电网故障诊断的分阶段解析模型

doi:10.19595/j.cnki.1000-6753.tces.171290

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Abstract The existing analytical models had to extern the variable dimension to consider the false alarms, thus they were difficult or time-consuming to be solved. To deal with this problem, a staged analytical model for power system fault diagnosis is proposed in this paper. In the first stage, the elements’ influence on the objective function was analyzed, and the fault measurement index, which considers both the protection relation and the circuit breaker relation, was then established to filter the suspect elements. In the second stage, the actual states of the protection and the circuit breaker were introduced into the fault hypothesis, and an improved objective function was constructed combining both the logic errors and information errors. The discrete particle swarm optimization was used to solve the above optimization problem, and according to the best solution, the fault elements as well as the actual states of the relays and circuit breakers can be obtained. Finally, the effectiveness and fault-tolerance of the proposed method were verified by many complex fault scenarios of the IEEE 39-bus system, which shows that this method has good prospect, since it can estimate the fault elements and evaluate abnormal alarms quickly and accurately, even with many false alarms.

Key words： Power system fault diagnosis fault information measurement analytic model discrete particle swarm optimization

Received: 11 September 2017 Published: 14 September 2018

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TM77

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	Xu Biao
	Yin Xianggen
	Zhang Zhe
	Pang Shuai
	Li Xusheng

Cite this article:

Xu Biao,Yin Xianggen,Zhang Zhe等. A Staged Analytical Model for Power System Fault Diagnosis[J]. Transactions of China Electrotechnical Society, 2018, 33(17): 4113-4122.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.171290 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I17/4113

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