Affiliations: Department of Electronic Engineering, Hebi Automotive Engineering Vocational College, Hebi, Henan 458030, China
Correspondence:
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Corresponding author: Min Zhao, Department of Electronic Engineering, Hebi Automotive Engineering Vocational College, Hebi, Henan 458030, China. E-mail: zhaomin0392@126.com.
Abstract: To meet the requirement of the efficiency and accuracy for fault section location introduced by the construction and development of smart distribution network containing DG, a switching function model which can adapt itself to the change caused by switching of multiple DG is built and a network regional processing solution is raised. A fault section location for distribution network containing DG based on improved binary quantum particle swarm optimization (IBQPSO), which can effectively overcome the problem of global and local search capability imbalance in binary particle swarm optimization (BPSO), is proposed. The fault tolerance, rapidity and accuracy of this method are verified by simulation analysis of IEEE33 node system containing DG.
