A New Method for Finding the Maximum Point of the Output Power of A Solar Panel with Multiple Peaks Muliadi, Ira Devi Sara Proceedings of the International Conference on Electrical Engineering and Informatics, 2020 Conventional techniques for finding the maximum point of the output power of a solar panel such as artificial intelligence (AI), perturb and observe (P&O), incremental conductance (IC), hill climbing (HC) are unable to obtain the global maximum point of the output power with multiple peaks. One interesting solution has been proposed to solve this problem i.e.: by using a metaheuristic optimization methodology. Therefore, a method based on the grey wolf optimization (GWO) is suggested to increase the efficiency in finding the global maximum point of the output power of a solar panel with multiple peaks. In this study, there are two different arrangements of a solar panel advocated i.e.: one module with one bypass diode and two modules with one bypass diode under two different shading conditions. The results indicate that the arrangement of a solar panel has an impact on the output power yield. Furthermore, the GWO method also produces an efficient and faster convergence in obtaining the global maximum point of the output power of a solar panel with multiple peaks.
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