area, qualified points are initially selected, quantitative scoring is carried out on the qualified points in combination with two dimensions of scrapped net value and investment cost, and the optimal power grid transformation points are selected; according to the invention, the influence factors during automatic point selection are comprehensively considered, the automatic selection of the power grid transformation nodes is simply and effectively realized, and the efficiency of power grid analysis and power grid planning of the power department is improved. In order to achieve the above purpose, the invention discloses a method for selecting points for power grid transformation based on quantitative scoring, which comprises the following steps: acquiring feeder topological structure data, automatic power grid nodes and medium-low voltage user data of a region to be modified in a power distribution network; According to the feeder topological structure data of the area to be reformed, segmenting the feeder by taking the automatic power grid node as an endpoint to obtain a segmented area, and then carrying out power supply safety analysis on the power grid node in the segmented area according to the medium-low voltage user data to obtain a qualified selection point; Calculating the scrapped net value and investment cost of the power equipment in all qualified points, and obtaining scrapped net value scores and investment cost scores by using z-score standardized sigmod conversion scores;