Aiming at the output randomness and fluctuation brought by wind power integration

a short-term optimal scheduling method for combined operation of wind power and hydropower is proposed. The uncertainty of wind power is considered in this method. Firstly

the scenario analysis method is adopted to describe the uncertainty of wind power output

which constructs the corresponding relationship between wind power prediction scenarios and practical scenarios through a two-step fuzzy clustering method. Then

the conditional probability distribution between prediction scenarios and practical scenarios can be determined. And

the uncertainty of wind power can be described by the determined set of scenarios and its probability distribution. Finally

combined with the wind power scenarios

an optimal scheduling model with peak regulation as the optimization objective for combined operation of wind power and hydropower is established. A association search method combined with successive approximation method is used to solve the proposed model. Taking a region in Southwest China for example

the application effect of the proposed method is verified.