Optimal configuration of wind solar hybrid power generation system

Abstract

Wind solar hybrid power utilizing wind and solar complementary can improve the continuity of load power. An optimal configuration of wind solar hybrid power generation system is studied in this paper. Correlation between wind power and solar power is analyzed. Least squares method is used to calculate marginal probability density of wind speed. Mean and variance estimation method is employed to obtain sunshine. Copula function is applied to calculate the joint probability density of wind power and solar power. The objective function of the optimization framework and constraint conditions are established according to the characteristics of wind solar hybrid power generation system. Genetic algorithm is used to optimize the objective function. A simulation example is studied to verify the correctness of the proposed optimization method. The results demonstrate that the proposed method can obtain an optimal configuration of wind solar hybrid power generation system while satisfying load power constraints.