A. Elrifai, H. Henry, M. Salama, Mohamed Abdelkarim
{"title":"使用蜜蜂算法预测经济负荷调度问题的成本...","authors":"A. Elrifai, H. Henry, M. Salama, Mohamed Abdelkarim","doi":"10.21608/erjsh.2023.239145.1223","DOIUrl":null,"url":null,"abstract":": This paper illustrates Bees Algorithm (BA) for solving the economic load dispatch (ELD) problem to obtain the best for all generation sets to achieve the minimum total fuel cost of the system. To show the efficiency of suggested algorithm two power system were tested. The first system consist of six thermal units and the second system consists of fifteen thermal unit with a wide range of operational constraints. The numerical data obtained from suggested method is examined with those obtained from different methods as Particle swarm optimization (PSO) and Genetic Approach Search (GAS) to illustrate the validity and verify the feasibility of the suggested method. The Bees Algorithm is an optimization method that mimics honey bee foraging behavior and has been effectively used to solve a number of real-world issues. The data results explain that, the suggested method which is suitable to deal with mathematical difficulties of economic load dispatch study.","PeriodicalId":159365,"journal":{"name":"Engineering Research Journal (Shoubra)","volume":"7 11","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cost Prediction of Economic load Dispatch Problem Using Bees Algorithm..\",\"authors\":\"A. Elrifai, H. Henry, M. Salama, Mohamed Abdelkarim\",\"doi\":\"10.21608/erjsh.2023.239145.1223\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": This paper illustrates Bees Algorithm (BA) for solving the economic load dispatch (ELD) problem to obtain the best for all generation sets to achieve the minimum total fuel cost of the system. To show the efficiency of suggested algorithm two power system were tested. The first system consist of six thermal units and the second system consists of fifteen thermal unit with a wide range of operational constraints. The numerical data obtained from suggested method is examined with those obtained from different methods as Particle swarm optimization (PSO) and Genetic Approach Search (GAS) to illustrate the validity and verify the feasibility of the suggested method. The Bees Algorithm is an optimization method that mimics honey bee foraging behavior and has been effectively used to solve a number of real-world issues. The data results explain that, the suggested method which is suitable to deal with mathematical difficulties of economic load dispatch study.\",\"PeriodicalId\":159365,\"journal\":{\"name\":\"Engineering Research Journal (Shoubra)\",\"volume\":\"7 11\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Research Journal (Shoubra)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21608/erjsh.2023.239145.1223\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Research Journal (Shoubra)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21608/erjsh.2023.239145.1223","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cost Prediction of Economic load Dispatch Problem Using Bees Algorithm..
: This paper illustrates Bees Algorithm (BA) for solving the economic load dispatch (ELD) problem to obtain the best for all generation sets to achieve the minimum total fuel cost of the system. To show the efficiency of suggested algorithm two power system were tested. The first system consist of six thermal units and the second system consists of fifteen thermal unit with a wide range of operational constraints. The numerical data obtained from suggested method is examined with those obtained from different methods as Particle swarm optimization (PSO) and Genetic Approach Search (GAS) to illustrate the validity and verify the feasibility of the suggested method. The Bees Algorithm is an optimization method that mimics honey bee foraging behavior and has been effectively used to solve a number of real-world issues. The data results explain that, the suggested method which is suitable to deal with mathematical difficulties of economic load dispatch study.