{"title":"经济-排放联合调度问题的混合元启发式算法","authors":"Y. A. Gherbi, Hamid Bouzeboudja, F. Lakdja","doi":"10.1109/ISPS.2015.7244987","DOIUrl":null,"url":null,"abstract":"The combined economic-emission dispatch procedure in electric power systems treat economic and emission impact as competing objectives, which requires some form of conflict resolution to achieve a solution, that's why we need efficient optimization algorithms. Firefly algorithm and bat algorithm are the most recent methods and they already proved there efficient in several fields of research. In this paper, we will evaluate the performance of these methods by applying them to a standard electric network of 5 buses with 3 buses generator, and then we will propose a third approach that results from the hybridization of these two metaheuristics.","PeriodicalId":165465,"journal":{"name":"2015 12th International Symposium on Programming and Systems (ISPS)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Hybrid metaheuristic for the combined economic-emission dispatch problem\",\"authors\":\"Y. A. Gherbi, Hamid Bouzeboudja, F. Lakdja\",\"doi\":\"10.1109/ISPS.2015.7244987\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The combined economic-emission dispatch procedure in electric power systems treat economic and emission impact as competing objectives, which requires some form of conflict resolution to achieve a solution, that's why we need efficient optimization algorithms. Firefly algorithm and bat algorithm are the most recent methods and they already proved there efficient in several fields of research. In this paper, we will evaluate the performance of these methods by applying them to a standard electric network of 5 buses with 3 buses generator, and then we will propose a third approach that results from the hybridization of these two metaheuristics.\",\"PeriodicalId\":165465,\"journal\":{\"name\":\"2015 12th International Symposium on Programming and Systems (ISPS)\",\"volume\":\"129 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 12th International Symposium on Programming and Systems (ISPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPS.2015.7244987\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 12th International Symposium on Programming and Systems (ISPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPS.2015.7244987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hybrid metaheuristic for the combined economic-emission dispatch problem
The combined economic-emission dispatch procedure in electric power systems treat economic and emission impact as competing objectives, which requires some form of conflict resolution to achieve a solution, that's why we need efficient optimization algorithms. Firefly algorithm and bat algorithm are the most recent methods and they already proved there efficient in several fields of research. In this paper, we will evaluate the performance of these methods by applying them to a standard electric network of 5 buses with 3 buses generator, and then we will propose a third approach that results from the hybridization of these two metaheuristics.