摘要
为获取较优的配电网拓扑结构并识别网络关键节点和线路,提出一种综合多属性的配电网结构优化和关键节点线路识别方法。首先利用支路交换法获取多个配电网拓扑图,然后基于复杂网络理论构造抗毁性指标,接着采用改进的TOPSIS法找出最优网络,最后构造重要性指标识别关键节点和线路。以IEEE33和PG&E69节点系统为例,对网络做随机攻击,验证优化后的配电网具有更强的抗攻击能力;对配电网采取随机攻击和蓄意攻击,结果表明,在蓄意攻击中,网络的各项指标下降更加显著,证明本方法能够有效识别出关键节点和线路。
To obtain a better topology and identify the key nodes and lines of distribution networks,this paper presents a multi-attribute method for optimizing network structure and identifying key nodes and lines.Firstly,multiple distribution network topologies are obtained by the branch-exchange algorithm.Secondly,the invulnerability indices are constructed based on complex network theory.Then,the improved TOPSIS method is used to find the optimal network.Finally,the importance indices are constructed to identify key nodes and lines.Taking the 33-bus and 69-bus systems as examples,it verified that the optimized distribution network has stronger anti-attack ability through random attack.Random attacks and deliberate attacks are used on the distribution network.The results show that the network parameters significantly decrease under deliberate attacks,which proves that this method can effectively identify the key nodes and lines.
作者
林思宇
文娟
屈星
肖乾康
LIN Siyu;WEN Juan;QU Xing;XIAO Qiankang(School of Electrical Engineering,University of South China,Hengyang 421000,China)
出处
《复杂系统与复杂性科学》
CAS
CSCD
北大核心
2024年第3期46-54,共9页
Complex Systems and Complexity Science
基金
国家自然科学基金(62003157)
湖南省教育厅优秀青年基金(21B0434)。
关键词
TOPSIS法
支路交换法
复杂网络
结构优化
关键节点线路
TOPSIS method
branch-exchange algorithm
complex network
structure optimization
key nodes and lines
