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Critical Node Identification Method of Power Grid Based on the Improved Entropy Weight Method.

Authors :
Li, Guanghuan
Zhang, Lixia
Wang, Yang
Kang, Zhongjian
Source :
Electronics (2079-9292); Jun2023, Vol. 12 Issue 11, p2439, 16p
Publication Year :
2023

Abstract

It is very important to accurately identify the critical nodes of the power grid for its safe and stable operation. In this paper, a method for identifying the critical nodes of the power grid based on the improved entropy weight method (IEWM) is proposed, and the IEWM corrects issues with the information overlap between evaluation indices and inconsistency between the entropy weight (EW) and entropy value (EV). First, considering the power grid topology and operating conditions, structural factor evaluation indices and state factor evaluation indices are established. On this basis, the IEWM is used to assign weights to nodes with different voltage levels, which strengthens the consideration of node voltage levels in the identification method of critical nodes and makes the results more accurate and effective. Simulation experiments of IEEE 30-bus and IEEE 118-bus systems verify the accuracy of the critical node identification method proposed in this paper. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20799292
Volume :
12
Issue :
11
Database :
Complementary Index
Journal :
Electronics (2079-9292)
Publication Type :
Academic Journal
Accession number :
164215608
Full Text :
https://doi.org/10.3390/electronics12112439