多数据源信息融合电网故障诊断新方法.pdfVIP

第29 卷 第31 期 中 国 电 机 工 程 学 报 Vol.29 No.31 Nov. 5, 2009 2009 年11 月5 日 Proceedings of the CSEE ©2009 Chin.Soc.for Elec.Eng. 1 0258-8013 (2009) 31-0001-07 TM 71 A 470 40 文章编号： 中图分类号： 文献标志码： 学科分类号： ⋅ 多数据源信息融合的电网故障诊断新方法 郭创新，彭明伟，刘毅 (浙江大学电气工程学院，浙江省 杭州市 310027) Novel Approach for Fault Diagnosis of the Power Grid With Information Fusion of Multi-data Resources GUO Chuang-xin, PENG Ming-wei, LIU Yi (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, Zhejiang Province, China) ABSTRACT: The fault information mainly consist of two 证据理论的多数据源信息融合故障诊断方法(information parts, the digital part and the analogue one, when the power fusion of multi-data resources in fault diagnosis based on grid is malfunctioning. The digital information reflects the improved D-S theory ，IMFD) ，首先对故障信息进行特征提 status of relays and circuit breakers by which most methods for 取，通过模糊Petri 网将开关量转化为元件的模糊故障度； fault diagnosis utilize this information. The analogue 利用小波变换分析电气量，得到元件的小波故障表征。然后 information is about the transient value and the wave of voltage 基于改进的D-S 证据理论进行信息融合，最后采用C-均值 and current. The analogue information can accurately describe 法决策故障元件。仿真计算表明，该方法将电气量和开关量 the properties of failure in the power grid. However, few 进行信息融合，得到精确的故障诊断结果，在电网故障诊断 methods for fault diagnosis use this data resource. A new fault 中有良好的应用前景。 diagnosis method, i.e. information fusion of multi-data resources 关键词：故障诊断；模糊故障度；小波故障度；小波奇异度； in fault di