An optimization method for sizing a solar/wind/battery hybrid power system based on the artificial immune system

This study proposes a novel technique to obtain the optimum size of a Solar/Wind/Battery hybrid power system (HPS) using Clonal Selection Algorithm (CLONALG). The objective of the proposed method is to find the optimal size of the HPS to utilize its output with small fluctuation rate and minimum cost. The system is designed with the optimal size of PV arrays, wind turbines, and batteries so that it can satisfy the demand requirement with the least percentage of load interruptions. Loss of Power Supply Probability (LPSP) is considered as a reliability index of the HPS, and the optimization process is supposed to get the least LPSP as it could. To verify the proposed algorithm, it is applied to a case study located in Troyes Barbery Station-France and the results are compared with those obtained by Genetic Algorithm (GA). Then the CLONALG is used to get the optimal size of an HPS located in Qena AL-Gadida city-Egypt. The results proved that the proposed method is effective for the sizing process and can achieve the system objectives.