Power Quality Improvement Using Power Converters Powered by V2G Vehicles Charging Stations
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: 6 June 2025 | Viewed by 23660
Special Issue Editor
Interests: multi-level inverter; high gain converter; multi-onput multi-output converter; bidirectional DC-DC converter for electric vehicle application; IoT based electric drives
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Grid-interactive renewable energy sources (RES) and electric vehicle (EV) systems are emerging technologies today, owing to lower energy costs and lower emission levels. Various research surveys have presented the effect of RES and EV grid integration in isolation. However, it is worth noting that, as RES and EVs continue to proliferate, the power grid is experiencing the combined effect of RES-EV integration. The EV distribution system network has an impact on the grid's power quality. The shunt active power filter is modelled using the popular neuro-fuzzy control technique for harmonic mitigation. The system performance improvement is analysed and compared to traditional compensation techniques. This special issue encourages researchers to share new developments and potential solutions addressing the aforementioned and other related topics in order to maximize the potential of these emerging technologies. Over the last decade, there has been a surge in interest in power quality. This paper investigates the writing for current applications of advanced artificial intelligence techniques in power quality (PQ). There is a substantial body of literature covering applications of fuzzy logic, expert systems, neural networks, and genetic algorithms in power quality. This special issue aims to encourage researchers to share new developments and potential solutions addressing the aforementioned and other related topics aiming to make the most out of these emerging technologies like ANN based power quality improvement in RES systems, State of the art literature on deep learning technologies and all other control aspects in power converters powered by V2G charging infrastructure. Further, review articles and survey papers on modern trends in the various fields will also be permitted.
Dr. Dhanamjayulu Chittathuru
Guest Editor
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Keywords
- grid-tied multilevel inverters
- renewable energy
- reinforcement learning
- electric vehicle charging
- grid connected EVs
- integration of RES to electric vehicles and grid
- convolutions neural networks
- BMS for EV applications
- artificial intelligence
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