Identifying critical nodes in power networks: A group-driven framework

作者：

Highlights：

• We proposed a group-driven critical nodes identification framework.

• A fuzzy tightness metric was designed to measure the agglomeration phenomenon.

• We provided a preliminary tool to soften the metrics of evaluating hard groups.

• We demonstrated GDF-ICN’s performance on several benchmark power networks.

摘要

•We proposed a group-driven critical nodes identification framework.•A fuzzy tightness metric was designed to measure the agglomeration phenomenon.•We provided a preliminary tool to soften the metrics of evaluating hard groups.•We demonstrated GDF-ICN’s performance on several benchmark power networks.

论文关键词：Power network,Critical nodes,Group structure,Group-driven framework

论文评审过程：Received 9 February 2021, Revised 20 October 2021, Accepted 15 January 2022, Available online 17 February 2022, Version of Record 21 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116557