P. Lopatka, S. Salvini, N. Nusrat, L. De-Alvaro, D. Wallom
{"title":"Performance study of distributed state estimation algorithms on the HiPerDNO HPC platform","authors":"P. Lopatka, S. Salvini, N. Nusrat, L. De-Alvaro, D. Wallom","doi":"10.1109/UPEC.2012.6398567","DOIUrl":null,"url":null,"abstract":"This paper presents two distribution state estimation algorithms developed in the HiPerDNO project. The algorithms decompose the network into zones, for efficient parallel computation. We report on the algorithms, their implementation on a parallel system and their test and benchmark results.","PeriodicalId":326950,"journal":{"name":"2012 47th International Universities Power Engineering Conference (UPEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 47th International Universities Power Engineering Conference (UPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UPEC.2012.6398567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper presents two distribution state estimation algorithms developed in the HiPerDNO project. The algorithms decompose the network into zones, for efficient parallel computation. We report on the algorithms, their implementation on a parallel system and their test and benchmark results.