{"title":"基于萤火虫算法的分布式发电最优规模与布局的能量损失最小化方法","authors":"Ketfi Nadhir, Djabali Chabane, B. Tarek","doi":"10.1109/ICMSAO.2013.6552580","DOIUrl":null,"url":null,"abstract":"This paper propose a Firefly algorithm (FA) for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total real power losses and to improve the voltage profile. FA is a metaheuristic algorithm which is inspired by the flashing behavior of fireflies. The primary purpose of firefly's flash is to act as a signal system to attract other fireflies. Metaheuristic algorithms are widely recognized as one of the most practical approaches for hard optimization problems. The most attractive feature of a metaheuristic is that its application requires no special knowledge on the optimization problem. In this paper, IEEE 33-bus distribution test system is used to show the effectiveness of the FA. Comparison with Shuffled Frog Leaping Algorithm (SFLA) is also given.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Firefly algorithm based energy loss minimization approach for optimal sizing & placement of distributed generation\",\"authors\":\"Ketfi Nadhir, Djabali Chabane, B. Tarek\",\"doi\":\"10.1109/ICMSAO.2013.6552580\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper propose a Firefly algorithm (FA) for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total real power losses and to improve the voltage profile. FA is a metaheuristic algorithm which is inspired by the flashing behavior of fireflies. The primary purpose of firefly's flash is to act as a signal system to attract other fireflies. Metaheuristic algorithms are widely recognized as one of the most practical approaches for hard optimization problems. The most attractive feature of a metaheuristic is that its application requires no special knowledge on the optimization problem. In this paper, IEEE 33-bus distribution test system is used to show the effectiveness of the FA. Comparison with Shuffled Frog Leaping Algorithm (SFLA) is also given.\",\"PeriodicalId\":339666,\"journal\":{\"name\":\"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMSAO.2013.6552580\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSAO.2013.6552580","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Firefly algorithm based energy loss minimization approach for optimal sizing & placement of distributed generation
This paper propose a Firefly algorithm (FA) for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total real power losses and to improve the voltage profile. FA is a metaheuristic algorithm which is inspired by the flashing behavior of fireflies. The primary purpose of firefly's flash is to act as a signal system to attract other fireflies. Metaheuristic algorithms are widely recognized as one of the most practical approaches for hard optimization problems. The most attractive feature of a metaheuristic is that its application requires no special knowledge on the optimization problem. In this paper, IEEE 33-bus distribution test system is used to show the effectiveness of the FA. Comparison with Shuffled Frog Leaping Algorithm (SFLA) is also given.