Intelligent and Optimized Microgrids for Future Supply Power from Renewable Energy Resources: A Review

Mohammadali Kiehbadroudinezhad, Adel Merabet, Ahmed G. Abo-Khalil, Tareq Salameh and Chaouki Ghenai
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Mohammadali Kiehbadroudinezhad: Division Engineering, Saint Mary’s University, Halifax, NS B3H 3C3, Canada
Adel Merabet: Division Engineering, Saint Mary’s University, Halifax, NS B3H 3C3, Canada
Ahmed G. Abo-Khalil: Sustainable and Renewable Energy Engineering Department, College of Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
Tareq Salameh: Sustainable and Renewable Energy Engineering Department, College of Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
Chaouki Ghenai: Sustainable and Renewable Energy Engineering Department, College of Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates

Energies, 2022, vol. 15, issue 9, 1-21

Abstract: Using renewable energy sources instead of fossil fuels is one of the best solutions to overcome greenhouse gas (GHG) emissions. However, in designing clean power generation microgrids, the economic aspects of using renewable energy technologies should be considered. Furthermore, due to the unpredictable nature of renewable energy sources, the reliability of renewable energy microgrids should also be evaluated. Optimized hybrid microgrids based on wind and solar energy can provide cost-effective power generation systems with high reliability. These microgrids can meet the power demands of the consuming units, especially in remote areas. Various techniques have been used to optimize the size of power generation systems based on renewable energy to improve efficiency, maintain reliability, improve the power grid’s resilience, and reduce system costs. Each of these techniques has shown its advantages and disadvantages in optimizing the size of hybrid renewable energy systems. To increase the share of renewable energies in electricity supply in the future and develop these new technologies further, this paper reviews the latest and most efficient techniques used to optimize green microgrids from an economical and reliable perspective to achieve a clean, economical, and highly reliable microgrid.

Keywords: wind energy; solar energy; reliability; optimization; artificial intelligence; cost analysis; hybrid microgrid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

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