可再生能源2025，Vol.43Issue(4)：521-527,7.
基于区间电气 DebtRank 算法的含风电电力系统脆弱节点识别
Identification of vulnerable nodes in power system containing wind power based on interval Electrical DebtRank algorithm
摘要
Abstract
In response to the issue that the randomness and volatility of wind power can affect the vulnerability assessment of the power grid and the identification of critical nodes,this paper proposes an interval-based Electrical DebtRank algorithm to identify vulnerable nodes within the power grid.The method first incorporates the node's offset status and characteristics to improve the traditional Electrical DebtRank algorithm.Then,interval numbers are used to represent the randomness and volatility of wind power generation,leading to the development of the interval-based Electrical DebtRank algorithm to identify vulnerable nodes in a wind-integrated power system.Finally,simulation results on the IEEE-118 bus system demonstrate that when the vulnerable nodes identified by the proposed method are attacked,the system's power supply capability drops to 33%of its normal state,with a significant reduction in the system's power transmission capacity.关键词
脆弱性评估/关键节点/偏移状态/区间电气DebtRank算法Key words
vulnerability assessment/critical nodes/migration status/interval Electrical DebtRank algorithm分类
能源与动力引用本文复制引用
李利娟,李月,丁钢伟,吕志强,曾亦惟..基于区间电气 DebtRank 算法的含风电电力系统脆弱节点识别[J].可再生能源,2025,43(4):521-527,7.基金项目
国家自然科学基金(52077189). （52077189）
