Fang Hualiang, Mao Chengxiong, Zhang Bu-han, L. Jiming
{"title":"The Grid Computing Model for OPF","authors":"Fang Hualiang, Mao Chengxiong, Zhang Bu-han, L. Jiming","doi":"10.1109/UPEC.2006.367775","DOIUrl":null,"url":null,"abstract":"A new solution called seamless computing model based on grid platform is presented in this paper, to satisfy the requirements of OPF computation. This proposed computing model is applied to optimal power flow (OPF). Based on boundary current-ejecting method, the electric network is partitioned, and nonlinear flow equations are converted into linear equations. Then two different OPF tasks are designed and run on the grid platform. By dispatching properly, the computing gap may be deceased, and computing efficiency enhances. To value the performance of this computing model, the total speedup (TO) and total efficiency (TE) are put forward. Different experiments are done on different size \"Lab-Grid.\" The result has shown that seamless computing model may acquire higher TS and TE.","PeriodicalId":184186,"journal":{"name":"Proceedings of the 41st International Universities Power Engineering Conference","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 41st International Universities Power Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UPEC.2006.367775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A new solution called seamless computing model based on grid platform is presented in this paper, to satisfy the requirements of OPF computation. This proposed computing model is applied to optimal power flow (OPF). Based on boundary current-ejecting method, the electric network is partitioned, and nonlinear flow equations are converted into linear equations. Then two different OPF tasks are designed and run on the grid platform. By dispatching properly, the computing gap may be deceased, and computing efficiency enhances. To value the performance of this computing model, the total speedup (TO) and total efficiency (TE) are put forward. Different experiments are done on different size "Lab-Grid." The result has shown that seamless computing model may acquire higher TS and TE.