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CC BY V4.0, Open Access
Journal article
A Virtual Power Plant Framework for Dynamic Power Management in EV Charging Stations
World electric vehicle journal, Vol.17(1), 14
2026
Abstract
The rapid proliferation of Electric Vehicles (EVs) offers a promising pathway toward reducing greenhouse gas emissions and fostering a sustainable environment. However, the large-scale integration of EVs presents significant challenges to distribution networks, potentially increasing stress on grid infrastructure. To address these challenges, this study proposes the integration of a Virtual Power Plant (VPP) framework within EV charging stations as a novel approach to facilitate dynamic power management. The proposed framework integrates electric vehicle (EV) scheduling, battery energy storage (BES) charging, and vehicle-to-grid (V2G) support, while dynamically monitoring energy generation and consumption. This approach aims to enhance voltage regulation and minimize both EV charging durations and waiting periods. A modified IEEE 13-bus test network, equipped with six strategically placed EV charging stations, has been employed to evaluate the performance of the proposed model. Simulation results indicate that the proposed VPP-based method enables dynamic power coordination through EV scheduling, significantly improving the voltage stability margin of the distribution system and efficiently reduces charging times for EV users.
Details
- Title
- A Virtual Power Plant Framework for Dynamic Power Management in EV Charging Stations
- Authors/Creators
- Al Amin - Murdoch UniversityG. M. Shafiullah - Murdoch University, Centre for Water, Energy and WasteMd Shoeb - Murdoch University, Centre for Water, Energy and WasteS. M. Ferdous - Murdoch University, School of Engineering and Energy
- Publication Details
- World electric vehicle journal, Vol.17(1), 14
- Publisher
- MDPI
- Number of pages
- 22
- Identifiers
- 991005858493207891
- Copyright
- © 2025 by the authors.
- Murdoch Affiliation
- School of Engineering and Energy; Centre for Water, Energy and Waste
- Language
- English
- Resource Type
- Journal article
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