{"title":"Energy Internet Based Distribution Transformer Loss-of-Life Evaluation","authors":"C. Su, Yu-Chi Pu, Hai-Ming Ching, Jheng-He Kuo","doi":"10.1109/ICSGCE.2018.8556723","DOIUrl":null,"url":null,"abstract":"Distribution transformer monitoring has been essential and important for smart grids. In a new generation of energy provision paradigm, i.e., Energy Internet (EI), the Web service technology is integrated into the field of smart metering for advanced meter infrastructure (AMI) devices. Distribution transformer loading obtained from the AMI data by using an accurate low voltage operation model can be used to develop the dynamic thermal model of distribution transformers based on IEEE C57.91 standards and weather information from the Web. The dynamic thermal models are then used to estimate the top oil temperature and hottest temperature and equivalent aging factor for the transformer. The results are used for evaluating the transformer loss-of-life (LoL) accordingly. To facilitate the analysis, a Web based friendly human machine interface (HMI) is designed. Test results of a practical single-phase 100 kVA transformer widely installed in Taiwan Power Company (Taipower) distribution system are reported.","PeriodicalId":366392,"journal":{"name":"2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGCE.2018.8556723","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
Distribution transformer monitoring has been essential and important for smart grids. In a new generation of energy provision paradigm, i.e., Energy Internet (EI), the Web service technology is integrated into the field of smart metering for advanced meter infrastructure (AMI) devices. Distribution transformer loading obtained from the AMI data by using an accurate low voltage operation model can be used to develop the dynamic thermal model of distribution transformers based on IEEE C57.91 standards and weather information from the Web. The dynamic thermal models are then used to estimate the top oil temperature and hottest temperature and equivalent aging factor for the transformer. The results are used for evaluating the transformer loss-of-life (LoL) accordingly. To facilitate the analysis, a Web based friendly human machine interface (HMI) is designed. Test results of a practical single-phase 100 kVA transformer widely installed in Taiwan Power Company (Taipower) distribution system are reported.