Abstract—Fluctuations in the output power of large-scale wind farms can have a considerable influence on power quality and stability, leading to the risk of grid frequency deviation, particularly in isolated power system. Fluctuations in wind power can be smoothing through the inclusion of wind-storage system. In this system, wind turbines are connected with battery energy storage system (BESS). This paper proposes a novel operation control strategy, referred to as prediction-based control (PBC). The proposed strategy (which utilizes predicted changes in wind power generation) can effectively smooth the fluctuation in the output power of wind farms (WFs), based on the concept of confidence intervals. Furthermore, the rolling-wave planning and dynamic control of the BESS enhances its capacity. Finally, the proposed control strategy provides an avenue by which to examine the characteristics of large-scale WFs and BESS for better planning, design, and operations.
Index Terms—Grid-level battery energy storage system, wind farm, real-time control, prediction-based control, wind turbines, wind power fluctuation.
Tsai-Hsiang Chen, Rih-Neng Liao, Chun-Yen Yang, and Yen-Hsun Chiang are with the Department of Electrical Engineering, National Taiwan University of Science and Technology, 43, Keelung Road, Section 4, Taipei, Taiwan (10607), R.O.C. (e-mail: thchen@mail.ntust.edu.tw).
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Cite:Tsai-Hsiang Chen, Rih-Neng Liao, Chun-Yen Yang, and Yen-Hsun Chiang, "Application of Grid-Level Battery Energy Storage System to Wind Power Fluctuation Smoothing," Journal of Clean Energy Technologies vol. 4, no. 3, pp. 201-204, 2016.
