基于节点动静态指标的电网节点重要度的评估研究

doi:10.16180/j.cnki.issn1007-7820.2023.04.001

Abstract

Abstract:

With the continuous development of smart grid technology, the scientific and accurate evaluation of smart grid with high reliability is required. The failure of important nodes in the smart grid will lead to large-scale power outages, so the evaluation of the important nodes in the smart grid is an important manifestation of evaluating the reliability of the smart grid.In this study, different dynamic and static comprehensive indicators such as local environment, global attribute, network topology and load level of nodes are studied. These comprehensive indicator models are used to evaluate the importance of nodes in smart grid. Finally, the TOPSIS method is adopted to combine dynamic and static indicators to evaluate the importance of smart grid nodes, and the IEEE-30 nodes are simulated and verified. The results show that the importance of node 6 is relatively high, which should be protected.

Key words: smart grid, dynamic and static indicators, node importance degree, betweenness, network efficiency, load grade, node deletion, TOPSIS

CLC Number:

TP301.6

SUN Xiuting,LI Yonggang,ZHANG Xing,XU Zhongyu,YU Yu. Importance Evaluation of Power Grid Nodes Based on Dynamic and Static Indexes[J].Electronic Science and Technology, 2023, 36(4): 1-8.

Figures/Tables 12

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References 18

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节点编号	传统方法		本文提出的方法
节点编号	重要度	排名	重要度	排名
6	0.802 3	1	0.796 3	1
15	0.493 5	5	0.491 8	5
9	0.330 9	11	0.329 8	11
30	0.254 3	14	0.253 8	13
29	0.254 3	13	0.253 6	14
19	0.222 1	15	0.221 7	16
18	0.222 1	16	0.221 6	17
5	0.217 6	17	0.224 8	15
13	0.152 4	29	0.152 1	29

Importance Evaluation of Power Grid Nodes Based on Dynamic and Static Indexes

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排序	编号	重要度	排序	编号	重要度
1	6	0.796 3	16	19	0.221 7
2	10	0.743 7	17	18	0.221 6
3	12	0.635 2	18	1	0.217 0
4	27	0.494 9	19	14	0.215 0
5	15	0.491 8	20	3	0.205 2
6	2	0.484 3	21	16	0.201 0
7	4	0.478 6	22	21	0.200 5
8	25	0.344 4	23	23	0.196 9
9	24	0.334 9	24	26	0.195 6
10	22	0.332 3	25	8	0.191 6
11	9	0.329 8	26	20	0.189 6
12	28	0.329 0	27	7	0.185 1
13	30	0.253 8	28	17	0.184 5
14	29	0.253 6	29	13	0.152 1
15	5	0.224 8	30	11	0.149 4

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