Shutang You, Jiecheng Zhao, Wenxuan Yao, Yong Liu, Yi Cui, Ling Wu, Jiahui Guo, Yilu Liu
{"title":"FNET/GridEye for Future High Renewable Power Grids — Applications Overview","authors":"Shutang You, Jiecheng Zhao, Wenxuan Yao, Yong Liu, Yi Cui, Ling Wu, Jiahui Guo, Yilu Liu","doi":"10.1109/TDC-LA.2018.8511657","DOIUrl":null,"url":null,"abstract":"Integration of renewable generation sets high requirements for real-time situational awareness of power systems. FNET/GridEye, a synchrophasor measurement network for wide-area power system monitoring has been assisting realtime situational awareness and helping improve reliability in many power grids for 14 years. To aid operators confronting challenges from growing renewables, FNET/GridEye continues increasing its measurement accuracy and enhancing its functionalities. This paper provides an overview on the mostrecent FNET/GridEye application improvements that help power grid operation with high renewable penetration. The real-time applications presented in this paper include event location, oscillation monitoring, inertia estimation, and islanding detection.","PeriodicalId":267301,"journal":{"name":"2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDC-LA.2018.8511657","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 28
Abstract
Integration of renewable generation sets high requirements for real-time situational awareness of power systems. FNET/GridEye, a synchrophasor measurement network for wide-area power system monitoring has been assisting realtime situational awareness and helping improve reliability in many power grids for 14 years. To aid operators confronting challenges from growing renewables, FNET/GridEye continues increasing its measurement accuracy and enhancing its functionalities. This paper provides an overview on the mostrecent FNET/GridEye application improvements that help power grid operation with high renewable penetration. The real-time applications presented in this paper include event location, oscillation monitoring, inertia estimation, and islanding detection.