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Artificial Neural Network power manager for hybrid PV-wind desalination system

Author

Listed:
  • Charrouf, O.
  • Betka, A.
  • Abdeddaim, S.
  • Ghamri, A.

Abstract

In this paper, Artificial Neural Network (ANN) power management for a reverse osmosis desalination unit fed by hybrid renewable energy sources solar PV and wind turbine associated to battery bank as storage element is studied. The ANN power management system has as main objective to ensure the smooth transfer of the generated power by these sources under the variability and intermittency of the wind speed and the irradiation during 24 h of operation considering the limitation constraints of the RO unit and the need water profile. The design, the modeling and the control strategies of all the components are made in this study using Matlab/Simulink. The results show the ability of the ANN power manager to define the operating modes based on the proposed flow chart.

Suggested Citation

  • Charrouf, O. & Betka, A. & Abdeddaim, S. & Ghamri, A., 2020. "Artificial Neural Network power manager for hybrid PV-wind desalination system," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 167(C), pages 443-460.
    • Handle: RePEc:eee:matcom:v:167:y:2020:i:c:p:443-460
    DOI: 10.1016/j.matcom.2019.09.005
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    Cited by:

    1. Han, Yixiao & Liao, Yanfen & Ma, Xiaoqian & Guo, Xing & Li, Changxin & Liu, Xinyu, 2023. "Analysis and prediction of the penetration of renewable energy in power systems using artificial neural network," Renewable Energy, Elsevier, vol. 215(C).
    2. Ghahramani, Mehrdad & Nazari-Heris, Morteza & Zare, Kazem & Mohammadi-Ivatloo, Behnam, 2022. "A two-point estimate approach for energy management of multi-carrier energy systems incorporating demand response programs," Energy, Elsevier, vol. 249(C).

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