Multiple Impact Factor Based Accuracy Analysis for Power Quality Disturbance Detection  

作　　者：Zijing Yang Haochen Hua Junwei Cao 

机构地区：[1]Electromechanical Engineering,Beijing Institute of Graphic Communication,Beijing 102600,China [2]College of Energy and Electrical Engineering,Hohai University 211100,China [3]Beijing National Research Center for Information Science and Technology,Tsinghua University,Beijing 100084,China

出　　处：《CSEE Journal of Power and Energy Systems》2023年第1期88-99,共12页中国电机工程学会电力与能源系统学报（英文）

基　　金：This study is supported by the National Natural Science Foundation of China(Grant No.61501040);Beijing Key Laboratory of Digital Printing Equipment,Fundamental Research Funds for the Central Universities of China(Grant No.B200201071);National Key Research and Development Program of China(Grant No.2017YFE0132100);BNRist Program(Grant No.BNR2020TD01009).

摘　　要：Nowadays,power quality problems are affecting people’s daily life and production activities.With an aim to improve disturbance detection accuracy,a novel analysis approach,based on multiple impact factors,is proposed in this paper.First,a multiple impact factors analysis is implemented in which two perspectives,i.e.,the wavelet analysis and disturbance features are simultaneously considered.Five key factors,including wavelet function,wavelet decomposition level,redundant algorithm,event type and disturbance intensity,and start and end moment of disturbance,have been considered.Next,an impact factor based accuracy analysis algorithm is proposed,through which each factor’s potential impact on disturbance location accuracy is investigated.Three transforms,i.e.,the classic wavelet,lifting wavelet and redundant lifting wavelet are employed,and their superiority on disturbance location accuracy is investigated.Finally,simulations are conducted for verification.Through the proposed method,the wavelet based parameters can be validly selected in order to accurately detect power quality disturbance.

关 键 词：Disturbance location accuracy impact factors power quality wavelet analysis 

分 类 号：TN9[电子电信—信息与通信工程]