Optimal Sizing of Hybrid PV-Wind-Battery System Using Teaching-Learning Based Optimization Algorithm

In optimal design of wind-solar system with battery storage apart from network, it is considered both technically and economically Criteria. Optimizing the size of the system equipment is done according to technical index i.e. reliability of system load supply and the other economic index i.e. Energy generation costs. The aim of this paper is to determine the optimal capacity of studied system equipment with the aim to improve the reliability of the system load with only minimal energy generation costs. In this study, an optimization algorithm is used to solve the optimization problem based teaching – learning optimization algorithm. Decision variables include the area of the solar array, wind turbine rotor area and battery capacity. The results obtained by the optimization showed that using a combination of solar array and wind energy with battery achieves the desired load reliability with minimum costs