基于分层变迁的WFPN电网故障分析

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Abstract In order to improve the flexibility of models and solve the deficiencies in the process of reasoning algorithm that would influence the diagnosis accuracy,a power grid fault diagnosis approach based on the improved weighted fuzzy Petri net (WFPN) is researched.At first,the suspicious components are determined according to the fault information;and the two layer universal model of every component is built.After that,the classification of the layered transition set is proposed and the reasoning algorithm is improved to make the calculation process be in accord with the trigger timing sequence of transition.Meanwhile,the execution times of the iterative algorithm are determined by the number of layered transition.Finally,the specific reasoning process of fault diagnosis is given;and the algorithm performance and model adaptability is analyzed.The example analysis and the comparison of diagnostic results of different models show the reasonability and validity of the above mentioned method,which can quickly realize fault diagnosis.

Key words： Hierarchical transition fuzzy Petri net reasoning algorithm power grid fault diagnosis

Received: 22 May 2015 Published: 24 August 2016

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	Chen Qiang
	Cheng Xuezhen
	Liu Jianhang
	Wang Cheng
	Bai Xingzhen

Cite this article:

Chen Qiang,Cheng Xuezhen,Liu Jianhang等. The Analysis Method of Power Grid Fault Based on Hierarchical Transition Weighted Fuzzy Petri Net[J]. Transactions of China Electrotechnical Society, 2016, 31(15): 125-135.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I15/125

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