{"title":"Power Grid Classification through Electrical Network Frequency and its Multiple Frequency Components","authors":"Md. Arif Uz Zaman, Shoilie Chakma","doi":"10.1109/TENSYMP50017.2020.9230767","DOIUrl":null,"url":null,"abstract":"Monitoring and optimizing the power grids are one of the most important tasks in electrical engineering. In this paper we would present an approach to detect power grid locations using Electrical Network Frequency and multiple frequency components associated with it. It is based on frequency domain method. We have used some different approach to detect the grids. We have build the system using machine learning simulation on Matlab. Performance evaluation in terms of number of correct detection and false alarms reveals the effect of system performance.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"313 1","pages":"513-516"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Region 10 Symposium (TENSYMP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENSYMP50017.2020.9230767","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
Monitoring and optimizing the power grids are one of the most important tasks in electrical engineering. In this paper we would present an approach to detect power grid locations using Electrical Network Frequency and multiple frequency components associated with it. It is based on frequency domain method. We have used some different approach to detect the grids. We have build the system using machine learning simulation on Matlab. Performance evaluation in terms of number of correct detection and false alarms reveals the effect of system performance.