{"title":"Decaying DC offset detection on CTs measurements applying mathematical morphology","authors":"David F. Celeita, J. D. Perez, G. Ramos","doi":"10.1109/ICPS.2018.8428528","DOIUrl":null,"url":null,"abstract":"Power system protections are highly sensitive to decaying DC offset that could appear when a fault occurs. The consequences of this effect represent a challenge in the coordination of protection devices which have been widely studied. The elimination of the DC offset component of current transformers measurements is the objective of this work, including a new autonomous detector based on mathematical morphology. The idea enhances the digital signal processing to prepare the information before the protective device takes a decision. The detection and fast elimination of the decaying DC offset on current signals could improve the speed of protection, coordination, and selectivity. The paper presents the proposed algorithm and assesses the solution using ATP. The model of the CT used for this validation is also presented. Results show the potential of mathematical morphology for signal processing to delete the DC offset component.","PeriodicalId":142445,"journal":{"name":"2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPS.2018.8428528","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
Power system protections are highly sensitive to decaying DC offset that could appear when a fault occurs. The consequences of this effect represent a challenge in the coordination of protection devices which have been widely studied. The elimination of the DC offset component of current transformers measurements is the objective of this work, including a new autonomous detector based on mathematical morphology. The idea enhances the digital signal processing to prepare the information before the protective device takes a decision. The detection and fast elimination of the decaying DC offset on current signals could improve the speed of protection, coordination, and selectivity. The paper presents the proposed algorithm and assesses the solution using ATP. The model of the CT used for this validation is also presented. Results show the potential of mathematical morphology for signal processing to delete the DC offset component.