In order to maximize the match between the output of the hybrid wind/photovoltaic/energy storage system and the scheduling curve

the energy storage device is optimized and controlled one day ahead. Owing to the fuzziness of the wind and photovoltaic output

an optimal control method of energy storage is proposed based on a fuzzy correlated-chance programming theory. This method considers the constraints of the energy storage device including the power output and energy constraints

and the matching degree of each time is represented by the credibility value. So the final goal is to maximize the mean value of the total credibility within a day of 96 periods. By using the fuzzy simulation based genetic algorithm

the different periods of energy storage charge and discharge power corresponding to the credibility of the maximum mean value can be obtained. Numerical results analysis shows that the proposed optimal control strategy is valid for maximizing the match between the output of the hybrid wind/photovoltaic/energy storage system and the scheduling curve.