Fault Diagnosis for Power System Using Time Sequence Fuzzy Petri Net

被引：0

作者：

Sun Yan Bin ^{[1
]}

Chen Yi Ping ^{[1
]}

Bai Zhan ^{[2
]}

Miao Shi Hong ^{[2
]}

Yao Wei ^{[2
]}

Wen Jinyu ^{[2
]}

Hou Yun He ^{[3
]}

机构：

[1] China Southern Power Grid Co, Guangzhou, Guangdong, Peoples R China

[2] Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, Wuhan 430074, Peoples R China

[3] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND INTELLIGENT SYSTEMS (ICMEIS 2015) | 2015年 / 26卷

关键词：

Fault diagnosis; power system; time sequence; fuzzy petri net;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper, time sequence fuzzy petri net (TSFPN) is proposed to build power system fault diagnosis models. Firstly, on the basic of taking the influence of incomplete and uncertain relay protection alarm information on fault diagnosis into consideration, the structure of TSFPN and the fuzzy inference approach are proposed. Then, the time constraint characteristics of alarm information and the time sequence checking method are introduced. Finally, by several simulation examples, the fault tolerance and validity of the proposed method is testified, even in the situation with complex fault scenario.

引用

页码：729 / 735

页数：7

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