Applying predictive power control to BESS for mitigation of wind power fluctuations

Battery energy storage systems (BESSs) have been widely used to minimize wind power fluctuations in microgrids. BESSs control systems are usually based on vector-controlled techniques with inner current control loops and outer control loops. Owing to the complexity of a control system, it is difficult to apply additional functions such as predicting wind power. This paper presents a detailed description of predictive power control in the BESS for smoothing wind power fluctuations. The proposed control system includes the Kalman filter used to predict wind power. Simulation results are provided to confirm the performance of the proposed control system.