G. B. Costa, A. Z. Bertoletti, A. Morais, G. C. Junior
{"title":"Curve Fitting Analysis of Expulsion Fuse Links through the Cross-Validation Technique","authors":"G. B. Costa, A. Z. Bertoletti, A. Morais, G. C. Junior","doi":"10.1109/TDC-LA.2018.8511744","DOIUrl":null,"url":null,"abstract":"The most common protective device in distribution systems is the expulsion fuse link. This work aims to assist the engineer in carrying out expulsion fuse links modeling using curve fitting. The proposed approach used the fuse time-current characteristic to obtain the polynomial function that represent the fuse link model. Preferred K and H fuses were used. The polynomial coefficients was obtained through the MATLAB software. The polynomial order that best represents the fuse link was decided using the cross-validation technique. The technique consists of iteratively partitioning the data set, separating test points and training points on each iteration.","PeriodicalId":267301,"journal":{"name":"2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","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.2018.8511744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The most common protective device in distribution systems is the expulsion fuse link. This work aims to assist the engineer in carrying out expulsion fuse links modeling using curve fitting. The proposed approach used the fuse time-current characteristic to obtain the polynomial function that represent the fuse link model. Preferred K and H fuses were used. The polynomial coefficients was obtained through the MATLAB software. The polynomial order that best represents the fuse link was decided using the cross-validation technique. The technique consists of iteratively partitioning the data set, separating test points and training points on each iteration.