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Reliability Analysis of Relay Protection Based on the Fuzzy-Markov Model
Ganggang Hao,Huanxin Guan,Dongxue Qiu,Wei Du 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.10
Relay protection and safety device are regarded as the sentry of safe and reliable operation of the power grid. It plays a very important role in the power grid, and can determine whether the normal operation of the power system. This article considers the influence of the fuzzy uncertainty of relay protection failure rate to power system on the basis of Markov model, and researches the dynamic fault tree analysis method in the case of fuzzy failure parameter. A dynamic fault model has been built. The triangular fuzzy numbers are used to express the failure rate of the components and system, after which the fuzzy Markov model has been established based on the dynamic fault tree model obtained before. The fuzzy reliability curve and fuzzy failure probability on given degree of membership could be obtained. Finally, the fuzzy Markov model based dynamic fault tree analysis method is used for reliability modeling and analysis of relay protection. The results show that this method can conduct reliability modeling and quantitative assessment effectively for systems which have dynamic failure characteristics and uncertainty of failure rate.
Fault Diagnosis of the Smart Grid with Distributed Generation Based on Limited Data Drive
Huanxin Guan,Ganggang Hao,Yan Zhao 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3
Due to the complexity of the smart grid and the uncertainty of the distributed generation, there is a lot of uncertain information in smart grid. The theory of rough intuitionist fuzzy set is proposed in this article to deal with the fault diagnosis in the case of uncertain information. Fault position and the fault device can be judged based on current, voltage and the action of protection device and circuit breakers under failure state, including error and incomplete fault signal caused by malfunction, bit error in signal propagation. Diagnosis rules can be extracted from the set of fault samples. Diagnosis rules obtained by this method can be used to establish the fault diagnosis knowledge base, thus provides a feasible method for the fault diagnosis of smart grid.