Advanced Optimization Strategy of Electric Vehicle and Smart Grids
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: 24 September 2024 | Viewed by 219
Special Issue Editors
Interests: electric machines, power converters and electric drives, electric vehicles, power systems, reliability, cybersecurity
Interests: electromagnetic field computation; magnetic levitation; nonlinear circuits; measurement and interpretation of power quality parameters for low-voltage consumers that operates in distorted and/or unbalanced states
Special Issues, Collections and Topics in MDPI journals
Interests: power electronics; electrical machines and drives; electromagnetic field computation; non-destructive testing; flaw shape reconstruction; research in thermal field computation and radio frequency heating; electromagnetic field inverse problem computation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Journal is pleased to announce a call for papers for a special issue on "Advanced Optimization Strategy of Electric Vehicle and Smart Grid." This special issue aims to explore the emerging field of advanced optimization techniques and strategies in the context of electric vehicles (EVs) and smart grids. We invite researchers, academics, and industry experts to contribute their original research and insights to enhance our understanding and address the challenges in optimizing the integration and operation of EVs and smart grids.
Topics of interest include, but are not limited to:
- Advanced optimization algorithms for EV charging and discharging scheduling.
- Intelligent energy management systems for EVs and smart grids.
- Optimal resource allocation and demand response in EV-grid integration.
- Grid-friendly charging strategies for large-scale EV penetration.
- Optimization of power flow and energy storage in EV charging infrastructure.
- Vehicle-to-Grid (V2G) optimization and control strategies.
- Multi-objective optimization for EV fleet management and grid stability.
- Optimization of renewable energy integration and EV charging infrastructure.
- Energy trading and market mechanisms for EV and smart grid interaction.
- Optimization models for EV routing, range estimation, and energy consumption.
- Data analytics and machine learning approaches for EV and smart grid optimization.
- Cybersecurity and privacy considerations in optimized EV-grid systems.
Dr. Sorin Deleanu
Prof. Dr. Emil Cazacu
Prof. Dr. Marilena Stanculescu
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 grids
- optimization algorithms
- charging and discharging
- power flow
- energy storage
- renewable energy
- data analytics
- machine learning
