Su Sheng, K. Li, Zeng Xiangjun, L. Xinran, Chen Feng
{"title":"Grid computing for load modeling","authors":"Su Sheng, K. Li, Zeng Xiangjun, L. Xinran, Chen Feng","doi":"10.1109/DRPT.2004.1338053","DOIUrl":null,"url":null,"abstract":"Computing grid are an approach for building dynamically constructed collaborative problem solving environment using geographically and organizationally dispersed high performance computing and data handling resources. It provides a novel computation mode for power system simulation and modeling. This paper put out a grid computing infrastructure for load modeling, thus to provide the computation capacity needed in measurement based load modeling with disturbed data logged by WAMS (wide area measurement system). The infrastructure is practical and is of good scalability, highly automation, and huge computation capacity.","PeriodicalId":427228,"journal":{"name":"2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DRPT.2004.1338053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Computing grid are an approach for building dynamically constructed collaborative problem solving environment using geographically and organizationally dispersed high performance computing and data handling resources. It provides a novel computation mode for power system simulation and modeling. This paper put out a grid computing infrastructure for load modeling, thus to provide the computation capacity needed in measurement based load modeling with disturbed data logged by WAMS (wide area measurement system). The infrastructure is practical and is of good scalability, highly automation, and huge computation capacity.