计算机与数字工程2026，Vol.54Issue(3)：617-622,6.DOI:10.3969/j.issn.1672-9722.2026.03.006
电力系统最小驱动节点集筛选算法
Minimum Driver Node Sets Selection Algorithm for Power Systems
摘要
Abstract
In electrical power systems,failure of certain nodes may lead to cascading failures,and a set of nodes needs to be selected for human control in order to reduce losses.Considering the relationship between controllability and topology of the power network,this paper proposes an EC index based on node controllability centrality and electrical betweenness for node selection.Firstly,the minimum number of driving nodes required for the network is determined.Then,effective signal inputs in the network are screened based on the PBH criterion and the theory of precise controllability of the network.Finally,input signals are provided on the optimal set of driving nodes to achieve complete controllability of the network.By using the minimum non-zero eigenvalue of the modified Laplacian matrix as the evaluation index,the proposed method can obtain the optimal set of driving nodes compared with five other screening strategies.关键词
最小驱动节点集/网络能控性/电气介数/节点控制能力Key words
minimum driver node set/network controllability/electrical betweenness/node control capability分类
信息技术与安全科学引用本文复制引用
葛耀东,李琰,宋晴,徐天奇..电力系统最小驱动节点集筛选算法[J].计算机与数字工程,2026,54(3):617-622,6.基金项目
国家自然科学基金项目(编号:62062068) （编号:62062068）
云南民族大学2022年硕士研究生科研创新基金项目(编号:2022SKY007) （编号:2022SKY007）
云南省教育厅科学研究基金项目(编号:2023Y0501)资助. （编号:2023Y0501）
