Research on Virtual Power Plant Resource Aggregation Considering Fast and Slow Charging of Electric Vehicles

With the increasing popularity of electric vehicles (EV s)., effectively integrating resources in virtual power plants (VPPs) under different charging modes to enhance grid stability and economic benefits has become a research focus. Considering the distribution characteristics., operational attributes., and adjustable features of EV s under fast-charging and slow-charging modes., the overall daily load curve of EV s can be derived for various charging scenarios. By determining the controllable capacity of EV s and the corresponding V2G (Vehicle-to-Grid) and G2V (Grid-to-Vehicle) power., and verifying the tracking performance of EV s to grid load signals through capacity regulation evaluation (CRE) coefficients., it becomes possible to design optimized charging and discharging scheduling strategies. This approach improves the efficiency and economic performance of coordinated EV and grid operation.

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Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1109/iceaai64185.2025.10956804
Primary Topic
Electric Vehicles and Infrastructure
Type
article
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article

Research on Virtual Power Plant Resource Aggregation Considering Fast and Slow Charging of Electric Vehicles

Li Lan, Ran Lyu, Yuan‐Chao Hu, Chen Fu et al.
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Electric Vehicles and Infrastructure
article

Research on Virtual Power Plant Resource Aggregation Considering Fast and Slow Charging of Electric Vehicles

Li Lan, Ran Lyu, Yuan‐Chao Hu, Chen Fu, Mingxing Guo, Yanyuan Qian
article en

Abstract

With the increasing popularity of electric vehicles (EV s)., effectively integrating resources in virtual power plants (VPPs) under different charging modes to enhance grid stability and economic benefits has become a research focus. Considering the distribution characteristics., operational attributes., and adjustable features of EV s under fast-charging and slow-charging modes., the overall daily load curve of EV s can be derived for various charging scenarios. By determining the controllable capacity of EV s and the corresponding V2G (Vehicle-to-Grid) and G2V (Grid-to-Vehicle) power., and verifying the tracking performance of EV s to grid load signals through capacity regulation evaluation (CRE) coefficients., it becomes possible to design optimized charging and discharging scheduling strategies. This approach improves the efficiency and economic performance of coordinated EV and grid operation.

Shanghai Electric (China) (CN), Southeast University (CN)
Openalex Percentile: Top 94%
Electric Vehicles and Infrastructure
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