چکیده مقاله
Solar photovoltaic PV systems require robust Maximum Power Point Tracking MPPT algorithms to continuously extract maximum available power under dynamic environmental conditions, such as fluctuating solar irradiance and temperature This paper presents a comprehensive review and systematic categorization of MPPT techniques into four primary frameworks: conventional, intelligent, optimization based, and hybrid methods A wide range of algorithms is rigorously evaluated and compared based on critical operational metrics, including tracking accuracy, convergence speed, hardware implementation complexity, and overall performance under partial shading conditions PSC The comparative analysis reveals that while conventional methods provide cost effective and straightforward solutions for uniform irradiance, they inherently suffer from steady state oscillations and fail to identify the true global maximum power point GMPP during PSC Conversely, intelligent and optimization based frameworks effectively bypass local maxima to track the GMPP with near % efficiency and rapid response times, albeit at the expense of higher computational burdens and hardware costs Ultimately, hybrid topologies demonstrate the most superior performance by synergistically combining rapid global exploration with precise local fine tuning By synthesizing these operational trade offs, this review provides a concise and technical guide for selecting the most appropriate MPPT strategy based on specific system requirements
کلیدواژهها
نویسندگان
شیوه ارجاع
babaei birag, Abbas and salemnia, Ahmad,1405,A Comprehensive Review and Categorization of Maximum Power Point Tracking (MPPT) Algorithms in Solar Photovoltaic Systems,The 9th international conference on artificial intelligence and its future prospects in electrical, computer, mechanical and telecommunication engineering sciences,Mashhad
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