{"title":"Automated Power System Planning","authors":"G. Lebby","doi":"10.1109/SSST.1992.712312","DOIUrl":null,"url":null,"abstract":"As electric utilities grow in size and complexity, planning for future expansion and system security has become increasingly complicated. The cost of making corrective changes in the power system has made it necessary for utilities to consider long-range design options and to perform detailed computer studies when considering network modifications (especially when the modifications will have a large impact upon system performance and overall operation.) To assist engineers in system planning, an Automated Power System Planning (ASP) tool that uses machine intelligence concepts is presented. In response to system planning scenarios imposed by a system planner, the ASP will propose corrective planning options, based upon expert knowledge in the power system planning field, known physical constraints, and historical system information.","PeriodicalId":359363,"journal":{"name":"The 24th Southeastern Symposium on and The 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design System Theory","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 24th Southeastern Symposium on and The 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design System Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.1992.712312","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
As electric utilities grow in size and complexity, planning for future expansion and system security has become increasingly complicated. The cost of making corrective changes in the power system has made it necessary for utilities to consider long-range design options and to perform detailed computer studies when considering network modifications (especially when the modifications will have a large impact upon system performance and overall operation.) To assist engineers in system planning, an Automated Power System Planning (ASP) tool that uses machine intelligence concepts is presented. In response to system planning scenarios imposed by a system planner, the ASP will propose corrective planning options, based upon expert knowledge in the power system planning field, known physical constraints, and historical system information.