The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A Multi-Objective Collaborative Planning Strategy for Integrated Power Distribution and Electric Vehicle Charging Systems
Abstract
An elaborately designed integrated power distribution and electric vehicle (EV) charging system will not only reduce the investment and operation cost of the system concerned, but also promote the popularization of environmentally friendly EVs. In this context, a multi-objective collaborative planning strategy is presented to deal with the optimal planning issue in integrated power distribution and EV charging systems. In the developed model, the overall annual cost of investment and energy losses is minimized simultaneously with the maximization of the annual traffic flow captured by fast charging stations (FCSs). Additionally, the user equilibrium based traffic assignment model (UETAM) is integrated to address the maximal traffic flow capturing problem. Subsequently, a decomposition based multi-objective evolutionary algorithm (MOEA/D) is employed to seek the non-dominated solutions, i.e., the Pareto frontier. Finally, collaborative planning results of two coupled distribution and transportation systems are presented to illustrate the performance of the proposed model and solution method.
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Cites
A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.996017 · Cited by 50,053
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
Zhang, Q., & Li, H. (2007) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2007.892759 · Cited by 10,069
Kempton, W., & Tomić, J. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.12.022 · Cited by 2,126
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
Optimal Charging of Electric Vehicles in Low-Voltage Distribution Systems
Richardson, P., Flynn, D., & Keane, A. (2012) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2011.2158247 · Cited by 566
Cited by
Georgilakis, P. S., & Hatziargyriou, N. D. (2015) · Electric Power Systems Research · doi:10.1016/j.epsr.2014.12.010 · Cited by 414
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
An integrated planning framework for different types of PEV charging facilities in urban area
Zhang, H., Hu, Z., Xu, Z., & Song, Y. (2016) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2436069 · Cited by 209
Optimal Planning of PEV Charging Station With Single Output Multiple Cables Charging Spots
Zhang, H., Hu, Z., Xu, Z., & Song, Y. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2517026 · Cited by 171
Xie, R., Wei, W., Khodayar, M. E., Wang, J., & Mei, S. (2018) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2018.2849222 · Cited by 131
Metadata
- Authors
- Yao, W., Zhao, J., Wen, F., Dong, Z., Xue, Y., Xu, Y., & Meng, K.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2014-07
- Volume
- 29
- Issue
- 4
- Pages
- 1811-1821
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2122741803
- Cited by
- 385
- References
- 5
- FWCI
- 12.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yao, W., Zhao, J., Wen, F., Dong, Z., Xue, Y., Xu, Y., & Meng, K. (2014). A Multi-Objective Collaborative Planning Strategy for Integrated Power Distribution and Electric Vehicle Charging Systems. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2013.2296615
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