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Battery energy storage system state-of-charge management to ensure availability of frequency regulating services from wind farms

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  • Boyle, James
  • Littler, Timothy
  • Foley, Aoife

Abstract

State of charge management in battery energy storage systems will be imperative to ensure that frequency regulating services can be provided when required. Two state of charge controllers are proposed as a comparison analysis in this research. One controller was designed to meet the charge/discharge requirements imposed on assets providing enhanced frequency response. This controller makes small corrective changes to the battery’s power output to restore nominal charge. Simulation results show that the controller is effective at restoring nominal charge when the deviation from nominal is small. However, when the charge is significantly high or low, operating within the confines of the enhanced frequency response service envelope will lead to long periods where the charge is above or below nominal. This will reduce the availability of frequency regulating services from the system. A second controller is proposed to accelerate the restoration of nominal charge. This controller is intended for use in wind farms that have an integrated battery energy storage system, whereby hybrid dispatch control can be employed. The objective of hybrid control is to create a power exchange between the wind turbine and battery system to accelerate nominal charge restoration, without significantly impacting system frequency and the wind farm’s output.

Suggested Citation

  • Boyle, James & Littler, Timothy & Foley, Aoife, 2020. "Battery energy storage system state-of-charge management to ensure availability of frequency regulating services from wind farms," Renewable Energy, Elsevier, vol. 160(C), pages 1119-1135.
    • Handle: RePEc:eee:renene:v:160:y:2020:i:c:p:1119-1135
    DOI: 10.1016/j.renene.2020.06.025
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    1. Foley, A.M. & Ó Gallachóir, B.P. & McKeogh, E.J. & Milborrow, D. & Leahy, P.G., 2013. "Addressing the technical and market challenges to high wind power integration in Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 692-703.
    2. Zhao, Haoran & Wu, Qiuwei & Hu, Shuju & Xu, Honghua & Rasmussen, Claus Nygaard, 2015. "Review of energy storage system for wind power integration support," Applied Energy, Elsevier, vol. 137(C), pages 545-553.
    3. Al kez, Dlzar & Foley, Aoife M. & McIlwaine, Neil & Morrow, D. John & Hayes, Barry P. & Zehir, M. Alparslan & Mehigan, Laura & Papari, Behnaz & Edrington, Chris S. & Baran, Mesut, 2020. "A critical evaluation of grid stability and codes, energy storage and smart loads in power systems with wind generation," Energy, Elsevier, vol. 205(C).
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    Cited by:

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    9. Bhandari, Ramchandra & Shah, Ronak Rakesh, 2021. "Hydrogen as energy carrier: Techno-economic assessment of decentralized hydrogen production in Germany," Renewable Energy, Elsevier, vol. 177(C), pages 915-931.

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