A Control Strategy for Smoothing Active Power Fluctuation of Wind Farm with Flywheel Energy Storage System Based on Improved Wind Power Prediction Algorithm

DOI: 10.4236/epe.2013.54B075   PDF   HTML     5,646 Downloads   7,476 Views   Citations

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.

Share and Cite:

J. Wang and X. Wang, "A Control Strategy for Smoothing Active Power Fluctuation of Wind Farm with Flywheel Energy Storage System Based on Improved Wind Power Prediction Algorithm," Energy and Power Engineering, Vol. 5 No. 4B, 2013, pp. 387-392. doi: 10.4236/epe.2013.54B075.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] 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.
[2] H. Holttinen and R. Hirvonen, “Wind Power in Power Systems,” 1st Edition, John Wiley & Sons Ltd., Chichester, 2005.
[3] 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.
[4] 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.
[5] 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
[6] 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
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] R. Xiang, X. R. Wang and J. Tan, “Operation Control of Flywheel Energy Storage System Applying to Wind Farm,” Journal of Systems Science and Mathematical Sciences, Vol. 32, No. 4, 2012, pp. 438-449.
[14] R. Takahashi and J. Tamura, "Frequency Control of Isolated Power System with Wind Farm by Using Flywheel Energy Storage System," Proceedings of the 18th International Conference on Electrical Machines of the ICEM, Vilamoura, 6-9 September 2008, pp. 1-6.
[15] P. Jiang and H. C. Xiong, “A Control Scheme Design for Smoothing Wind Power Fluctuation with Hybrid Energy Storage System,” Automation of Electric Power Systems, Vol. 37, No. 1, 2013, pp. 122-127.
[16] M. Lei, L. Y. Shi, W. J. Chuan, et al., “A Review on the Forecasting of Wind Speed and Generated Power,” Renewable and Sustainable Energy Reviews, Vol. 13, No. 4, 2009, pp. 915-920. doi:10.1016/j.rser.2008.02.002
[17] K. Chang, M. S. Ding, F. Xue, et al., “Ultra-short-term Wind Power Prediction and its Application in Early-warning System of Power Systems Security and Stability,” Power System Protection and Control, Vol. 40, No. 12, 2012, pp. 19-24.
[18] J. F. Li, B. H. Zhang, G. L. Xie, et al., “Grey Predictor Models for Wind Speed-Wind Power Prediction,” Power System Protection and Control, Vol. 38, No. 19, 2010, pp. 151-159.
[19] W. Wangdee and R. Billinton, "Considering Load-carrying Capability and Wind Speed Correlation of WECS in Generation Adequacy Assessment,” IEEE Transactions on Energy Conversion, vol. 21, No. 3, 2006, pp. 734-741. doi:10.1109/TEC.2006.875475
[20] T. Tanabe, T. Sato, R. Tanikawa, I. Aoki, T. Funabashi and R. Yokoyama, "Generation Scheduling for Wind Power Generation by Storage Battery System and Meteorological Forecast,” Proceedings of the Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century of the IEEE, Pittsburgh, PA, 20-24 July 2008, pp. 1-7.
[21] J. V. Paatero and P. D. Lund, “Effect of Energy Storage on Variations in Wind Power,” Wind Energy, Vol. 8, No. 4, 2005, pp. 421-441. doi:10.1002/we.151
[22] X. Z. Tang, “Vector Control System of Permanent -Magnet Synchronous Motor,” Master Thesis, Zhejiang University, Zhejiang, 2005.
[23] C. Chapelsky, J. Salmon and A. Knight, "Control of a High-Inertia Flywheel as Part of a High Capacity Energy Storage System," Proceedings of the Canadian Conference on Electrical and Computer Engineering of the CCECE, Vancouver, BC, 22-26 April 2007, pp. 1437-1440.

  
comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.