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Hybrid renewable microgrid optimization techniques: A review

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  • Dawoud, Samir M.
  • Lin, Xiangning
  • Okba, Merfat I.

Abstract

Power resulted form solar photo voltaic and wind turbine generators are reliant on the climate variations. Both the wind and solar systems are non-reliable if there are insufficient capacity storage units like storage batteries or backup units like diesel generators. The microgrids reliability increases when both systems (wind turbine and photo voltaic) are combined with the storage devices. The sufficient storage batteries bank capacity are needed to feed the load demands with power in cloudy and non-windy days. So the optimal placing of the components assigns to the required parts of hybrid microgrid. Also, this study reviews new ways of energy practice of hybrid sources. It presents the physical modelling of the renewable energy resources with numerous methodologies and principles of the optimization for the hybrid networks. Additionally, the hybrid sources are gaining popular and fame in the environmental crises and current scenario of energies. Based on this study, it has introduced a global survey on the present condition of optimization techniques especially that related to the isolated microgrid in the presented literature. The current trend of optimization for hybrid renewable sources demonstrations that artificial intelligence provides worthy optimization for the microgrid operations without an extensive long-term weather data.

Suggested Citation

  • Dawoud, Samir M. & Lin, Xiangning & Okba, Merfat I., 2018. "Hybrid renewable microgrid optimization techniques: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2039-2052.
    • Handle: RePEc:eee:rensus:v:82:y:2018:i:p3:p:2039-2052
    DOI: 10.1016/j.rser.2017.08.007
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