A proposed method to extract maximum possible power in the shortest time on solar PV arrays under partial shadings using metaheuristic algorithms
Reza Hedayati Majdabadi, Saeed Sharifian Khortoomi

TL;DR
This paper introduces a metaheuristic algorithm-based method to maximize power output in partially shaded solar PV arrays quickly and efficiently, outperforming traditional arrangements like TCT and Sudoku.
Contribution
The study proposes a novel metaheuristic algorithm approach for optimal power extraction in shaded PV arrays, demonstrating improved results and faster convergence.
Findings
Metaheuristic algorithms outperform traditional shading arrangements in power output.
GWO algorithm is the fastest in reaching maximum power.
Proposed method achieves up to 18.53% more power than TCT arrangements.
Abstract
The increasing use of fossil fuels to produce energy is leading to environmental problems. Hence, it has led the human society to move towards the use of renewable energies, including solar energy. In recent years, one of the most popular methods to gain energy is using photovoltaic arrays to produce solar energy. Skyscrapers and different weather conditions cause shadings on these PV arrays, which leads to less power generation. Various methods such as TCT and Sudoku patterns have been proposed to improve power generation for partial shading PV arrays, but these methods have some problems such as not generating maximum power and being designed for a specific dimension of PV arrays. Therefore, we proposed a metaheuristic algorithm-based approach to extract maximum possible power in the shortest possible time. In this paper, five algorithms which have proper results in most of the…
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Taxonomy
TopicsPhotovoltaic System Optimization Techniques · Solar Radiation and Photovoltaics · Solar Thermal and Photovoltaic Systems
