OICC Press Majlesi Journal of Electrical Engineering 2345-3796 19 1 (March 2025) 2025 03 01 Fuzzy controller optimized by the grasshopper algorithm to realize maximum power in photovoltaic systems 1 8 10.57647/j.mjee.2025.1901.02 EN Kamran Safaei Department of Electrical Engineering, Majlesi Branch, Islamic Azad University, Isfahan, Iran https://orcid.org/0009-0005-7730-1869 Aida Esmaeilian-Marnani Department of Electrical Engineering, Mobarakeh Branch, Islamic Azad University, Isfahan, Iran https://orcid.org/0000-0003-4976-0169 Hossein Emami Department of Skill Development and Entrepreneurship, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran https://orcid.org/0000-0003-3272-7223 Amir Hossein Zaeri Department of Electrical Engineering, Shahinshahr Branch, Islamic Azad University, Isfahan, Iran https://orcid.org/0000-0003-4412-047X Journal Article 2025 03 01 In this paper, a fuzzy controller is presented in order to achieve the maximum power in a solar cell. For improvement of the controller performance and achievement of the maximum power, the fuzzy controller variables are improved by the Grasshopper Optimization Algorithm (GOA). This algorithm has flexibility and fast convergence. In this paper, the ISE evaluation index is employed as the cost function of algorithm to verify the obtained results. The results show that under the supposed conditions, the power value of the solarcell utilizing the suggested algorithm has increased compared to other algorithms. In the simulation, the power value using the  proposed algorithm is 182.3 watts and the cell efficiency in this case is 99.97%. Therefore, the achieved results show at least 0.03% and 1.2% improvement, respectively in power and efficiency, compared to some examined methods.