The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Centralized Charging Strategy and Scheduling Algorithm for Electric Vehicles Under a Battery Swapping Scenario
Abstract
Centralized charging of electric vehicles (EVs) based on battery swapping is a promising strategy for their large-scale utilization in power systems. The most outstanding feature of this strategy is that EV batteries can be replaced within a short time and can be charged during off-peak periods or on low electric price and scheduled in any battery swap station. This paper proposes a novel centralized charging strategy of EVs under the battery swapping scenario by considering optimal charging priority and charging location (station or bus node in a power system) based on spot electric price. In this strategy, a population-based heuristic approach is designed to minimize total charging cost, as well as to reduce power loss and voltage deviation of power networks. We introduce a dynamic crossover and adaptive mutation strategy into a hybrid algorithm of particle swarm optimization and genetic algorithm. The resulting algorithm and several others are executed on an IEEE 30-bus test system, and the results suggest that the proposed one is effective and promising for optimal EV centralized charging.
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Zimmerman, R. D., Murillo-Sanchez, C. E., & Thomas, R. J. (2011) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2010.2051168 · Cited by 6,756
A discrete binary version of the particle swarm algorithm
Kennedy, J., & Eberhart, R. C. (2002) · 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation · doi:10.1109/icsmc.1997.637339 · Cited by 4,767
The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid
Clement-Nyns, K., Haesen, E., & Driesen, J. (2010) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2036481 · Cited by 2,847
Modeling of Load Demand Due to EV Battery Charging in Distribution Systems
Qian, K., Zhou, C., Allan, M., & Yuan, Y. (2011) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2010.2057456 · Cited by 1,268
Fonseca, C. M., & Fleming, P. J. (1998) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/3468.650319 · Cited by 1,234
Power Flow Solution by Newton's Method
Tinney, W., & Hart, C. (1967) · IEEE Transactions on Power Apparatus and Systems · doi:10.1109/tpas.1967.291823 · Cited by 1,215
Deilami, S., Masoum, A. S., Moses, P. S., & Masoum, M. A. S. (2011) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2011.2159816 · Cited by 1,145
A conceptual framework for the vehicle-to-grid (V2G) implementation
Guille, C., & Gross, G. (2009) · Energy Policy · doi:10.1016/j.enpol.2009.05.053 · Cited by 934
Automatic Clustering Using an Improved Differential Evolution Algorithm
Das, S., Abraham, A., & Konar, A. (2008) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/tsmca.2007.909595 · Cited by 726
Luo, X., Zhou, M., Xia, Y., & Zhu, Q. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2308433 · Cited by 629
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Key challenges for a large-scale development of battery electric vehicles: A comprehensive review
Lebrouhi, B. E., Khattari, Y., Lamrani, B., Maaroufi, M., Zeraouli, Y., & Kousksou, T. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103273 · Cited by 276
Adu-Gyamfi, G., Song, H., Asamoah, A. N., Li, L., Nketiah, E., Obuobi, B., Adjei, M., & Cudjoe, D. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121995 · Cited by 61
Metadata
- Authors
- Kang, Q., Wang, J., Zhou, M., & Ammari, A. C.
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2016-03
- Volume
- 17
- Issue
- 3
- Pages
- 659-669
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W2292607291
- Cited by
- 328
- References
- 41
- FWCI
- 9.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kang, Q., Wang, J., Zhou, M., & Ammari, A. C. (2016). Centralized Charging Strategy and Scheduling Algorithm for Electric Vehicles Under a Battery Swapping Scenario. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2015.2487323
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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.
