LAPSE:2023.3414
Published Article
LAPSE:2023.3414
Smart Grid Communication Networks for Electric Vehicles Empowering Distributed Energy Generation: Constraints, Challenges, and Recommendations
February 22, 2023
Abstract
Modern communication networks and digital control techniques are used in a smart grid. The first step is to classify the features of several communication networks and conduct a comparative investigation of the communication networks applicable to the smart grid. The integration of distributed generation has significantly increased as the global energy demand rises, and sustainable energy for electric vehicles and renewable energies worldwide are being pursued. Additional explanations for this surge include environmental concerns, the reforming of the power sector, and the advancing of small-scale electricity generation technologies. Smart monitoring and control of interconnected systems are required to successfully integrate distributed generation into an existing conventional power system. Electric-vehicles-based smart grid technologies are capable of playing this part. Smart grids are crucial to avoid becoming locked in an obsolete energy infrastructure and to draw in new investment sources and build an effective and adaptable grid system. To achieve reliability and high-quality power systems, it is also necessary to apply intelligent grid technologies at the bulk power generation and transmission levels. This paper presents smart grid applicable communication networks and electric vehicles empowering distributed generation systems. Additionally, we address some constraints and challenges and make recommendations that will give proper guidelines for academicians and researchers to resolve the current issues.
Keywords
communication network, distribution generation, electrical vehicle, EV empowering, smart grid
Suggested Citation
Hasan MK, Habib AA, Islam S, Balfaqih M, Alfawaz KM, Singh D. Smart Grid Communication Networks for Electric Vehicles Empowering Distributed Energy Generation: Constraints, Challenges, and Recommendations. (2023). LAPSE:2023.3414
Author Affiliations
Hasan MK: Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia [ORCID]
Habib AA: Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia [ORCID]
Islam S: Institute of Computer Science and Digital Innovation, UCSI University Malaysia, Kuala Lumpur 56000, Selangor, Malaysia
Balfaqih M: Department of Computer and Networks Engineering, University of Jeddah, Jeddah 23218, Saudi Arabia [ORCID]
Alfawaz KM: Management Information System Department, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Singh D: Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia [ORCID]
Journal Name
Energies
Volume
16
Issue
3
First Page
1140
Year
2023
Publication Date
2023-01-20
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16031140, Publication Type: Review
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LAPSE:2023.3414
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https://doi.org/10.3390/en16031140
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Feb 22, 2023
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