Optimal scheduling the wind-solar-storage hybrid generation system considering wind-solar correlation

An optimal scheduling approach on the wind-solar-storage generation system which considers the correlation among wind power, photovoltaic output and load is proposed in this paper. The object of scheduling model is to track load curve given by the grid dispatch center in the largest degree, and constraints includes upper and lower bound of each unit output, the maximum allowable spilling wind, photovoltaic output, and storage unit operating constraints. Spearman correlation coefficient ρ_s is used to deal with the correlation between two random variables, then used to determine the priority order of scheduling. Taking an example of a 24-hour wind, photovoltaic power forecast and demand curve, the proposed method is validated. The results show that the proposed approach can increase the utilization ratio of photovoltaic power, improve the operating condition of the energy storage unit, and improve the ability of the wind-solar-storage hybrid generation system to track load, and make the system more environmentally friendly.