{"title":"A Partial Discharge Localization Method for AC XLPE Cable Based on Improved GCC Algorithm","authors":"Maosen Guo;Jiajie Xu;Yi Zhang;Xiaolong Xiao;Zhencheng Yang;Zaijun Wu","doi":"10.1109/OAJPE.2023.3318514","DOIUrl":null,"url":null,"abstract":"Due to the influence of electromagnetic noise and other factors, existing cable partial discharge location methods cannot accurately locate discharge faults. To handle it, this paper proposes an online localization method for cable partial discharge signals that is suitable for practical engineering applications, based on the double-end localization method. The proposed method uses an improved generalized correlation algorithm to estimate the signal time delay, and takes into account the wave speed uncertainty of the local discharge signal. To improve local localizing accuracy under multiple localizing samples, a trimmed-mean data filtering speed algorithm is employed. Simulation and experimental results demonstrate that the proposed method effectively enhances time delay estimation accuracy and reduces localization error, even under complex electromagnetic noise environment and restricted sampling rates of detection equipment, when compared to traditional time delay estimation localization methods. The positioning accuracy of partial discharge in field experiments reached 97.43%-99.89%, which meets actual engineering requirements.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10261236","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Access Journal of Power and Energy","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10261236/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Due to the influence of electromagnetic noise and other factors, existing cable partial discharge location methods cannot accurately locate discharge faults. To handle it, this paper proposes an online localization method for cable partial discharge signals that is suitable for practical engineering applications, based on the double-end localization method. The proposed method uses an improved generalized correlation algorithm to estimate the signal time delay, and takes into account the wave speed uncertainty of the local discharge signal. To improve local localizing accuracy under multiple localizing samples, a trimmed-mean data filtering speed algorithm is employed. Simulation and experimental results demonstrate that the proposed method effectively enhances time delay estimation accuracy and reduces localization error, even under complex electromagnetic noise environment and restricted sampling rates of detection equipment, when compared to traditional time delay estimation localization methods. The positioning accuracy of partial discharge in field experiments reached 97.43%-99.89%, which meets actual engineering requirements.