Fault location estimation based on voltage sag information of PQMS

被引：0

作者：

Zhao C. ^{[1
]}

Tao S. ^{[1
]}

Xiao X. ^{[1
]}

机构：

[1] State Key Laboratory for Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Changping District, Beijing

来源：

Dianwang Jishu/Power System Technology | 2016年 / 40卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Fault influence domain; Fault location; Fault resistance; Power quality monitoring system; Voltage sag;

D O I：

10.13335/j.1000-3673.pst.2016.02.044

中图分类号：

学科分类号：

摘要：

This paper proposes a novel method of fault location estimation based on analysis of voltage sag data of PQMS. Based on multi-source information fusion, fault position and fault resistance can be calculated with particle swarm optimization algorithm. Furthermore, a novel concept of fault influence area is proposed based on fault location estimation result. It can reflect area of consumers influenced by fault and provide data basis for maintaining secure and stable operation. Finally, two examples are given to demonstrate availability and accuracy of the method with MATLAB. The result shows that improvement of location estimation accuracy is achieved more effectively with improving measurement accuracy than with increasing number of PQ monitors. © 2016, Power System Technology Press. All right reserved.

引用

页码：642 / 648

页数：6

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