Detection and classification of multiple power signal patterns with Volterra series and interval type-2 fuzzy logic system  

作　　者：Rahul Rajiv Kapoor M.M.Tripathi 

机构地区：[1]Department of Electronics&communication Engineering,Delhi Technological University,Delhi,India [2]Department of Electrical Engineering,Delhi Technological University,Delhi,India.

出　　处：《Protection and Control of Modern Power Systems》2017年第1期92-101,共10页现代电力系统保护与控制（英文）

摘　　要：The paper deals with the application of Volterra bound Interval type−2 fuzzy logic techniques in power quality assessment.This work proposes a new layout for detection,localization and classification of various types of power quality events.The proposed method exploits Volterra series for the extraction of relevant features,which are used to recognize different PQ events by Interval type-2 fuzzy logic based classifier.Numerous single as well as multiple powers signal disturbances have been simulated to testify the efficiency of the proposed technique.This time–frequency analysis results in the clear visual detection,localization,and classification of the different power quality events.The simulation results signify that the proposed scheme has a higher recognition rate while classifying single and multiple power quality events unlike other methods.Finally,the proposed method is compared with SVM,feed forward neural network and type−1 Fuzzy logic system based classifier to show the efficacy of the proposed technique in classifying the Power quality events.

关 键 词：Non-stationary power signals Power quality(PQ) Volterra series Interval type-2 fuzzy logic system(IT2FLS) Power Spectral Entropy(PSE) Standard Deviation(SD) 

分 类 号：O17[理学—数学]