Xiaokang Wang, Bo Niu, B. Hu, Haichuan Jin, Zhiyong Wu, Dongfang Wang
{"title":"Research on Partial Discharge Source Positioning in Switchgear Based on PSO","authors":"Xiaokang Wang, Bo Niu, B. Hu, Haichuan Jin, Zhiyong Wu, Dongfang Wang","doi":"10.1109/ICEMPE51623.2021.9509089","DOIUrl":null,"url":null,"abstract":"To achieve the high precision location of partial discharge defects found during the live detection, the electroacoustic location modelling is performed on the air-insulation switchgear in this paper based on the time difference of arrival algorithm by exploiting the homology of photoelectric signals generated in the PD process. Furthermore, the PD location accuracy of electrical equipment on the TDOA delay is reduced through the particle swarm optimization of location results. With the combination of ultrasonic associated with electromagnetic wave type and particle swarm optimization of localization results, the influence of background interference on localization accuracy can be further reduced, which has higher detection flexibility and localization accuracy. The technique can be applied to localization of partial discharge defects in air-insulation during live detection.","PeriodicalId":7083,"journal":{"name":"2021 International Conference on Electrical Materials and Power Equipment (ICEMPE)","volume":"16 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Electrical Materials and Power Equipment (ICEMPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMPE51623.2021.9509089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
To achieve the high precision location of partial discharge defects found during the live detection, the electroacoustic location modelling is performed on the air-insulation switchgear in this paper based on the time difference of arrival algorithm by exploiting the homology of photoelectric signals generated in the PD process. Furthermore, the PD location accuracy of electrical equipment on the TDOA delay is reduced through the particle swarm optimization of location results. With the combination of ultrasonic associated with electromagnetic wave type and particle swarm optimization of localization results, the influence of background interference on localization accuracy can be further reduced, which has higher detection flexibility and localization accuracy. The technique can be applied to localization of partial discharge defects in air-insulation during live detection.