{"title":"A Replicator Dynamics method for the Unit Commitment problem","authors":"Sohail Khan, H. Bosetti, P. Palensky, W. Gawlik","doi":"10.1109/MSCPES.2014.6842402","DOIUrl":null,"url":null,"abstract":"A short-term Unit Commitment problem in power systems requires methods that are simple, stable and reconfigurable. A Replicator Dynamics based algorithm can be a good candidate in this regard. In this paper, this method is extended to model the unit specific constraints on the fitness function directly and precisely such that the method retains the optimality of the solution. Furthermore, the results are validated by comparison with Newtons Approach for optimal dispatch. The simulation results verify the methodology and implicate the possibility of extending it to complex and coupled constraints.","PeriodicalId":202643,"journal":{"name":"2014 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSCPES.2014.6842402","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
A short-term Unit Commitment problem in power systems requires methods that are simple, stable and reconfigurable. A Replicator Dynamics based algorithm can be a good candidate in this regard. In this paper, this method is extended to model the unit specific constraints on the fitness function directly and precisely such that the method retains the optimality of the solution. Furthermore, the results are validated by comparison with Newtons Approach for optimal dispatch. The simulation results verify the methodology and implicate the possibility of extending it to complex and coupled constraints.