A control strategy for energy storage system based on wind power prediction error interval

Due to intermittency and randomness of wind, the accuracy of wind power prediction is still low. With access of large-scale wind power to centralized grid systems, significant increase is expected in the burden of power system scheduling, leading to adverse effects to power control. This can be alleviated by using energy storage systems (ESS), which is able to time shift energy and power. This paper first describes the impact of uncertainty of wind power on the scale of wind power dispatching in terms of power system security. Then a time series regression model is proposed to predict wind power. A control strategy is put forward for ESS based on wind power prediction error interval. Finally, an assessment is made on the effectiveness of the strategy.