基于拓扑图元信息融合的电网故障诊断模型

doi:10.19595/j.cnki.1000-6753.tces.161588

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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 words： Fault diagnosis network topology incident matrix mapping transformation information fusion

Received: 30 September 2016 Published: 26 February 2018

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TM77

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	Articles by authors
	Xu Biao
	Yin Xianggen
	ZhangZhe
	Chen Guoyan
	Yang Wen

Cite this article:

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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