Wind Power Stabilization Strategy Based on Grey Prediction and Low-pass Filtering

Equipping an energy storage system with a certain capacity at the site of grid-connection of wind power to stabilize the grid-connected wind power, the security and reliability of grid-connected wind power can be greatly improved. The long lag characteristic in low-pass filtering and other traditional means and the insufficient following ability of wind power system lead to larger charge and discharge depth of the energy storage system, so that the lifetime of the energy storage system is affected and the energy storage system with higher capacity has to be equipped. For this reason, by use of an energy storage system, in which the grey prediction and the low-pass filtering was combined, a wind power smoothing control strategy was proposed. The proposed strategy can automatically adjust the parameter of the algorithm according to the change of state of charge (abbr. SOC) of energy storage system to ensure the SOC was kept within the secure range, meanwhile, the smoothing and tracking of wind power was achieved, and the depth of charge and discharge and the demand on capacity configuration of energy storage system could be decreased. Finally, by means of simulation with MATLAB the feasibility and effectiveness of the proposed strategy are verified.