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A survey on energy storage resources configurations in order to propose an optimum configuration for smoothing fluctuations of future large wind power plants

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  • Jannati, M.
  • Hosseinian, S.H.
  • Vahidi, B.
  • Li, Guo-Jie

Abstract

As the wind power capacity increases, the effect of wind power fluctuations on the system stability becomes more significant. Despite its high costs, utilizing energy storage resources such as batteries is inevitable in the smoothing process of wind power fluctuations. In a wind power plant, the place where batteries are located has considerable direct effect on their required capacity and thus on the initial investment cost. Therefore, in this paper a suitable configuration which significantly reduces the batteries investment cost is proposed and then the wind power fluctuation of a large wind power plant connected to a smart distribution grid is smoothed. Additionally, existing configurations for installing batteries in large wind power plants are investigated. The proposed configuration utilizes smart parks as aggregated storage resources in load side and an aggregated battery energy storage system with limited capacity in plant side as well. Therefore, in addition to accurate smoothing of wind power fluctuations, the energy storage investment cost is reduced significantly utilizing the proposed configuration. Simulation studies in MATLAB software package are carried out to verify the performance of the proposed approach.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:rensus:v:29:y:2014:i:c:p:158-172
    DOI: 10.1016/j.rser.2013.08.086
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    Cited by:

    1. Nicolau K. L. Dantas & Amanda C. M. Souza & Andrea S. M. Vasconcelos & Washington de A. S. Junior & Guilherme Rissi & Celso Dall’Orto & Alexandre M. A. Maciel & José F. C. Castro & Yang Liu & Pedro Ro, 2022. "Impact Analysis of a Battery Energy Storage System Connected in Parallel to a Wind Farm," Energies, MDPI, vol. 15(13), pages 1-16, June.
    2. Barelli, L. & Desideri, U. & Ottaviano, A., 2015. "Challenges in load balance due to renewable energy sources penetration: The possible role of energy storage technologies relative to the Italian case," Energy, Elsevier, vol. 93(P1), pages 393-405.
    3. Barra, P.H.A. & de Carvalho, W.C. & Menezes, T.S. & Fernandes, R.A.S. & Coury, D.V., 2021. "A review on wind power smoothing using high-power energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    4. Tsai, Yu-Ching & Chiu, Chih-Pin & Ko, Fu-Kuang & Chen, Tzong-Chyuan & Yang, Jing-Tang, 2016. "Desalination plants and renewables combined to solve power and water issues," Energy, Elsevier, vol. 113(C), pages 1018-1030.
    5. Jannati, M. & Hosseinian, S.H. & Vahidi, B. & Li, Guo-jie., 2016. "A significant reduction in the costs of battery energy storage systems by use of smart parking lots in the power fluctuation smoothing process of the wind farms," Renewable Energy, Elsevier, vol. 87(P1), pages 1-14.
    6. Jannati, M. & Hosseinian, S.H. & Vahidi, B. & Li, Guo-jie, 2016. "ADALINE (ADAptive Linear NEuron)-based coordinated control for wind power fluctuations smoothing with reduced BESS (battery energy storage system) capacity," Energy, Elsevier, vol. 101(C), pages 1-8.
    7. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2016. "Comprehensive overview of grid interfaced wind energy generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 260-281.

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