LAPSE:2024.0934
Published Article
LAPSE:2024.0934
A Comprehensive Review of Microgrid Energy Management Strategies Considering Electric Vehicles, Energy Storage Systems, and AI Techniques
June 7, 2024
Abstract
The relentlessly depleting fossil-fuel-based energy resources worldwide have forbidden an imminent energy crisis that could severely impact the general population. This dire situation calls for the immediate exploitation of renewable energy resources to redress the balance between power consumption and generation. This manuscript confers about energy management tactics to optimize the methods of power production and consumption. Furthermore, this paper also discusses the solutions to enhance the reliability of the electrical power system. In order to elucidate the enhanced reliability of the electrical system, microgrids consisting of different energy resources, load types, and optimization techniques are comprehensively analyzed to explore the significance of energy management systems (EMSs) and demand response strategies. Subsequently, this paper discusses the role of EMS for the proper consumption of electrical power considering the advent of electric vehicles (EVs) in the energy market. The main reason to integrate EVs is the growing hazards of climate change due to carbon emissions. Moreover, this paper sheds light on the growing importance of artificial intelligence (AI) in the technological realm and its incorporation into electrical systems with the notion of strengthening existing smart grid technologies and to handle the uncertainties in load management. This paper also delineates the different methodologies to effectively mitigate the probability of facing cyber-attacks and to make the smart grids invulnerable.
Keywords
Artificial Intelligence, demand-side management, electric vehicles, energy storage system, microgrid, optimization algorithms, renewable energy resources, smart grid
Suggested Citation
Khan MR, Haider ZM, Malik FH, Almasoudi FM, Alatawi KSS, Bhutta MS. A Comprehensive Review of Microgrid Energy Management Strategies Considering Electric Vehicles, Energy Storage Systems, and AI Techniques. (2024). LAPSE:2024.0934
Author Affiliations
Khan MR: Department of Electrical Engineering, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan
Haider ZM: Department of Electrical Engineering, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan [ORCID]
Malik FH: Department of Electromechanical Engineering, Abu Dhabi Polytechnic, Abu Dhabi 13232, United Arab Emirates [ORCID]
Almasoudi FM: Department of Electrical Engineering, Faculty of Engineering, University of Tabuk, Tabuk 47913, Saudi Arabia [ORCID]
Alatawi KSS: Department of Electrical Engineering, Faculty of Engineering, University of Tabuk, Tabuk 47913, Saudi Arabia [ORCID]
Bhutta MS: School of Automobile Engineering, Guilin University of Aerospace Technology, Guilin 541004, China [ORCID]
Journal Name
Processes
Volume
12
Issue
2
First Page
270
Year
2024
Publication Date
2024-01-26
ISSN
2227-9717
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Original Submission
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PII: pr12020270, Publication Type: Review
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LAPSE:2024.0934
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https://doi.org/10.3390/pr12020270
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