Transactions of China Electrotechnical Society  2018, Vol. 33 Issue (3): 512-522    DOI: 10.19595/j.cnki.1000-6753.tces.161588
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Power Grid Fault Diagnosis Model Based on Information Fusion of Topological Graph Element
Xu Biao1, Yin Xianggen1, ZhangZhe1, Chen Guoyan2, Yang Wen1
1.State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan 430074 China 2.Guangzhou Power Supply Bureau Co. Ltd Guangzhou 510620 China

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Abstract  Fast and accurate identification of faulty element is the primary prerequisite for reducing power outages and recovering power quickly. Since most of the existing fault diagnosis methods are modeled fora single element, it is difficult to adapt to the topology change. In this paper,an adaptive fault diagnosis model based on topological graph element information fusion was proposed. The topology incident matrixes of elements, protections andcircuit breakerswere established according to topologicalanalysis, andtaken these incident matrixes as basic graph elements, the information fusion diagnosis model was constructed. Besides, the topology mapping rules for the secondary backup protection andthe complete information fusion algorithm were given basedon the protection logic and tripping relationship. Finally the case studies of the IEEE 14-bus system show that the proposed method can identify the fault element quickly and accurately,alsoit has strong fault tolerance and can adapt to the network topology changes.
Key wordsFault diagnosis      network topology      incident matrix      mapping transformation      information fusion     
Received: 30 September 2016      Published: 26 February 2018
PACS: TM77  
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Xu Biao
Yin Xianggen
ZhangZhe
Chen Guoyan
Yang Wen
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Xu Biao,Yin Xianggen,ZhangZhe等. Power Grid Fault Diagnosis Model Based on Information Fusion of Topological Graph Element[J]. Transactions of China Electrotechnical Society, 2018, 33(3): 512-522.
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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.161588     OR     https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I3/512
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