The DOI matches its Crossref record.
Modelling and verifying the load behaviour of electric vehicle charging stations based on field measurements
Abstract
This study measures the long‐term electric energy data of an electric vehicle (EV) charging station, and uses these field measurements to analyse and construct the load behaviour model of an EV charging station. According to the statistics of field measurements, the state of charge of EV battery pack at the start of charging and the number of EVs starting charging in each time interval can be modelled using Poisson distribution, Roulette wheel selection and uniform distribution. The load behaviour of an EV charging station can be modelled and analysed accordingly. To validate the accuracy of the proposed load behaviour model, a portion of field measurements is reserved for load behaviour model verification. The proposed load behaviour model can also be used to analyse the impacts of EV charging stations on distribution systems. Test results show that the load behaviour model proposed in this study has higher accuracy and the impacts of EV charging stations on distribution systems can be analysed more effectively and precisely.
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Initial state of charge is related to traveled distance by SOC_init,e = 1 - dist_trav,e / d_max.
“Initial state of charge (SOC init ) is related to traveled distance as [22]:”
From Optimal placement of electric vehicle charging stations in the active distribution network (2020) · cites this paper as [22]
Citations
Cites
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Research works printed but not linked: 23
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Cited by
Sorted by citations
Optimal placement of electric vehicle charging stations in the active distribution network
Zeb, M. Z., Imran, K., Khattak, A., Janjua, A. K., Pal, A., Nadeem, M., Zhang, J., & Khan, S. (2020) · IEEE Access · doi:10.1109/access.2020.2984127 · Cited by 263
“Initial state of charge (SOCinit) is related to traveled distance as [22]:”
Background
Metadata
- Authors
- Leou, R., Teng, J., & Su, C.
- Affiliations
- Cheng Shiu University (TW)
- National Sun Yat-sen University (TW)
- National Kaohsiung Marine University (TW)
- Corresponding author
- Leou, Rong‐Ceng
- Venue
- IET Generation, Transmission & Distribution
- Published
- 2015-08
- Volume
- 9
- Issue
- 11
- Pages
- 1112-1119
- ISSN
- 1751-8687 (ISSN-L)
- 1751-8695
- OpenAlex
- W2054559398
- Cited by
- 54
- References
- 0
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 6 · 2023: 2 · 2022: 6 · 2021: 2 · 2020: 5 · 2019: 6 · 2018: 12 · 2017: 5 · 2016: 2 · 2015: 1
- FWCI
- 3.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IET Generation Transmission & Distribution (publishedVersion)
- Funders
- Ministry of Science and Technology, Taiwan (MOST 103-3113-E-110-002)
- 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
- electric vehicle charging stations, state of charge, Poisson distribution, roulette wheel selection, uniform distribution, field measurements, distribution system impacts
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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