{"title":"基于新型元启发式优化算法的混合可再生能源与传统发电调度框架","authors":"Kingsuk Majumdar, P. Roy, Subrata Banerjee","doi":"10.2316/j.2022.203-0387","DOIUrl":null,"url":null,"abstract":"In the present era, only thermal generation cannot be a solution to modern demand. The hybrid renewable energy with conventional power generation is the answer to save mother nature and meet the current electricity demand. In this article, traditional thermal power plants are interconnected with natural resources like wind, hydro units with all-day planning and operation strategies. And the generated power is needed to transfer from one section to another section in the existing grid system, which is the subject of available transfer capability (ATC), the modern power system’s critical factor. In this article, the minimization of power generation cost of the thermal power units is achieved by incorporating renewable sources, says hydro, and wind plants for 24 h scheduled, and ATC calculation is the prime objective. In recent literature, the mayfly algorithm (MA) optimization approach, which combines the advantages of evolutionary algorithms and swarms intelligence to attend better results, is successfully implemented. In this article, optimum power flow (OPF)-based ATC is enforced under various conditions with hydro–thermal–wind scheduling concept on the IEEE 39-test bus system to check the proposed chaotic MA’s performance. The chaotic MA (CHMA) is a hybridized format of the MA and chaotic map method. It is noted from the simulation study that the suggested novel CHMA approach has a dominant nature over other well-established optimization algorithms. Also in the case of multi-objective function, the cost function value is improved by more than 10% and ATC value is enhanced by near about 60% and more.","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":"1 1","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FRAMEWORK OF HYBRID RENEWABLE ENERGYWITH CONVENTIONAL POWER GENERATION SCHEDULING USING NOVEL METAHEURISTIC OPTIMIZATION ALGORITHM\",\"authors\":\"Kingsuk Majumdar, P. Roy, Subrata Banerjee\",\"doi\":\"10.2316/j.2022.203-0387\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the present era, only thermal generation cannot be a solution to modern demand. The hybrid renewable energy with conventional power generation is the answer to save mother nature and meet the current electricity demand. In this article, traditional thermal power plants are interconnected with natural resources like wind, hydro units with all-day planning and operation strategies. And the generated power is needed to transfer from one section to another section in the existing grid system, which is the subject of available transfer capability (ATC), the modern power system’s critical factor. In this article, the minimization of power generation cost of the thermal power units is achieved by incorporating renewable sources, says hydro, and wind plants for 24 h scheduled, and ATC calculation is the prime objective. In recent literature, the mayfly algorithm (MA) optimization approach, which combines the advantages of evolutionary algorithms and swarms intelligence to attend better results, is successfully implemented. In this article, optimum power flow (OPF)-based ATC is enforced under various conditions with hydro–thermal–wind scheduling concept on the IEEE 39-test bus system to check the proposed chaotic MA’s performance. The chaotic MA (CHMA) is a hybridized format of the MA and chaotic map method. It is noted from the simulation study that the suggested novel CHMA approach has a dominant nature over other well-established optimization algorithms. Also in the case of multi-objective function, the cost function value is improved by more than 10% and ATC value is enhanced by near about 60% and more.\",\"PeriodicalId\":43153,\"journal\":{\"name\":\"International Journal of Power and Energy Systems\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Power and Energy Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2316/j.2022.203-0387\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Power and Energy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2316/j.2022.203-0387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
FRAMEWORK OF HYBRID RENEWABLE ENERGYWITH CONVENTIONAL POWER GENERATION SCHEDULING USING NOVEL METAHEURISTIC OPTIMIZATION ALGORITHM
In the present era, only thermal generation cannot be a solution to modern demand. The hybrid renewable energy with conventional power generation is the answer to save mother nature and meet the current electricity demand. In this article, traditional thermal power plants are interconnected with natural resources like wind, hydro units with all-day planning and operation strategies. And the generated power is needed to transfer from one section to another section in the existing grid system, which is the subject of available transfer capability (ATC), the modern power system’s critical factor. In this article, the minimization of power generation cost of the thermal power units is achieved by incorporating renewable sources, says hydro, and wind plants for 24 h scheduled, and ATC calculation is the prime objective. In recent literature, the mayfly algorithm (MA) optimization approach, which combines the advantages of evolutionary algorithms and swarms intelligence to attend better results, is successfully implemented. In this article, optimum power flow (OPF)-based ATC is enforced under various conditions with hydro–thermal–wind scheduling concept on the IEEE 39-test bus system to check the proposed chaotic MA’s performance. The chaotic MA (CHMA) is a hybridized format of the MA and chaotic map method. It is noted from the simulation study that the suggested novel CHMA approach has a dominant nature over other well-established optimization algorithms. Also in the case of multi-objective function, the cost function value is improved by more than 10% and ATC value is enhanced by near about 60% and more.
期刊介绍:
First published in 1972, this journal serves a worldwide readership of power and energy professionals. As one of the premier referred publications in the field, this journal strives to be the first to explore emerging energy issues, featuring only papers of the highest scientific merit. The subject areas of this journal include power transmission, distribution and generation, electric power quality, education, energy development, competition and regulation, power electronics, communication, electric machinery, power engineering systems, protection, reliability and security, energy management systems and supervisory control, economics, dispatching and scheduling, energy systems modelling and simulation, alternative energy sources, policy and planning.