Advanced Solutions for the Efficient Integration of Electric Vehicles in Electricity Grids: 2nd Edition
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: 15 April 2025 | Viewed by 53
Special Issue Editors
Interests: EV management systems and techniques for their efficient integration in electricity grids; multi-agent energy systems; distributed optimization and control; optimal battery storage management at consumer/grid/utility scale; hybrid RES/storage planning and management
Special Issues, Collections and Topics in MDPI journals
Interests: smart grids; smart buildings; smart mobility; optimization and control methods
Special Issues, Collections and Topics in MDPI journals
Interests: e-mobility (conductive and inductive charging of electric vehicles); demand-response services and issues concerning the electricity market in non-interconnected islands
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The decarbonisation of road transport and its efficient integration into the electricity grid is one of the cornerstones of energy transition. The electrification of the transport sector serves two objectives: (1) to reduce the reliance of the transport sector on fossil fuels and (2) to reduce vehicle greenhouse gas (GHG) emissions by using environmentally friendly energy sources to meet the EV charging demand. Moreover, electric vehicles (EVs) are increasingly being recognized as valuable distributed energy resources. Their integration into diverse systems, such as power grids, residential homes, and commercial buildings, to enable energy exchange has become a key strategy for addressing the energy crisis and promoting carbon neutrality.
The EV fleet becomes an increasingly important factor for power systems as new grid planning and operational challenges are raised for system operators due to their dynamic spatiotemporal charging behaviour. The challenge for system operators is not only the extra energy demand, but also the simultaneous power demand at the distribution level. Indicatively, the EV charging demand can double the yearly electricity consumption of a household, but the critical issue is that the EV (peak) power demand can be increased by five times when considering the synchronised home charging of an EV fleet at the neighbourhood level. This additional EV demand can provoke network operational issues (overloading or voltage excursions) in the existing grid infrastructure, which would require costly grid reinforcements.
The storage capacity of the battery of electric vehicles is partially exploited for daily use. The idle battery capacity can be exploited by the system/market operators or any other energy stakeholder to support the operation of the electricity grid at all voltage levels. Exploiting the full battery capacity by also considering the bidirectional power flow between the vehicle and the electricity grid will maximise the benefits for both the EV users and the electricity grid. Since the battery capacity of an individual EV is limited to offer ancillary services to the energy stakeholders, advanced (spatiotemporal) aggregation methods should be developed. The provision of ancillary services requires the development of the respective market concepts and management schemes. In addition, distributed approaches must be investigated in order to offer decentralised solutions for the charging and routing management of large EV fleets.
The scope of this Special Issue is to present advanced EV charging and management solutions, enabling the efficient integration of electric vehicles in the electricity grids at all grid levels under a mass deployment scenario. This Special Issue invites contributions detailing cutting-edge research in EV charging technology including vehicle-to-vehicle (V2V) communication and vehicle-to-everything (V2X) integration. We encourage scholars to explore these developments using the latest methodologies, such as machine learning and artificial intelligence, and to submit their findings for publication in this Special Issue.
We hope you can join us in this Special Issue by contributing original research papers and unpublished work not currently under review by any other journal/magazine/conference. Emerging charging technologies like battery swapping stations and wireless charging can further facilitate the charging process while offering invaluable grid services.
Potential topics include (but are not limited to):
- Stochastic modelling of the expected grid impact of EV deployment;
- Steady-state and dynamic impact analysis of the large-scale integration of EVs in electricity grids;
- Enhanced network planning tools considering EV flexibility and V2G services;
- Efficient charging technologies enabling the provision of ancillary services to the electricity grid or energy markets;
- Advanced spatiotemporal management concepts for offering grid ancillary services;
- Large-scale EV coordination schemes for offering market ancillary services;
- Innovative local market models enabling vehicle-to-grid services;
- Distributed or centralised EV coordination schemes;
- EV/RES/storage synergy schemes;
- Dynamic EV control for frequency support.
Dr. Evangelos Karfopoulos
Dr. Michele Roccotelli
Dr. Ioannis Karakitsios
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- electric vehicles
- smart energy management
- grid-integrated vehicles
- vehicle to grid (V2G)
- vehicle to home (V2H)
- EV market participation
- ancillary services
- distributed coordination
- EV demand forecast
- large-scale coordination
- frequency support
- voltage support
- EV/RES synergies
- EV/storage synergies
- microgrid
- EV aggregator
- EV dynamic clustering
- EV charging optimisation
- vehicle to vehicle (V2V)
- vehicle to everything (V2X)
- wireless charging
- battery swapping
- AI technology
- machine learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
