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Power system key node identification method and system based on entropy weight method

A power system and key node technology, applied in the field of power systems, can solve the problems of identifying the power grid system, the evaluation method is not accurate enough, and the system influencing factors cannot be comprehensively considered, so as to reduce the probability of occurrence, the sorting results are accurate and reasonable, and the reliability is improved. sexual effect

Inactive Publication Date: 2020-09-22
SHANGHAI JIAO TONG UNIV +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing research usually only selects one indicator to evaluate the importance of key nodes, and cannot fully consider the influencing factors of all aspects of the system. This evaluation method is not accurate enough, and it is difficult to truly and accurately identify the key nodes in the power grid system.

Method used

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  • Power system key node identification method and system based on entropy weight method
  • Power system key node identification method and system based on entropy weight method
  • Power system key node identification method and system based on entropy weight method

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Embodiment approach

[0062] see figure 1 As shown, the present invention provides a method for identifying key nodes in a power system based on the entropy weight method, including:

[0063] Step 1. Collect the topological structure of the power system and perform power flow calculation;

[0064] Step 2. Calculate the node structure index and node status index of each node in the power system according to the power flow calculation result;

[0065] Step 2.1, use the electrical betweenness of the node as the first node structure index, define the electrical betweenness of the node as the number of the shortest path of all node pairs in the power grid passing through the node, the calculation method is: first use the Dijkstra algorithm to calculate each The shortest path between node pairs, that is, the number of nodes passed between the start point and the end point, and then count the number of occurrences of each node in each path to obtain the electrical betweenness to each node.

[0066] Step...

Embodiment 1

[0098] by figure 2 The shown IEEE3 machine 9-node power system is taken as an example, the system has 9 nodes and 9 lines;

[0099] The topological structure of the power system is collected, and the power flow calculation is performed; the parameters of each line of the power system are shown in Table 1:

[0100] Table 1. IEEE 9-node system line parameters

[0101]

[0102] The steps of the key node identification method of the power system are as follows:

[0103] Calculate the electrical betweenness of each node of the power system according to step 2.1;

[0104] Calculate the transmission efficiency E of the entire power system according to the formula (1) in step 2.2 0 ;

[0105] According to the formula (2) in step 2.2, calculate the vulnerability V of the grid transmission efficiency of the node i ;

[0106] Calculate the weighted node degree value S of the node according to the formula (3) in step 2.3 i ;

[0107] According to step 3, an evaluation matrix X...

Embodiment 2

[0118] The present invention also provides a key node identification system of a power system based on the entropy weight method, including:

[0119] The collection module is used to collect the topology structure of the power system and perform power flow calculation;

[0120] The index calculation module is used to calculate the node structure index and node state index of each node of the power system according to the power flow calculation result;

[0121] A matrix construction module for constructing an evaluation matrix based on node structure indicators and node status indicators;

[0122] A normalization module is used to normalize the evaluation matrix;

[0123] The information entropy weight calculation module is used to calculate the information entropy weight of each evaluation index by using the information entropy weight method according to the normalized processing results;

[0124] The recognition module is used to calculate the degree of deviation between th...

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Abstract

The invention provides a power system key node identification method and system based on an entropy weight method. The method comprises steps of 1, collecting a topological structure of a power system, and carrying out load flow calculation; 2, calculating node structure indexes and node state indexes of each node of the power system according to the load flow calculation result; 3, constructing an evaluation matrix based on the node structure indexes and the node state indexes; 4, performing normalization processing of the evaluation matrix; 5, calculating the information entropy weight of each evaluation index by adopting an information entropy weight method according to the normalization processing result; and 6, based on the information entropy weight, calculating the deviation degreebetween an evaluation vector of the evaluated node and the positive ideal point and the negative ideal point, and identifying a key node based on the deviation degree. The method is advantaged in thatfrom the perspective of prevention, a basis is provided for effectively improving reliability of a power system and reducing the occurrence probability of large-scale power failure accidents.

Description

technical field [0001] The invention belongs to the technical field of power systems, and particularly designs a method and system for identifying key nodes of a power system based on an entropy weight method. Background technique [0002] In recent years, power system blackout accidents have occurred from time to time, which has sounded the alarm for the safe and stable operation of the power system. Large-scale power outages are often caused by a small number of component failures, and gradually expand. In the expansion stage, they are closely related to the vulnerable links in the power grid. Therefore, from the perspective of prevention, identifying the joint nodes in the power grid is an effective way to improve power. The reliability of the system and the basis for reducing the probability of large-scale power outages. [0003] Existing research usually only selects one index to evaluate the importance of key nodes, and cannot fully consider the influencing factors of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/06G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q50/06H02J3/06H02J2203/10H02J2203/20Y04S10/50
Inventor 严正徐潇源王梦圆冯树海程海花曾丹郭艳敏王礼文杨辰星
Owner SHANGHAI JIAO TONG UNIV
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