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• W2901426846 abstract "Optimal energy extraction under partial shading conditions from a photovoltaic (PV) array is particularly challenging. Conventional techniques fail to achieve the global maximum power point (GMPP) under such conditions, while soft computing techniques have provided better results. The main contribution of this paper is to devise an algorithm to track the GMPP accurately and efficiently. For this purpose, a ten check (TC) algorithm was proposed. The effectiveness of this algorithm was tested with different shading patterns. Results were compared with the top conventional algorithm perturb and observe (P&O) and the best soft computing technique flower pollination algorithm (FPA). It was found that the proposed algorithm outperformed them. Analysis demonstrated that the devised algorithm achieved the GMPP efficiently and accurately as compared to the P&O and the FPA algorithms. Simulations were performed in MATLAB/Simulink." @default.
• W2901426846 created "2018-11-29" @default.
• W2901426846 creator A5023457701 @default.
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• W2901426846 date "2018-11-16" @default.
• W2901426846 modified "2023-10-05" @default.
• W2901426846 title "A Novel Ten Check Maximum Power Point Tracking Algorithm for a Standalone Solar Photovoltaic System" @default.
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• W2901426846 doi "https://doi.org/10.3390/electronics7110327" @default.
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