Design of Energy Storage Station Grouping Energy Management Strategies to Balance Short-Term Wind Power Fluctuations

Article Preview

Abstract:

This paper designs a grouping energy management strategy to reduce the influence of wind power fluctuations on the power system. To improve operational technicality and economy of energy storage stations, this paper designs a grouping energy management strategy with SOC correction. According to physical constrains of battery energy storage systems, technical and economic evaluation index of energy storage stations are established. Reasonable limit bands to an energy storage station installed 5MW×2h can balance the output power of a wind farm installed 49.3MW achieved through example analysis. Then the energy management strategy designed is proved to be able to control the change range of the battery SOC and distribute control tasks efficaciously, improving operational technicality and economy of the station effectively. This research provides a theoretical reference to design of energy management strategies for energy storage stations installed small at wind farms.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2866-2871

Citation:

Online since:

October 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Gibescu M., Pelgrum E. and Kling W.L. : Energy Conversion. Vol. 22(2007), p.44.

Google Scholar

[2] C.Y. Lee, G. He. Shu: Industry Applications. Vol. 47(2011), p.1461.

Google Scholar

[3] C.L. Chang. W.J. Lee and L. Wang: Industry Applications. Vol. 45(2009), p.2109.

Google Scholar

[4] Thapa S., Billinton R. : Sustainable Energy. Vol. 3(2012), p.498.

Google Scholar

[5] Z.X. Lu ; Y. Qiao. : Power Systems. Vol. 28(2013). p.236.

Google Scholar

[6] T. Zhou,B. Francois : Industrial Electronics. Vol. 58(2011). pp.95-104.

Google Scholar

[7] Gibescu M., Pelgrum E. and Kling W.L. : Energy Conversion. Vol. 22(2007), p.44.

Google Scholar

[8] G.G. Yan, X.X. Zhu and J.H. LI : Automation of Electric Power Systems(in Chinese). Vol. 37. No. 1(2013), p.110.

Google Scholar

[9] M. Ding, J.F. Wu and C.Z. Zhu: Proceedings of the CSEE(in Chinese). Vol. 33. No. 1(2013), p.22.

Google Scholar

[10] Y. Zhang, L. Guo and H.J. Jia: Automation of Electric Power Systems(in Chinese). Vol. 36. No. 6(2012), p.34.

Google Scholar

[11] D. L. Yao, S. S. Choi and K. J. Design of Short-term Dispatch Strategy to Maximize Income of a Wind Power-Energy storage Generating Station, in IEEE PES on ISGT, Nov. 13-16, 2011, Perth, WA, pp.1-8.

DOI: 10.1109/isgt-asia.2011.6257100

Google Scholar

[12] Luıs M. Costa, Jeremie Juban and George Kariniotakis. Management of Energy Storage Coordinated with Wind Power under Electricity Market Conditions, in Proceedings of the 10th International Conference on Probabilistic Methods Applied to Power Systems, May. 25-29, 2008, Rincon, pp.1-8.

Google Scholar