A reptile search algorithm-based optimal control method for the hybrid pressure retarded osmosis and photovoltaic system

Optimal control of photovoltaic systems (PV) and pressure retarded osmosis (PRO) systems has been a hot topic of research. The method used for maximum power tracking control has always deviated somewhat from the ideal and failed to achieve the expected results. The accuracy and speed of tracking in practical applications have always been a problem. Therefore, a metaheuristic-based Reptile Search Algorithm (RSA) is proposed to solve the MPPT control problem of this system. Solar irradiance, ambient temperature and operating conditions parameters are used as input parameters of the PV/PRO system, and power is used as the output. Finally, the results of RSA were compared with the incremental conductance (INC), perturbation and observation (PO) and grey wolf (GWO) algorithms.