{"title":"A Novel Approach to Support Distance relay application in a TCSC compensated line","authors":"Subhashree Jayasingh, Subodh Kumar Mohanty","doi":"10.1109/SPICSCON54707.2021.9885301","DOIUrl":null,"url":null,"abstract":"Fault detection in series controlled compensated TCSC line by using decision tree algorithm is presented in this paper. The conventional technique of distance relay for ordinary transmission line is not satisfying for all cases of fault detection and classification. Detection and classification of fault in a controlled series compensated line for distance relay is a challenging task and the proposed technique is more suitable for this work. The proposed decision tree classifier provided with four cycle pre and posts three phase fault current data to test the efficiency of the algorithm. The new approach is tested on a 400 kV, 50 Hz power system network simulated in PSCAD/EMTDC platform. Four cycle pre and post fault current data are retrieved from relaying point in different cases such as variation of distance, fault resistance and different fault inception angle.","PeriodicalId":159505,"journal":{"name":"2021 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)","volume":"823 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPICSCON54707.2021.9885301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Fault detection in series controlled compensated TCSC line by using decision tree algorithm is presented in this paper. The conventional technique of distance relay for ordinary transmission line is not satisfying for all cases of fault detection and classification. Detection and classification of fault in a controlled series compensated line for distance relay is a challenging task and the proposed technique is more suitable for this work. The proposed decision tree classifier provided with four cycle pre and posts three phase fault current data to test the efficiency of the algorithm. The new approach is tested on a 400 kV, 50 Hz power system network simulated in PSCAD/EMTDC platform. Four cycle pre and post fault current data are retrieved from relaying point in different cases such as variation of distance, fault resistance and different fault inception angle.