A Novel Multi-Objective optimization Model for Integrated Photovoltaic/Hydroelectric Power Generation Operation

This paper proposes a multi-objective optimization model for integrated PV/hydroelectric power generation systems to minimize the fluctuation of the combined power output and at the same time maximize total income of the integrated systems. In addition, factors such as flood control, water supply, evaporation and precipitation are considered. The multi-objective optimization problem is solved by the non-dominated sorting genetic algorithm (NSGA-II) with improved sorting and diversity distribution method that significantly increases the efficiency and speed of the solution. Finally, the proposed model is applied to integrated Longyangxia PV/hydroelectric hybrid systems. Simulation results demonstrate the effectiveness of the proposed methods.