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Two-Step LP Approach for Optimal Placement and Operation of EV Charging Stations
Abstract
The development of electric vehicles (EVs) has led to an increase in the number of electric vehicle charging stations (EVCSs). However, the lack of proper charging infrastructure can demote the expansion of the electric transportation fleet. In this regard, reducing the impact of EVCS on the distribution networks and choosing optimal charging operations are essential challenges. The optimal placement of an EVCS to minimize the supply cost will encourage the rapid development of the EV transportation system. This paper presents a two-step linear programming (LP) solution for the placement of EVCS with the purpose of optimal operation of an electric vehicle charging station. The charging starting time and charging time interval of each EV are modeled as uncertainty variables. A case study based on a medium-voltage CIGRE distribution network is used to perform simulations and demonstrate the proposed methodology. The numerical analysis is carried out for different charging operation modes based on the standard EV conductive charging systems, IEC 61851.
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“and voltage deviation cost (Xiang et al., 2016;Zhang et al., 2016;Faridpak et al., 2019;Moradijoz et al., 2018;Tian et al., 2018) as objective function in Eq. ( 8).”
From Optimal location of electric vehicle charging station and its impact on distribution network: A review (2022) · cites this paper as Faridpak et al., 2019
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Research works printed but not linked: 18
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Ahmad, F., Iqbal, A., Ashraf, I., Marzband, M., & khan, I. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.01.180 · Cited by 533
“Hence, the investment cost [ 40–43 ] , installation cost [ 10, 17, 38, 44 ] , operating cost [ 33, 38, 44 ] , maintenance cost, road construction cost and land cost [ 10, 14, 26 ] are considered under the CSO approach for the optimal CS location.”
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Metadata
- Authors
- Faridpak, B., Gharibeh, H. F., Farrokhifar, M., & Pozo, D.
- Affiliations
- University of Tabriz (IR)
- Sahand University of Technology (IR)
- Skolkovo Institute of Science and Technology (RU)
- Venue
- 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
- Publisher
- IEEE
- Published
- 2019-09
- Pages
- 1-5
- OpenAlex
- W2989621273
- Cited by
- 35
- References
- 0
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 7 · 2023: 5 · 2022: 7 · 2021: 4 · 2020: 5
- FWCI
- 6.37
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE PES Innovative Smart Grid Technologies Europe (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- electric vehicle charging stations, charging station location, distribution networks, linear programming, medium-voltage distribution networks, charging infrastructure
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