{"title":"An Investigation into the Effectiveness of the Very Fast Simulated Annealing Method for Optimal Generating Units Maintenance by EENS Criteria","authors":"Pavel Gubin, V. Oboskalov","doi":"10.1109/UralCon49858.2020.9216240","DOIUrl":null,"url":null,"abstract":"Today there is certain disagreement over which method is the most appropriate one to solve generating equipment maintenance problem. Simultaneously, increasing attention in the field is being paid to heuristic methods, one of which, in particular a very fast simulated annealing method, seems to be perspective tool for this task. The research demonstrates opportunity to apply very fast simulated annealing method to generating equipment maintenance planning problem basing on comparison between the method and directed search ones as well as analysis results of dependence of planning results on the annealing method parameters.","PeriodicalId":230353,"journal":{"name":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UralCon49858.2020.9216240","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
Today there is certain disagreement over which method is the most appropriate one to solve generating equipment maintenance problem. Simultaneously, increasing attention in the field is being paid to heuristic methods, one of which, in particular a very fast simulated annealing method, seems to be perspective tool for this task. The research demonstrates opportunity to apply very fast simulated annealing method to generating equipment maintenance planning problem basing on comparison between the method and directed search ones as well as analysis results of dependence of planning results on the annealing method parameters.