An adaptive fault diagnosis model based on topological information fusion

被引:0
作者
Xu, Biao [1 ]
Yin, Xianggen [1 ]
Li, Xushen [1 ]
Yin, Xin [2 ]
机构
[1] HUST, Sch Elect & Elect Engn, Wuhan, Hubei, Peoples R China
[2] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs, England
来源
2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM) | 2018年
基金
国家高技术研究发展计划(863计划);
关键词
fault section estimation; incident matrix; topology transformation; information fusion;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
At present, most power system fault diagnosis methods are modeled for single element and have poor adaptability to network changing. In this paper, an adaptive fault diagnosis model that considers the network topology is proposed. Firstly, the topological information fusion model is established based on the power system topology description, which uses the incident matrix to represent the mapping relationship between elements and protective devices. Then, the topology transformation rules are established to deal with the cross-range characteristics of secondary backup protection, and based on which the whole reasoning process is given. Finally, the case studies of the IEEE 14-bus system demonstrate the efficiency and adaptability of the proposed method.
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页数:5
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