The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Traffic-Constrained Multiobjective Planning of Electric-Vehicle Charging Stations
Abstract
Smart-grid development calls for effective solutions, such as electric vehicles (EVs), to meet the energy and environmental challenges. To facilitate large-scale EV applications, optimal locating and sizing of charging stations in smart grids have become essential. This paper proposes a multiobjective EV charging station planning method which can ensure charging service while reducing power losses and voltage deviations of distribution systems. A battery capacity-constrained EV flow capturing location model is proposed to maximize the EV traffic flow that can be charged given a candidate construction plan of EV charging stations. The data-envelopment analysis method is employed to obtain the final optimal solution. Subsequently, the well-established cross-entropy method is utilized to solve the planning problem. The simulation results have demonstrated the effectiveness of the proposed method based on a case study consisting of a 33-node distribution system and a 25-node traffic network system.
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Cited by
Optimal fast charging station placing and sizing
Sadeghi-Barzani, P., Rajabi-Ghahnavieh, A., & Kazemi-Karegar, H. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.03.077 · Cited by 557
PEV fast-charging station siting and sizing on coupled transportation and power networks
Zhang, H., Moura, S. J., Hu, Z., & Song, Y. (2018) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2614939 · Cited by 350
Awasthi, A., Venkitusamy, K., Padmanaban, S., Selvamuthukumaran, R., Blaabjerg, F., & Singh, A. K. (2017) · Energy · doi:10.1016/j.energy.2017.05.094 · Cited by 351
Optimal Traffic-Power Flow in Urban Electrified Transportation Networks
Wei, W., Mei, S., Wu, L., Shahidehpour, M., & Fang, Y. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2612239 · Cited by 285
Xiang, Y., Liu, J., Li, R., Li, F., Gu, C., & Tang, S. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.06.021 · Cited by 252
Metadata
- Authors
- Wang, G., Xu, Z., Wen, F., & Wong, K. P.
- Venue
- IEEE Transactions on Power Delivery
- Published
- 2013-10
- Volume
- 28
- Issue
- 4
- Pages
- 2363-2372
- ISSN
- 0885-8977 (ISSN-L)
- 1937-4208
- OpenAlex
- W2026701735
- Cited by
- 395
- References
- 18
- FWCI
- 11.38
- Type
- journal article
- Language
- en
- Open access
- closed
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