B. Jurišić, T. Zupan, Marin Schönberger, Ljupko Teklic, Goran Levačić
{"title":"Advantages of Using Diagnostic and Monitoring Data for Intelligent Condition Monitoring of Power Network Equipment","authors":"B. Jurišić, T. Zupan, Marin Schönberger, Ljupko Teklic, Goran Levačić","doi":"10.1109/SMAGRIMET58412.2023.10128655","DOIUrl":null,"url":null,"abstract":"Every transmission system operator needs to be able to provide its services reliably and cost-effectively. In order to determine the state of the vital electrical equipment in service, two main approaches are nowadays being used: periodic data provided through a set of defined diagnostic measurements and online data that originates from modern monitoring systems. Modern guidelines suggest combining these two datasets in order to have a more economic and technically more detailed insight into the behavior of equipment, as well as providing a number of additional benefits, such as increasing the reliability of the power supply, detailed planning and efficient upgrade of the power network. This paper presents guidelines on how to implement such a solution and shows the advantages of using this type of intelligent condition monitoring for transmission system operators' fleet asset management.","PeriodicalId":286515,"journal":{"name":"2023 4th International Conference on Smart Grid Metrology (SMAGRIMET)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Conference on Smart Grid Metrology (SMAGRIMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMAGRIMET58412.2023.10128655","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
Every transmission system operator needs to be able to provide its services reliably and cost-effectively. In order to determine the state of the vital electrical equipment in service, two main approaches are nowadays being used: periodic data provided through a set of defined diagnostic measurements and online data that originates from modern monitoring systems. Modern guidelines suggest combining these two datasets in order to have a more economic and technically more detailed insight into the behavior of equipment, as well as providing a number of additional benefits, such as increasing the reliability of the power supply, detailed planning and efficient upgrade of the power network. This paper presents guidelines on how to implement such a solution and shows the advantages of using this type of intelligent condition monitoring for transmission system operators' fleet asset management.