{"title":"智能电网的动态电缆等级","authors":"R. Huang, J. Pilgrim, P. Lewin, D. Payne","doi":"10.1109/ISGTEurope.2013.6695230","DOIUrl":null,"url":null,"abstract":"This paper discusses the shortage of static current ratings in the increasingly stressed, yet intelligent, power grid. Using online monitoring systems, real-time data can be obtained to perform a more accurate and reliable Dynamic Rating. A comparison of base thermal models is presented, demonstrating that the widely used IEC60853 approach is not always the most accurate. Load current prediction algorithms based on support vector regression are examined, along with the requirements for ambient temperature data. Through considering data from operational transmission cable circuits, the value of taking a network level approach is demonstrated.","PeriodicalId":307118,"journal":{"name":"IEEE PES ISGT Europe 2013","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Dynamic cable ratings for smarter grids\",\"authors\":\"R. Huang, J. Pilgrim, P. Lewin, D. Payne\",\"doi\":\"10.1109/ISGTEurope.2013.6695230\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses the shortage of static current ratings in the increasingly stressed, yet intelligent, power grid. Using online monitoring systems, real-time data can be obtained to perform a more accurate and reliable Dynamic Rating. A comparison of base thermal models is presented, demonstrating that the widely used IEC60853 approach is not always the most accurate. Load current prediction algorithms based on support vector regression are examined, along with the requirements for ambient temperature data. Through considering data from operational transmission cable circuits, the value of taking a network level approach is demonstrated.\",\"PeriodicalId\":307118,\"journal\":{\"name\":\"IEEE PES ISGT Europe 2013\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE PES ISGT Europe 2013\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISGTEurope.2013.6695230\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE PES ISGT Europe 2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGTEurope.2013.6695230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper discusses the shortage of static current ratings in the increasingly stressed, yet intelligent, power grid. Using online monitoring systems, real-time data can be obtained to perform a more accurate and reliable Dynamic Rating. A comparison of base thermal models is presented, demonstrating that the widely used IEC60853 approach is not always the most accurate. Load current prediction algorithms based on support vector regression are examined, along with the requirements for ambient temperature data. Through considering data from operational transmission cable circuits, the value of taking a network level approach is demonstrated.
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