Towards a Sustainable Future: The Role of Electric Vehicles and Smart Grids in the Energy Transition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: closed (10 June 2024) | Viewed by 266330

Special Issue Editors
Interests: IoT-enabled smart grids; demand response programs (DRPs); energy markets; electric vehicle (EV) integration; GHGs reduction; AI & machine learning techniques
Special Issues, Collections and Topics in MDPI journals
2. Department of Electrical Engineering, University of Engineering and Technology, Taxila 47050, Pakistan
Interests: smart grids; demand response; microgrids; distributed generations; AI & machine learning techniques in power system
Special Issues, Collections and Topics in MDPI journals
Interests: coordination control strategies; virtual synchronous generators (VSGs); control of renewable energy sources (RESs), adaptive control techniques, and data-driven (artificial intelligence and machine learning) control techniques in power systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of electric vehicles (EVs) and smart grids has the potential to revolutionize the way we produce, distribute, and consume energy. This Special Issue of the Journal of Applied Sciences on "Towards a Sustainable Future: The Role of Electric Vehicles and Smart Grids in the Energy Transition" aims to bring together the latest research and developments in the field, with a particular focus on addressing the green challenges of our energy system. The topics covered in this Special Issue include, but are not limited to:
- Grid integration and management of renewable energy sources;
- Battery technology and charging infrastructure;
- Vehicle-to-grid (V2G), vehicle-to-home (V2H), and vehicle-to-vehicle (V2V) technologies;
- Smart mobility and electrified transportation systems;
- Energy policy and regulation of EVs in smart grids;
- Cybersecurity challenges for EVs integration in smart grids;
- Standards and interoperability of EV infrastructure systems.
Grid integration and the management of renewable energy sources are critical topics for addressing the challenge of the intermittency of renewable energy sources such as solar and wind. Battery technology and charging infrastructure are key components of EVs, and research in this area focuses on improving their performance, reliability, and safety. Vehicle-to-grid (V2G) technologies allow a bi-directional power flow between EVs and the smart grid, enabling new business models and revenue streams for EV owners. Smart mobility and transportation systems aim to optimize the use of EVs and public transportation, reducing traffic congestion and improving air quality in urban areas. Energy policy and the regulation of EVs in smart grids are critical topics for successfully integrating EVs into the energy system. Cybersecurity challenges for EVs integration in smart grids cannot be ignored as EVs become more connected and integrated with the smart grid. The standards and interoperability of EV infrastructure systems aim to provide a unified framework for the seamless integration of EVs and smart grids.
The Special Issue invites original research articles, review papers, and short communications presenting state-of-the-art research, new methodologies, and innovative solutions to advance the field. All submissions will undergo a rigorous peer-review process to ensure the quality and relevance of the research presented. We expect this Special Issue to become a valuable resource for researchers, engineers, and practitioners to share their latest findings and contribute to advancing the field.
Dr. Arman Goudarzi
Dr. Muhammad Waseem
Dr. Shah Fahad
Guest Editors
Manuscript Submission Information
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Keywords
- V2X (V2G, V2H, and V2V) systems
- application of power electronics in EV integration
- demand response and energy management
- cybersecurity strategies in EV ecosystem
- EV charging infrastructure and network planning
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