Fuzzy controller optimized by the grasshopper algorithm to realize maximum power in photovoltaic systems

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 solar cell 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.