Fast Convergence Modified Particle Swarm Optimization Al-gorithm to Follow up String PV Modules Maximum Power Point under Different Climatic Conditions
{"title":"Fast Convergence Modified Particle Swarm Optimization Al-gorithm to Follow up String PV Modules Maximum Power Point under Different Climatic Conditions","authors":"Ehab Ali, A. Abdelsalam, Ahmed HossamEldin","doi":"10.21608/ijt.2021.266173","DOIUrl":null,"url":null,"abstract":": Photovoltaics are extensively used as a premium device for generating electricity from solar planet's power. Under uniform radiation, the photovoltaics' output characteristics have a non-linear frame with a unique maximum power point. This point changes its position when a sudden change in solar radiation occurs. Otherwise, when the PV string is subjected to partial shading conditions, several power peaks have appeared with only one Global maximum power. The classical maximum power point tracking strategies always fails to deal with these dynamic difficulties, especially, under unex-pected climatic changes. Many soft computing methods are previously constructed to deal with these problems, but the main hurdles remain how to manage this tracking with the fastest time, the smallest power oscillations, and the greatest efficiency. In this paper, a modified Particle Swarm Optimization algorithm was proposed that capable of excluding or promoting certain parts of the solution search area until reach and track the max power point. The suggested method has been simulated and practically tested and the results indicate that the suggested method outperforms the typical Particle Swarm Optimization algorithm with regards to the speed of Global maximum power point tracking with the lowest oscillation and highest efficiency. (PS); Particle Swarm Optimization (PSO); Global Maximum Power Point (GMPP).","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":"41 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Interdisciplinary Telecommunications and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21608/ijt.2021.266173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 1
Abstract
: Photovoltaics are extensively used as a premium device for generating electricity from solar planet's power. Under uniform radiation, the photovoltaics' output characteristics have a non-linear frame with a unique maximum power point. This point changes its position when a sudden change in solar radiation occurs. Otherwise, when the PV string is subjected to partial shading conditions, several power peaks have appeared with only one Global maximum power. The classical maximum power point tracking strategies always fails to deal with these dynamic difficulties, especially, under unex-pected climatic changes. Many soft computing methods are previously constructed to deal with these problems, but the main hurdles remain how to manage this tracking with the fastest time, the smallest power oscillations, and the greatest efficiency. In this paper, a modified Particle Swarm Optimization algorithm was proposed that capable of excluding or promoting certain parts of the solution search area until reach and track the max power point. The suggested method has been simulated and practically tested and the results indicate that the suggested method outperforms the typical Particle Swarm Optimization algorithm with regards to the speed of Global maximum power point tracking with the lowest oscillation and highest efficiency. (PS); Particle Swarm Optimization (PSO); Global Maximum Power Point (GMPP).
期刊介绍:
The International Journal of Interdisciplinary Telecommunications and Networking (IJITN) examines timely and important telecommunications and networking issues, problems, and solutions from a multidimensional, interdisciplinary perspective for researchers and practitioners. IJITN emphasizes the cross-disciplinary viewpoints of electrical engineering, computer science, information technology, operations research, business administration, economics, sociology, and law. The journal publishes theoretical and empirical research findings, case studies, and surveys, as well as the opinions of leaders and experts in the field. The journal''s coverage of telecommunications and networking is broad, ranging from cutting edge research to practical implementations. Published articles must be from an interdisciplinary, rather than a narrow, discipline-specific viewpoint. The context may be industry-wide, organizational, individual user, or societal. Topics Covered: -Emerging telecommunications and networking technologies -Global telecommunications industry business modeling and analysis -Network management and security -New telecommunications applications, products, and services -Social and societal aspects of telecommunications and networking -Standards and standardization issues for telecommunications and networking -Strategic telecommunications management -Telecommunications and networking cultural issues and education -Telecommunications and networking hardware and software design -Telecommunications investments and new ventures -Telecommunications network modeling and design -Telecommunications regulation and policy issues -Telecommunications systems economics