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A review of energy storage systems in microgrids with wind turbines


  • Rabiee, Abdorreza
  • Khorramdel, Hossein
  • Aghaei, Jamshid


Installing energy storage systems (ESS) for wind turbines power can bring many benefits to both power grids and wind power developers. Considering stochastic nature of wind, electric power generated by wind turbines is highly erratic and may affect both the power quality and the planning of power systems. ESS should play a key role in wind power applications by controlling wind power plants output and providing ancillary services to the power system, and therefore, enabling an increased penetration of wind power in the system. This article deals with the review of various storage systems for wind power applications. The main objectives of the article are the introduction of the operating principles, the presentation of the main characteristics of energy storage systems suitable for stationary applications, and the definition and discussion of potential ESS applications in wind power, according to an extensive literature review.

Suggested Citation

  • Rabiee, Abdorreza & Khorramdel, Hossein & Aghaei, Jamshid, 2013. "A review of energy storage systems in microgrids with wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 316-326.
  • Handle: RePEc:eee:rensus:v:18:y:2013:i:c:p:316-326
    DOI: 10.1016/j.rser.2012.09.039

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    References listed on IDEAS

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    Cited by:

    1. Hasan, Nor Shahida & Hassan, Mohammad Yusri & Majid, Md Shah & Rahman, Hasimah Abdul, 2013. "Review of storage schemes for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 237-247.
    2. Palizban, Omid & Kauhaniemi, Kimmo, 2015. "Hierarchical control structure in microgrids with distributed generation: Island and grid-connected mode," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 797-813.
    3. Palizban, Omid & Kauhaniemi, Kimmo & Guerrero, Josep M., 2014. "Microgrids in active network management—Part I: Hierarchical control, energy storage, virtual power plants, and market participation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 428-439.
    4. Koohi-Kamali, Sam & Tyagi, V.V. & Rahim, N.A. & Panwar, N.L. & Mokhlis, H., 2013. "Emergence of energy storage technologies as the solution for reliable operation of smart power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 135-165.
    5. Ma, Tao & Yang, Hongxing & Lu, Lin & Peng, Jinqing, 2015. "Pumped storage-based standalone photovoltaic power generation system: Modeling and techno-economic optimization," Applied Energy, Elsevier, vol. 137(C), pages 649-659.
    6. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    7. Yanine, Franco F. & Sauma, Enzo E., 2013. "Review of grid-tie micro-generation systems without energy storage: Towards a new approach to sustainable hybrid energy systems linked to energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 60-95.
    8. Nasiri, M. & Milimonfared, J. & Fathi, S.H., 2015. "A review of low-voltage ride-through enhancement methods for permanent magnet synchronous generator based wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 399-415.
    9. repec:eee:appene:v:212:y:2018:i:c:p:84-108 is not listed on IDEAS
    10. Howlader, Abdul Motin & Urasaki, Naomitsu & Yona, Atsushi & Senjyu, Tomonobu & Saber, Ahmed Yousuf, 2013. "A review of output power smoothing methods for wind energy conversion systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 135-146.
    11. Karabacak, Kerim & Cetin, Numan, 2014. "Artificial neural networks for controlling wind–PV power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 804-827.
    12. Jannati, M. & Hosseinian, S.H. & Vahidi, B. & Li, Guo-Jie, 2014. "A survey on energy storage resources configurations in order to propose an optimum configuration for smoothing fluctuations of future large wind power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 158-172.


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