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Wind energy management with battery storage

Author

Listed:
  • L Zhang

    (The University of Melbourne)

  • A Wirth

    (The University of Melbourne)

Abstract

This article considers short-term energy management of a wind power plant with battery storage, in order to smooth the variations of power output to the external grid. An optimal online heuristic is developed for a control environment, in which decision making is independent of wind historical data and forecasts.

Suggested Citation

  • L Zhang & A Wirth, 2010. "Wind energy management with battery storage," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(10), pages 1510-1522, October.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:10:d:10.1057_jors.2009.98
    DOI: 10.1057/jors.2009.98
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    References listed on IDEAS

    as
    1. Andreas T. Ernst & Gaurav Singh, 2008. "Taming Wind Energy with Battery Storage," Operations Research Proceedings, in: Jörg Kalcsics & Stefan Nickel (ed.), Operations Research Proceedings 2007, pages 199-204, Springer.
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    Cited by:

    1. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    2. Dylan F. Jones & Graham Wall, 2016. "An extended goal programming model for site selection in the offshore wind farm sector," Annals of Operations Research, Springer, vol. 245(1), pages 121-135, October.
    3. Iris, Çağatay & Lam, Jasmine Siu Lee, 2021. "Optimal energy management and operations planning in seaports with smart grid while harnessing renewable energy under uncertainty," Omega, Elsevier, vol. 103(C).
    4. Weitzel, Timm & Glock, Christoph H., 2018. "Energy management for stationary electric energy storage systems: A systematic literature review," European Journal of Operational Research, Elsevier, vol. 264(2), pages 582-606.

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