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| Power System Fault Analysis Based on Hierarchical Fuzzy Petri Net Considering Time Association Character |
| Cheng Xuezhen1, 2, Lin Xiaoxiao1, 2, Zhu Chunhua1, 2, Chen Qiang2, 3, Cao Maoyong1, 2 |
1. College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao 266590 China;
2. State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology Shandong University of Science and Technology Qingdao 266590 China;
3. State Grid Fujian Electric Power Company Putian Power Supply Company Putian 351100 China |
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Abstract In order to improve the accuracy of power system fault diagnosis, a power grid fault diagnosis method based on hierarchical transition fuzzy Petri nets is proposed, where temporal information of alerting signals is used. The first objective of this method is to build fault diagnosis model of hierarchy weighted fuzzy Petri net (WFPN). Secondly, the related time association character (TAC) is set up. And then the consistency check is carried out among fault components, protection operations and related breakers tripping. Finally, this method can make a fault diagnosis through fuzzy inference, and judge the abnormal behaviors from the protection and breaker. Case study has verified the proposed method can improve the accuracy and fault tolerance.
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Received: 21 October 2016
Published: 01 August 2017
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23 （编辑 张玉荣） |
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2017, Vol. 32 
