Multi-Objective Optimal Design of Wind/PV/Pumped-Storage System Based on GA

This paper describes a hybrid wind/PV system which uses pumped-storage station to offset the effects of the inclusion of wind or wind power and to transfer energy form low-use periods to peak-use periods instead of battery. The model of wind/PV/pumped- storage system is given in the paper, under the economic and security criteria conditions, the question of how much wind, PV and pumped storage capacity is addressed by formulating a nonlinear programming optimization problem which is optimized by using GA (genetic algorithm) because of its good global convergence and robustness. Results showed that the optimal system has the characteristic that the LPSP (loss of power supply probability) is merely zero and the CUE (cost of unit energy) is lowest.