Abstract:

At present, literature research on the energy storage system which is applied to control the fluctuation of new energy power generation and the control strategy of peak load shifting and valley filling has been done. Nevertheless, the feasibility of the application of the energy storage system under the mechanism of wind power prediction accuracy and the impact of wind farm benefits has not been studied. This paper proposes a control strategy of the system output to reduce wind farm short-term power prediction error for the target storage, which treats the real-time output data of wind farm (second level) as the data source and adopts the linear extrapolation method to predict the output of the wind farm at the next moment by moving average optimization. By comparing the short-term power forecast value and the real-time forecast value of wind farm and calculating the expected output of the energy storage system, simulation verification is carried out eventually after the output capacity of the energy storage system is restrained according to the output capacity of the SOC interval in the different energy storage system. The results show that the proposed control strategy of energy storage power system, can help the wind farm to meet the requirement of the short-trem power prediction accuracy assessment through the allocation of energy storage system, and has the guiding significance of lean-oriented operation and management of wind farm.

Key words: energy storage system, short term wind power forecasting, accuracy rate, state of charge(SOC)