Identification of Critical Nodes in Power Grid Based on Improved PageRank Algorithm and Power Flow Transfer Entropy

• DOI: 10.3390/electronics13010184
• Publication Date: 2023-12-31T09:51:51Z
• Authors: Jinhui Zeng; Yisong Wu; Jie Liu; Dong He; Zheng Lan
• Keywords: PageRank

Identifying critical nodes in the power grid is a crucial aspect of system security and stability analysis. However, current methods for identification fall short fully accounting transfer characteristics between consequences node removal on operation. To enhance effective accurate grid, method proposed. This based improved PageRank algorithm node-weighted flow entropy, referred to as IPRA-PFTE. Firstly, equivalent impedance nodes, introduction virtual an obtained. Then entropy derived by considering uniformity distribution following node. Finally, importance obtained combining with entropy. The method’s effectiveness accuracy are validated through simulation using IEEE 39-bus example subsequent comparison existing methods.