{"title":"An interior-point/cutting-plane method to solve unit commitment problems","authors":"M. Madrigal, V. Quintana","doi":"10.1109/PICA.1999.779404","DOIUrl":null,"url":null,"abstract":"An interior-point/cutting-plane method for nondifferentiable optimization is used to solve the dual to a unit commitment problem. The interior-point/cutting plane method has two advantages over previous approaches, such as the sub-gradient and bundle methods: first, it has better convergence characteristics; and second, does not suffer from the parameter-tunning drawback. The results of performance testing using systems with up to 104 units confirm the superiority of the interior-point/cutting-plane method over previous approaches.","PeriodicalId":113146,"journal":{"name":"Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"78","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICA.1999.779404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 78
Abstract
An interior-point/cutting-plane method for nondifferentiable optimization is used to solve the dual to a unit commitment problem. The interior-point/cutting plane method has two advantages over previous approaches, such as the sub-gradient and bundle methods: first, it has better convergence characteristics; and second, does not suffer from the parameter-tunning drawback. The results of performance testing using systems with up to 104 units confirm the superiority of the interior-point/cutting-plane method over previous approaches.
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