A. McMorran, E. Stewart, C. Shand, S. Rudd, G. Taylor
{"title":"Addressing the challenge of data interoperability for off-line analysis of distribution networks in the Smart Grid","authors":"A. McMorran, E. Stewart, C. Shand, S. Rudd, G. Taylor","doi":"10.1109/TDC.2012.6281555","DOIUrl":null,"url":null,"abstract":"As utilities move towards a more intelligent, autonomous distribution network with increased penetration of distributed generation there is a requirement for utilities and consultancies to analyze how these changes will affect network operation and performance under varying conditions. This requires a large amount of data and results to be moved on a frequent communications basis between applications from a number of different vendors, all of whom use their own proprietary data formats. This paper will discuss how these challenges are impacting off-line analysis of complex networks and how open standards can enable companies to efficiently share and exchange network models between incompatible applications.","PeriodicalId":19873,"journal":{"name":"PES T&D 2012","volume":"12 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PES T&D 2012","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDC.2012.6281555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
As utilities move towards a more intelligent, autonomous distribution network with increased penetration of distributed generation there is a requirement for utilities and consultancies to analyze how these changes will affect network operation and performance under varying conditions. This requires a large amount of data and results to be moved on a frequent communications basis between applications from a number of different vendors, all of whom use their own proprietary data formats. This paper will discuss how these challenges are impacting off-line analysis of complex networks and how open standards can enable companies to efficiently share and exchange network models between incompatible applications.