Characteristics and effect laws of the large-scale electric Vehicle’s charging load
Open accessAbstract
The impact of large-scale electric vehicle (EV) charging load on grids has become a hot issue all over the world, which is a strong random process with a variety of factors intertwined, and raises a major problem in research. Therefore, the article presents a decoupling analysis method which studies charging load and normal load independently and then carries out an integrated analysis with the power grid. Firstly, we calculate the average, maximum, minimum, fluctuating power of charging load and their parameters by Monte Carlo method, and get the function laws of vehicle scale and charging power on them. After that, in a scene of large penetration rate, it analyzes the influence of EV on the grid at all levels, and determines the possibility of main problems. By using this method, some conclusions are obtained. The method and the basic laws gained in this paper are universal, and can provide support for the future research of EV’s charging load.
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Connecting single-phase or three-phase EVs on the distribution network causes violations of various performance limits including thermal limits and transformer overload due to increased demand, harmonics, voltage magnitude, and voltage unbalance.
“Moreover, connecting single-phase or three-phase EVs on the distribution network causes violations of various performance limits including thermal limits and transformer overload due to increased demand, harmonics, voltage magnitude, and voltage unbalance [2,137,138].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [138]
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Gonzalez Venegas, F., Petit, M., & Perez, Y. (2021) · eTransportation · doi:10.1016/j.etran.2021.100131 · Cited by 87 · see citing works
Umoh, V., Davidson, I., Adebiyi, A., & Ekpe, U. (2023) · Energies · doi:10.3390/en16083609 · Cited by 71 · see citing works
- Authors
- Guo, C., Zhu, K., Chen, C., & Xiao, X.
- Affiliations
- North China Electric Power University (CN)
- Corresponding author
- Guo, Chunlin
- Venue
- eTransportation
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 3
- Pages
- 100049
- ISSN
- 2590-1168 (ISSN-L)
- OpenAlex
- W3006167598
- Cited by
- 38
- References
- 0
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 9 · 2023: 9 · 2022: 6 · 2021: 5 · 2020: 1
- FWCI
- 1.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- eTransportation (publishedVersion, cc-by-nc-nd)
- Funders
- National High-tech Research and Development Program
- State Grid Corporation of China
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- electric vehicle charging load, grid impact, charging power, vehicle penetration rate, decoupling analysis, Monte Carlo simulation, grid integration
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