Research on smart tracking strategy of wind power and energy storage combined generation system based on three‐stage rolling optimisation

Wind power consumption has become a bottleneck in the development of wind power. Based on the energy storage's redistribution ability of wind power in time scale, the utilisation efficiency of wind power accommodation capability can be significantly improved. However, traditional plan tracking strategy of wind power and energy storage combined system usually makes decisions based on current operating conditions. Since the strategy does not consider the future regulation requirement, the energy storage system may be out of operation since the state of charge (SOC) is too high or too low. Aiming at the shortage of current tracking strategy, this paper proposes a smart tracking strategy of wind power and energy storage combined generation system based on three‐stage rolling optimisation, including day‐ahead, within‐day, and real time. The reserved capacity of energy storage station is determined according to the wind power ramping trend prediction method in day‐head stage. The low limit of energy storage station SOC is corrected according to ultra‐short time wind power prediction in within‐day stage. In real‐time stage, the energy storage system selectively participates in active power control of combined system according to the actual power deviation and SOC operating range. Simulation result shows that the proposed method can effectively improve the combined system generating capacity.