State-of-charge optimising control approach of battery energy storage system for wind farm

• Published in: IET renewable power generation Vol. 9; no. 6; pp. 647 - 652
• Main Authors: Zou, Jianxiao, Peng, Chao, Shi, Jie, Xin, Xiaoshuai, Zhang, Zhenzhen
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.08.2015
• Subjects: battery energy storage system; battery storage plants; BESS; charging‐discharging power control; Electric charge; Energy storage; filter‐based real‐time control module; Fluctuation; fuzzy control; fuzzy self‐adjustment; load forecasting; Mathematical analysis; minimisation; Modules; optimal control; Optimization; overcharging minimisation; overdischarging minimisation; power control; power generation control; self‐adjusting systems; Smoothing; SOC regulation; state‐of‐charge optimising control approach; time 1 min to 10 min; wind farm; Wind power; wind power fluctuation regulation; wind power plants; wind power prediction information; wind power smoothing control simulation experiments; wind farm; filter-based real-time control module; wind power smoothing control simulation experiments; time 1 min to 10 min; overdischarging minimisation; power generation control; optimal control; self-adjusting systems; SOC regulation; fuzzy self-adjustment; state-of-charge optimising control approach; wind power prediction information; fuzzy control; energy storage; load forecasting; wind power fluctuation regulation; battery storage plants; power control; minimisation; BESS; wind power plants; overcharging minimisation; battery energy storage system; charging-discharging power control
• ISSN: 1752-1416; 1752-1424; 1752-1424
• DOI: 10.1049/iet-rpg.2014.0202

In recent years, configuring battery energy storage system (BESS) in wind farm has become the most popular method to smooth wind power fluctuation. The effectiveness of wind power fluctuation smoothing relies on the charging/discharging power control and state of charge (SOC) regulation of BESS. This study proposed a novel optimising SOC control approach for BESS in wind farm which could regulate wind power fluctuation in a suitable level and maintain SOC in an optimal range by utilising the wind power prediction information. A wind power prediction-based optimal SOC calculation module is designed to obtain an optimal range of SOC which makes BESS have enough capacity to smooth wind power fluctuation in a finite future period of time. It takes minimising over-charging and over-discharging time as optimisation objectives and biggest variations of wind farm outputting power within 1 and 10 min as restraint. A fuzzy self-adjusting of filter-based real-time control module is designed to smooth the wind power fluctuation in real time and regulate SOC to the optimal range. Finally, the effectiveness of the proposed approach was demonstrated through implementing it in wind power smoothing control simulation experiments.