Recognition of Power Quality Disturbances Based on T-S Fuzzy Logic

摘要：

　　One of the problems of current fuzzy recognition for power quality (PQ) disturbances is that the conclusion part of fuzzy rules is commonly fuzzy variable needing defuzzification,and the parameters of membership function are always determined by trial-and-error method.To solve this problem,this paper presents a new recognition method of power quality disturbances based on T-S fuzzy logic.On the basis of features extracted from disturbances by generalized S-transform (ST).The T-S fuzzy inference mechanism is proposed in this paper,of which equalized universe method is used to determine the membership function parameters and universe division.The Recognition results of simulation and experimental data show the effectiveness of the proposed method.

关键词： Power quality T-S Fuzzy Logic Equalized Universe Method Feature Selection

作者: Liu Xiaosheng Liu Bo

作者单位: Department of Electrical Engineering Harbin Institute of Technology Harbin, China

会议类型: 国际会议

会议名称: 2015 Fifth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2015)(第五届仪器测量、计算机通信与控制国际会议)

会议地点: 秦皇岛

会议语种:英文

页码: 302-305

在线出版日期: 2015-09-18（万方平台首次上网日期，不代表论文的发表时间）