Optimization of SMES-Battery Hybrid Energy Storage System for Wind Power Smoothing

In this paper, a hybrid energy storage system (HESS) containing superconducting magnetic energy storage (SMES) and battery is adopted to smooth wind power fluctuations, and the optimal capacity of the HESS is investigated. Using a proper lowpass filter, low-frequency and high-frequency components of wind power fluctuations are decomposed, and the primary power-sharing strategy is designed for the SMES and the battery. Considering investment cost and maintenance cost, the objective function of minimizing the annual cost of the SMES-battery HESS is created, and the simulate anneal algorithm is used to acquire the optimal solution. Aiming at a 500kW wind power system with a SMES-battery HESS, the optimization calculation is implemented. The results well demonstrate the effectiveness and adaptability of the proposed optimization approach.