The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Grid Integration of Electric Vehicles and Demand Response With Customer Choice
Abstract
As electric vehicles (EVs) take a greater share in the personal automobile market, their penetration may bring higher peak demand at the distribution level. This may cause potential transformer overloads, feeder congestions, and undue circuit faults. This paper focuses on the impact of charging EVs on a residential distribution circuit. Different EV penetration levels, EV types, and charging profiles are considered. In order to minimize the impact of charging EVs on a distribution circuit, a demand response strategy is proposed in the context of a smart distribution network. In the proposed DR strategy, consumers will have their own choices to determine which load to control and when. Consumer comfort indices are introduced to measure the impact of demand response on consumers' lifestyle. The proposed indices can provide electric utilities a better estimation of the customer acceptance of a DR program, and the capability of a distribution circuit to accommodate EV penetration.
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Citations
Cites
Assessment of the Impact of Plug-in Electric Vehicles on Distribution Networks
Pieltain Fernandez, L., Gomez San Roman, T., Cossent, R., Mateo Domingo, C., & Frias, P. (2011) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2010.2049133 · Cited by 1,245
Cited by
Review of the Impact of Vehicle-to-Grid Technologies on Distribution Systems and Utility Interfaces
Yilmaz, M., & Krein, P. T. (2013) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2012.2227500 · Cited by 1,024
Optimal residential community demand response scheduling in smart grid
Nan, S., Zhou, M., & Li, G. (2018) · Applied Energy · doi:10.1016/j.apenergy.2017.06.066 · Cited by 319
Yuvaraj, T., Devabalaji, K. R., Kumar, J. A., Thanikanti, S. B., & Nwulu, N. I. (2024) · IEEE Access · doi:10.1109/access.2023.3349274 · Cited by 249
López, M. A., de la Torre, S., Martín, S., & Aguado, J. A. (2015) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2014.07.065 · Cited by 221
Demand response for residential electric vehicles with random usage patterns in smart grids
Rassaei, F., Soh, W.-S., & Chua, K.-C. (2015) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2015.2438037 · Cited by 197
Metadata
- Authors
- Shao, S., Pipattanasomporn, M., & Rahman, S.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2012-03
- Volume
- 3
- Issue
- 1
- Pages
- 543-550
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2050304929
- Cited by
- 395
- References
- 1
- FWCI
- 28.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- Shao, S., Pipattanasomporn, M., & Rahman, S. (2012). Grid Integration of Electric Vehicles and Demand Response With Customer Choice. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2011.2164949
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
