典型文献
Consensus Clustering for Bi-objective Power Network Partition
文献摘要：
Partitioning a complex power network into a num-ber of sub-zones can help realize a"divide-and-conquer"manage-ment structure for the whole system,such as voltage and reactive power control,coherency identification,power system restoration,etc.Extensive partitioning methods have been proposed by defining various distances,applying different clustering methods,or formulating varying optimization models for one specific objec-tive.However,a power network partition may serve two or more objectives,where a trade-off among these objectives is required.This paper proposes a novel weighted consensus clustering-based approach for bi-objective power network partition.By varying the weights of different partitions for different objectives,Pareto improvement can be explored based on the node-based and subset-based consensus clustering methods.Case studies on the IEEE 300-bus test system are conducted to verify the effectiveness and superiority of our proposed method.
文献关键词：
中图分类号：
作者姓名：
Yi Wang;Luzian Lebovitz;Kedi Zheng;Yao Zhou
作者机构：
Power Systems Laboratory,ETH Zurich,8092 Zurich,Switzer-land;Department of Electrical Engineering,Tsinghua University,Beijing 100084,China;School of Engineering,the University of Edinburgh,EH9 3FB,Edinburgh,UK
文献出处：
引用格式：
[1]Yi Wang;Luzian Lebovitz;Kedi Zheng;Yao Zhou-.Consensus Clustering for Bi-objective Power Network Partition)[J].中国电机工程学会电力与能源系统学报（英文版）,2022(04):973-982
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AB值：
0.646198
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