MPPT Controller

Abstract— The research elaborately discusses the design, implementation, and application of Maximum Power Point Tracking (MPPT) controllers for photovoltaic (PV) systems, as well as its relevance in the disciplines of electrical engineering and food technology. MPPT controllers are increasingly being utilized as essential components to improve the efficiency of solar-based energy systems through the dynamic adjustment of operational parameters for extracting maximum power under varying ambient conditions. This report highlights different algorithms for MPPT such as Perturb and Observe, Incremental Conductance, and the more advanced techniques based on Artificial Intelligence, specifying how they function, their merits and drawbacks, and examples of fields they have been applied into. It has also focused on the integration of MPPT-based systems in solar-powered agricultural irrigation, food processing units, and smart cold storage technologies as critical players toward ushering in food security and the sustainability of programs. Challenges brought about by the environmental fluctuations, complexity of the systems themselves, and integration issues have been dealt with concerning future trends involving artificial intelligence and IoT. The conclusion emphasizes the transformative abilities inherent in using MPPT technology, including advanced performance in energy efficiency, reduced dependence on fossil fuel, and empowerment of communities off-rural and off-grid terrains. Keywords— MPPT controller, photovoltaic systems, solar energy, food technology, energy efficiency