A multiple model filtering approach to transmission line fault diagnosis

被引：10

作者：

Qin, Qiu ^{[1
]}

Wu, N. Eva ^{[1
]}

机构：

[1] SUNY Binghamton, Dept Elect & Comp Engn, 4400 Vestal Pkwy E, Binghamton, NY 13902 USA

来源：

CONTROL ENGINEERING PRACTICE | 2016年 / 52卷

关键词：

Power systems; Transmission line short circuit; Fault diagnosis; Multiple model filtering; Mode identification; Model order reduction; BACKUP PROTECTION; DETECTION/LOCATION TECHNIQUE; SYSTEMS; IMPLEMENTATION;

D O I：

10.1016/j.conengprac.2016.04.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper provides justification and implementation for a multiple model filtering approach to diagnosis of transmission line three-phase short to ground faults in the presence of protection misoperations. This approach utilizes the electric network dynamics and wide area measurements to provide diagnosis outcomes. A second focus of this paper is on the reduction of computational complexity of the diagnosis algorithm. This issue is addressed by a two-step heuristic. The first step designs subsystem models through measurement selection. The second step reduces the dynamic model order. The performance of the diagnosis algorithms are evaluated on a simulated WSCC 9-bus system. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：93 / 102

页数：10

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