{"title":"Overhead conductor dynamic thermal rating measurement and prediction","authors":"M. Musavi, D. Chamberlain, Qi Li","doi":"10.1109/SMFG.2011.6125755","DOIUrl":null,"url":null,"abstract":"The integration of a power line sensor network (PLSN) has been proposed to monitor such a utility asset's status for maximizing existing power grid utilization with minimal risk of degradation and for extending the lifetime of said assets. Six USi Power Donut 2 (PD2) devices were used on 115kV transmission lines of a utility partner. The included sensors and wireless data communications system allow for the transmission of data pertinent to determining the ampacity of assets. Combined with techniques laid out in the IEEE 738 Standard, accurate temperature and ampacity predictions can be made, allowing operators to make informed decisions on line utilization.","PeriodicalId":161289,"journal":{"name":"2011 IEEE International Conference on Smart Measurements of Future Grids (SMFG) Proceedings","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Smart Measurements of Future Grids (SMFG) Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMFG.2011.6125755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
The integration of a power line sensor network (PLSN) has been proposed to monitor such a utility asset's status for maximizing existing power grid utilization with minimal risk of degradation and for extending the lifetime of said assets. Six USi Power Donut 2 (PD2) devices were used on 115kV transmission lines of a utility partner. The included sensors and wireless data communications system allow for the transmission of data pertinent to determining the ampacity of assets. Combined with techniques laid out in the IEEE 738 Standard, accurate temperature and ampacity predictions can be made, allowing operators to make informed decisions on line utilization.