Optimal configuration of wind storage capacity based on VMD and improved GWO

Abstract

In view of the fluctuation of the output power of wind power generation, a hybrid energy storage capacity optimization configuration strategy combining variational mode decomposition (VMD) and improved Grey Wolf Optimizer (GWO) is proposed, taking the wind storage joint system as the research object. The sliding average method is used to obtain the target power of the wind power grid connection and use the VMD decomposition processing to allocate the energy storage target power to the different energy storage devices in the hybrid energy storage system. The capacity optimization model of hybrid energy storage system with the minimum annual configuration cost of energy storage system as the target function is established, and the improved Grey Wolf Optimizer is used to solve the model, and the simulation and analysis are conducted on Matlab / Simulink, so as to verify the effectiveness and economy of the proposed capacity optimization configuration method.