A Novel Control Strategy of Hybrid Energy Storage System for Wind Power Smoothing

Abstract

For the purpose of smoothing wind power fluctuations by using a battery–supercapacitor hybrid energy storage system (HESS), this paper designs a novel control strategy based on a self-adaptive wavelet packet decomposition technique and a two-level power reference signal distribution method. According to the fluctuation characteristics of wind power in different output scenarios, and considering the grid regulations on wind power volatility, the proposed technique can yield wind power grid-connected values adaptively. Then, the HESS power reference signals will be given by a two-stage reasonable distribution method based on the performance characteristics and the state of charge of the HESS. Simulation results show that the proposed control strategy can effectively improve the performance of wind power fluctuation smoothing and ensure that the HESS works within a reasonable range to guarantee the long-term stable operation of the HESS.

Keywords::

• hybrid energy storage system
• wind power smoothing
• adaptive wavelet packet decomposition
• power allocation

Additional information

Notes on contributors

Ming Ding

Ming Ding received the M.Sc. degree from Xi'an Jiaotong University, Xi'an, China, in 1984. He is a doctoral tutor and a professor of the School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China. His research interests include power system reliability analysis, power system operation and planning, renewable energy, distributed generation, and FACTS.

Jie Wu

Jie Wu received the Bachelor of Technology (Electrical Engineering and Automation) degree from Hefei University of Technology, Hefei, China, in 2013. He is currently working toward the Ph.D. degree from Hefei University of Technology, Hefei, China. His main research interests include renewable energy generation and energy storage technology.