Construction of an Optimized Configuration Model for Wind Power System Energy Storage Based on OOB-GWO-SVR

Wind power systems are volatile and uncertain. In this paper, the wind power system was studied for optimal configuration to improve the stability and reliability of the wind power system. This article proposed a wind power system energy storage optimization configuration model based on OOB-GWO-SVR. Through the simulation analysis of the actual data of a wind farm, this paper verified the accuracy and effectiveness of the proposed model, and compared it with other commonly used algorithms. By experimental analysis, the optimal energy storage capacity of the proposed model was 110 kWh, which had higher prediction accuracy and optimization capability than empirical formulas and genetic optimization algorithm (GOA).