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作 者:邢康 田京京 马永翔[1] 闫群民[1] XING Kang;TIAN Jingjing;MA Yongxiang;YAN Qunmin(School of Electrical Engineering,Shaanxi University of Technology,Hanzhong 723000,China;School of Mathematics and Computer Science,Shaanxi University of Technology,Hanzhong 723000,China)
机构地区:[1]陕西理工大学电气工程学院,陕西汉中723000 [2]陕西理工大学数学与计算机科学学院,陕西汉中723000
出 处:《陕西理工大学学报(自然科学版)》2025年第2期64-70,共7页Journal of Shaanxi University of Technology:Natural Science Edition
基 金:国家自然科学基金项目(11961041);国家社会科学基金重大项目(21&ZD153)。
摘 要:为了提高电网关键节点识别的准确性,构建了一种基于熵权-VIKOR算法同时考虑电网拓扑结构和电气特性的电网关键节点识别模型,并以IEEE-14节点为例进行验证。首先,利用复杂网络理论将电网的拓扑结构用邻接矩阵表示,再根据潮流计算提取电网节点的电气特性构建特征矩阵;其次,将电网的邻接矩阵和电气特性特征矩阵标准化处理之后构建评价矩阵;最后,将构建的评价矩阵利用改进的VIKOR算法进行重要度计算,根据重要度排序识别出关键节点。为了验证该方法的可行性,对IEEE-14节点系统进行随机攻击与蓄意攻击实验,电网的最大连通子图规模以及网络效率的结果显示,该模型能够准确识别关键节点。In order to improve the accuracy of identifying key nodes in the power grid,a power grid key node identification model based on the entropy weight VIKOR method is constructed,taking into account the topology and electrical characteristics of the power grid.The model is validated using IEEE-14 nodes as an example.Firstly,using complex network theory,the topology of the power grid is represented by adjacency matrix,then,based on power flow calculation,the electrical characteristics of power grid nodes are extracted to construct a feature matrix.Secondly,after standardizing the adjacency matrix of the grid and the electrical characteristic feature matrix,an evaluation matrix is construct.Finally,the improved VIKOR algorithm is used to calculate the importance based on the constructed evaluation matrix,and identify the key nodes according to the importance ranking.In order to verify the feasibility of the method proposed in this paper,random and deliberate attack experiments were conducted on the IEEE-14 node system.The results of the maximum connected subgraph size and network efficiency of the power grid showed that the key node identification model proposed in this paper can accurately identify key nodes.
关 键 词:复杂网络 VIKOR算法 电气特性 关键节点识别
分 类 号:TM727[电气工程—电力系统及自动化]
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