{"title":"Power system restoration incorporating interactive graphics and optimization","authors":"J. A. Huang, F. Galiana, G. Vuong","doi":"10.1109/PICA.1991.160633","DOIUrl":null,"url":null,"abstract":"A new power system restoration planning methodology which incorporates interactive graphics and an optimization algorithm is presented. The interactive graphics provides a tool to define restoration scenarios, view the restoration process, and display the optimization and simulation results. By introducing the concept of optimal restoration scenario, the process of selecting the control variables can be formulated as a mathematical problem which can be solved by nonlinear programming. This approach removes most of the guesswork found in conventional restoration planning and provides a systematic and optimal solution in the sense of minimizing the variations from normal, and the number of control variable adjustments from stage to stage. The optimization reduces the duration of the restoration procedure and guarantees the security of all variables during the restoration process by respecting all steady-state operating constraints.<<ETX>>","PeriodicalId":287152,"journal":{"name":"[Proceedings] Conference Papers 1991 Power Industry Computer Application Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] Conference Papers 1991 Power Industry Computer Application Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICA.1991.160633","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
A new power system restoration planning methodology which incorporates interactive graphics and an optimization algorithm is presented. The interactive graphics provides a tool to define restoration scenarios, view the restoration process, and display the optimization and simulation results. By introducing the concept of optimal restoration scenario, the process of selecting the control variables can be formulated as a mathematical problem which can be solved by nonlinear programming. This approach removes most of the guesswork found in conventional restoration planning and provides a systematic and optimal solution in the sense of minimizing the variations from normal, and the number of control variable adjustments from stage to stage. The optimization reduces the duration of the restoration procedure and guarantees the security of all variables during the restoration process by respecting all steady-state operating constraints.<>