电力系统保护与控制2026，Vol.54Issue(12)：22-31,10.DOI:10.19783/j.cnki.pspc.251369
基于配电网电气-拓扑综合特性的区内节点关键程度评估方法
An intra-regional node criticality assessment method based on the integrated electrical-topological characteristics of distribution networks
摘要
Abstract
To address the challenges posed by the increasing scale and structural complexity of modern distribution networks,and to effectively evaluate node criticality for enhancing system operational reliability,this paper proposes an intra-regional node criticality assessment method that comprehensively considers both electrical characteristics and topological structure.First,based on the node impedance matrix and sensitivity matrix,a criticality index reflecting the electrical characteristics of nodes is proposed.By combining local and global topological structures,a topological criticality index is proposed to characterize the structural importance of nodes.These indices are combined to construct an electro-topological coupling matrix(ETCM).Then,based on the ETCM,a comprehensive node criticality index incorporating both electrical and topological properties is proposed to evaluate node criticality using system-wide information.A two-level partitioning strategy combining the threshold method and Gaussian kernel function is developed to divide the distribution network into multiple subregions.Finally,the criticality of nodes within each subregion is assessed using the corresponding sub electro-topological coupling matrix(SETCM),enabling a more reasonable evaluation of node importance from a regional perspective.Simulations on the modified IEEE 33-node system demonstrate the effectiveness of the proposed method in assessing node criticality.关键词
配电网/电气特性关键程度指标/拓扑结构关键程度指标/电气-拓扑综合关联矩阵/分区策略/节点关键程度评估Key words
distribution network/electrical-characteristic criticality index/topological-structure criticality index/electro-topological coupling matrix/partitioning strategy/node criticality assessment引用本文复制引用
马莉,邓新宇,冯茜茜,岳志奎,贾雨萌,孙茜雯..基于配电网电气-拓扑综合特性的区内节点关键程度评估方法[J].电力系统保护与控制,2026,54(12):22-31,10.基金项目
This work is supported by the National Natural Science Foundation of China(No.52577138). 国家自然科学基金项目资助(52577138) （No.52577138）
