Cited by 2,847Electric Vehicles and InfrastructureSmart Grid Energy ManagementOptimal Power Flow Distribution

The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid

Open access
Clement-Nyns, K., Haesen, E., Driesen, J.·2010·IEEE Transactions on Power Systems

Abstract

Alternative vehicles, such as plug-in hybrid electric vehicles, are becoming more popular. The batteries of these plug-in hybrid electric vehicles are to be charged at home from a standard outlet or on a corporate car park. These extra electrical loads have an impact on the distribution grid which is analyzed in terms of power losses and voltage deviations. Without coordination of the charging, the vehicles are charged instantaneously when they are plugged in or after a fixed start delay. This uncoordinated power consumption on a local scale can lead to grid problems. Therefore, coordinated charging is proposed to minimize the power losses and to maximize the main grid load factor. The optimal charging profile of the plug-in hybrid electric vehicles is computed by minimizing the power losses. As the exact forecasting of household loads is not possible, stochastic programming is introduced. Two main techniques are analyzed: quadratic and dynamic programming.

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Registry

Crossref · 10.1109/tpwrs.2009.2036481

Cites

15 of 15 references verified0 citation errors · 0 not checkable

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  • Unmanaged EV charging leads to a 30% increase in peak demand, which further burdens transformers and feeder lines.

    “As shown in Fig. 5, unmanaged EV charging leads to a 30% increase in peak demand, which further burdens transformers and feeder lines [17].”

    From Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview (2026) · cites this paper as [17]

    Section VI (page not available) supports the claim that uncoordinated PHEV charging increases grid loads and can require transformer and feeder upgrades. It does not report a 30% increase in peak demand: 30% is the modeled PHEV penetration, under which the stated maximum load rises from 69 to 108 kVA—about 57%. (LLM, conf=0.90)

    Experimental — accuracy not yet measured
  • The sudden pulse-like and high charging load of charging stations strains the distribution grid because of random and relatively high EV charging power.

    “However, due to the random and relatively high EV charging power [2], the sudden pulse-like and high charging load of the charging stations strains the distribution grid [3].”

    From Distributed Coordination of Charging Stations Considering Aggregate EV Power Flexibility (2023) · cites this paper as [3]

    Section VI, “Impact on the Distribution Grid” (page unavailable), says uncoordinated PHEV charging increases loads and voltage drops and affects grid performance. But “Charging Periods” (page unavailable) focuses on charging at home on residential grids; the copy does not establish a sudden, pulse-like load from charging stations. The separate statement about random and relatively high EV charging power is attached to [2], not this source. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • As the electrification of the transport sector is expected to be intensified in the future, significant challenges to the integration of large EV fleets may occur.

    “however, as the electri fi cation of the transport sector is expected to be intensi fi ed in the future, signi fi cant challenges to the integration of large EV fl eets may occur [74,75].”
  • The distribution of EVs in residential areas is increasing localized overloading.

    “It is observed that the distribution of EVs in the residential area is increasing the localized overloading [17].”
  • Uncontrolled charging of EV load has the potential to severely affect the normal operation of the grid.

    “It is evident from the literature [59][60][61][62] that the uncontrolled charging of EV load has the potential to severely affect the normal operation of the grid.”

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Authors
Clement-Nyns, K., Haesen, E., & Driesen, J.
Affiliations
KU Leuven (BE)
Venue
IEEE Transactions on Power Systems
Published
2010-02
Volume
25
Issue
1
Pages
371-380
ISSN
  • 0885-8950 (ISSN-L)
  • 1558-0679
OpenAlex
W2135797872
Cited by
2,847
References
15
Citations by year
2026: 110 · 2025: 94 · 2024: 125 · 2023: 147 · 2022: 140 · 2021: 210 · 2020: 194 · 2019: 217 · 2018: 205 · 2017: 217 · 2016: 223 · 2015: 226 · 2014: 270 · 2013: 198 · 2012: 166
FWCI
71.32
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Power Systems (publishedVersion)
  • Lirias (KU Leuven) (submittedVersion, other-oa)
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 › Optimal Power Flow Distribution
Keywords
plug-in hybrid electric vehicles, coordinated charging, power losses, voltage deviation, load factor, stochastic programming, quadratic programming, dynamic programming

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