The new round of power system reformation requires further improvement on the capability of wind power tracking plan. The battery energy storage system(BESS)provides a way for this but the cost is high. To enhance the economy

an optimal control strategy for wind farms equipped with BESS is proposed

which contains an optimal control model as the core

and a rolling optimization algorithm with lead control. The proposed optimal control model takes the minimization of numbers of BESS orders as its objective

and contains statistical control effect constraints and BESS operation constraints including state of charge and dead band. The rolling optimization algorithm utilizes the ultra-short-term wind power prediction(WPP)to perform a real-time lead control within each 10 min evaluation period of statistical control effect

and continuously correct the impact of prediction error

ensuring all constraints to be satisfied. Finally

the simulation results show that the proposed control strategy does improve the accuracy of wind power tracking plan and reduce numbers of BESS orders under this premise. Besides

it has anti-interference feature against ultra-short-term WPP error.