A Control Strategy for Smoothing Active Power Fluctuation of Wind Farm with Flywheel Energy Storage System Based on Improved Wind Power Prediction Algorithm
- 1 School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China
- 2 School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China
Abstract
The fluctuation of active power output of wind farm has many negative impacts on large-scale wind power integration into power grid. In this paper, flywheel energy storage system (FESS) was connected to AC side of the doubly-fed induction generator (DFIG) wind farm to realize smooth control of wind power output. Based on improved wind power prediction algorithm and wind speed- power curve modeling , a new smooth control strategy with the FESS was proposed. The requirement of power system dispatch for wind power prediction and flywheel rotor speed limit were taken into consideration during the process. While smoothing the wind power fluctuation, FESS can track short-term planned output of wind farm. It was demonstrated by quantitative analysis of simulation results that the proposed control strategy can smooth the active power fluctuation of wind farm effectively and thereby improve power quality of the power grid.
- Y. Z. Sun, J. Wu and G. J. Li, “Influence Research of Wind Power Generation on Power Systems,” Power System Technology, Vol. 31, No. 20, 2007, pp. 55-62.
- H. Holttinen and R. Hirvonen, “Wind Power in Power Systems,” 1st Edition, John Wiley & Sons Ltd., Chichester, 2005.
- Q. Xiong and L. Liao, “Power Smoothing Control Strategy for Direct-driven Wind Power System with Flywheel Energy Storage System,” East China Electric Power, Vol. 40, No. 9, 2012, pp.1533-1539.
- Y. C. Xue, N. L. Tai, K. Song, et al., “Smoothing Control Strategy on Power Fluctuation of Power Filtering Based Wind Farm,” East China Electric Power, Vol. 39, No. 3, 2011, pp. 454-458.
- J. P. Barton and D. G. Infield, “Energy Storage and its Use with Intermittent Renewable Energy,” IEEE Transactions on Energy Conversion, Vol. 19, No. 2, 2004, pp. 441-448. doi:10.1109/TEC.2003.822305
- L. Changling, H. Banakar, S. Baike, et al., “Strategies to Smooth Wind Power Fluctuations of Wind Turbine Generator,” IEEE Transactions on Energy Conversion, Vol. 22, No. 2, 2007, pp. 341-349. doi:10.1109/TEC.2007.895401
- Y. Liao, J. B. He, J. Yao, et al., “Power Smoothing Control Strategy of Direct-driven Permanent Magnet Synchronous Generator for Wind Turbine With Pitch Angle Control and Torque Dynamic Control,” Proceedings of the CSEE, Vol. 29, No. 18, 2009, pp. 71-77.
- D. Q. Bi, B. M. Ge and W. L. Wang, “VRB Energy Storage System Based Power Control of Grid-connected Wind Farm,” Automation of Electric Power Systems, Vol. 34, No. 13, 2010, pp. 72-78.
- H. S. Hong, Q. Y. Jiang and Y. T. Yan, “An Optimization Control Method of Battery Energy Storage System with Wind Power Fluctuations Smoothed in Real Time,” Automation of Electric Power Systems, Vol. 37, No. 1, 2013, pp. 103-109.
- B. Li and J. B. Guo, “A Control Strategy for Battery Energy Storage System to Level Wind Power Output,” Power System Technology, Vol. 36, No. 8, 2012, pp. 38-43.
- J. P. Ruan, J. C. Zhang and J. H. Wang, “Improvement of Stability of Wind Farms Connected to Power Grid Using Flywheel Energy Storage System,” Electric Power Science and Engineering, Vol. 24, No. 3, 2008, pp. 5-8.
- X. S. Hu, C. X. Sun, R. Liu, et al., “An Active Power Smoothing Strategy for Direct-driven Permanent Magnet Synchronous Generator Based Wind Turbine Using Flywheel Energy Storage,” Automation of Electric Power Systems, Vol. 34, No. 13, 2010, pp. 79-83.