Fault Diagnosis for Power System Using Time Sequence Fuzzy Petri Net

DOI

10.2991/icmeis-15.2015.135How to use a DOI?

Keywords

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

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan Bin Sun
AU  - Yi Ping Chen
AU  - Zhan Bai
AU  - Shi Hong Miao
AU  - Wei Yao
AU  - Jinyu Wen
AU  - Yun He Hou
PY  - 2015/08
DA  - 2015/08
TI  - Fault Diagnosis for Power System Using Time Sequence Fuzzy Petri Net
BT  - Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
PB  - Atlantis Press
SP  - 729
EP  - 735
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeis-15.2015.135
DO  - 10.2991/icmeis-15.2015.135
ID  - Sun2015/08
ER  -