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Published in: Wireless Personal Communications 2/2018

14-12-2017

The EV Charging Piles Planning Based on the MOTLBO Algorithm

Authors: Xiaodi Zhang, Yunlian Sun, Junwei Yu

Published in: Wireless Personal Communications | Issue 2/2018

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Abstract

Recently, the electric vehicles (EV) are promoting rapidly in many big cities of China, but the charging problem has become a big obstacle for the development of EV. In this article, the demand of EV is determined on the basis of EV proportion and divided into 2 portions: (1) Centralized demand (2) Decentralized demand. The charging total mileage is determined based on the state of charge (SOC) and the orderly-free charging strategy is presented considering the demand of the users. Moreover, a new multi-objective teaching–learning based optimization (MOTLBO) algorithm is put forward to plan the quantity and location of the concentrated charging pile in the region considering the situation of the new city. Results showed that the performance of MOTLBO was promising and benefits can be achieved easily. As Compared to other methods, the method used in this article picks out the hierarchical planning idea firstly and addicts the man–machine interaction into the free-orderly charging strategy.

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Literature
1.
go back to reference Zhang, D., Jiang, J., Zhang, W., et al. (2015). Optimal configuration of charging spots for electric taxis. Transactions of China Electrotechnical Society, 30(18), 181–188. Zhang, D., Jiang, J., Zhang, W., et al. (2015). Optimal configuration of charging spots for electric taxis. Transactions of China Electrotechnical Society, 30(18), 181–188.
2.
go back to reference Qian, B., Shi, D., Xie, P., et al. (2014). Optimal planning of battery charging and exchange stations for electric vehicles. Automation of Electric Power Systems, 38(2), 64–69+84. Qian, B., Shi, D., Xie, P., et al. (2014). Optimal planning of battery charging and exchange stations for electric vehicles. Automation of Electric Power Systems, 38(2), 64–69+84.
3.
go back to reference Jia, L., Hu, Z., Song, Y., et al. (2015). Planning of electric vehicle charging stations in highway network. Automation of Electric Power Systems, 39(15), 82–89 and 102. Jia, L., Hu, Z., Song, Y., et al. (2015). Planning of electric vehicle charging stations in highway network. Automation of Electric Power Systems, 39(15), 82–89 and 102.
4.
go back to reference Liu, H., Li, R., Ge, S., et al. (2015). Multi-objective planning of electric vehicle charging stations on expressway based on dynamic traffic flow simulation. Automation of Electric Power Systems, 39(24), 56–62 and 79. Liu, H., Li, R., Ge, S., et al. (2015). Multi-objective planning of electric vehicle charging stations on expressway based on dynamic traffic flow simulation. Automation of Electric Power Systems, 39(24), 56–62 and 79.
5.
go back to reference Hu, X., Martinez, C. M., & Yang, Y. (2017). Charging, power management, and battery degradation mitigation in plug-in hybrid electric vehicles: A unified cost-optimal approach. Mechanical Systems and Signal Processing, 87, 4–16.CrossRef Hu, X., Martinez, C. M., & Yang, Y. (2017). Charging, power management, and battery degradation mitigation in plug-in hybrid electric vehicles: A unified cost-optimal approach. Mechanical Systems and Signal Processing, 87, 4–16.CrossRef
6.
go back to reference Yang, T., Xu, X., Guo, Q., et al. (2017). EV charging behaviour analysis and modelling based on mobile crowdsensing data. IET Generation, Transmission and Distribution, 11(7), 1683–1691.CrossRef Yang, T., Xu, X., Guo, Q., et al. (2017). EV charging behaviour analysis and modelling based on mobile crowdsensing data. IET Generation, Transmission and Distribution, 11(7), 1683–1691.CrossRef
7.
go back to reference Mukherjee, J. C., & Gupta, A. (2017). Distributed charge scheduling of plug-in electric vehicles using inter-aggregator collaboration. IEEE Transactions on Smart Grid, 8(1), 331–341.CrossRef Mukherjee, J. C., & Gupta, A. (2017). Distributed charge scheduling of plug-in electric vehicles using inter-aggregator collaboration. IEEE Transactions on Smart Grid, 8(1), 331–341.CrossRef
8.
go back to reference Chen, L., Nie, Y., & Zhong, Q. (2015). A model for electric vehicle charging load forecasting based on trip chains. Diangong Jishu Xuebao/transactions of China Electrotechnical Society, 30(4), 216–225. Chen, L., Nie, Y., & Zhong, Q. (2015). A model for electric vehicle charging load forecasting based on trip chains. Diangong Jishu Xuebao/transactions of China Electrotechnical Society, 30(4), 216–225.
9.
go back to reference Chen, Z., Xiong, R., Wang, C., et al. (2017). An on-line predictive energy management strategy for plug-in hybrid electric vehicles to counter the uncertain prediction of the driving cycle. Applied Energy, 185, 1663–1672.CrossRef Chen, Z., Xiong, R., Wang, C., et al. (2017). An on-line predictive energy management strategy for plug-in hybrid electric vehicles to counter the uncertain prediction of the driving cycle. Applied Energy, 185, 1663–1672.CrossRef
10.
go back to reference Akhavan-Rezai, E., Shaaban, M. F., El-Saadany, E. F., & Karray, F. (2017). Managing demand for plug-in electric vehicles in unbalanced LV systems With photovoltaics. IEEE Transactions on Industrial Informatics, 13(3), 1057–1067.CrossRef Akhavan-Rezai, E., Shaaban, M. F., El-Saadany, E. F., & Karray, F. (2017). Managing demand for plug-in electric vehicles in unbalanced LV systems With photovoltaics. IEEE Transactions on Industrial Informatics, 13(3), 1057–1067.CrossRef
11.
go back to reference Fernandes, X., Rebelo, J., Gouveia, J., et al. (2016). On-off scheduling schemes for power-constrained electric vehicle charging. 4OR, 15(2), 1–19.MathSciNet Fernandes, X., Rebelo, J., Gouveia, J., et al. (2016). On-off scheduling schemes for power-constrained electric vehicle charging. 4OR, 15(2), 1–19.MathSciNet
12.
go back to reference Moon, S. K., & Kim, J. O. (2017). Balanced charging strategies for electric vehicles on power systems. Applied Energy, 189, 44–54.CrossRef Moon, S. K., & Kim, J. O. (2017). Balanced charging strategies for electric vehicles on power systems. Applied Energy, 189, 44–54.CrossRef
13.
go back to reference Ji, L., Guo, Z., & Wu, Y. (2017). Computational and experimental observation of Li-Ion concentration distribution and diffusion-induced stress in porous battery electrodes. Energy Technology, 5(9), 1702–1711.CrossRef Ji, L., Guo, Z., & Wu, Y. (2017). Computational and experimental observation of Li-Ion concentration distribution and diffusion-induced stress in porous battery electrodes. Energy Technology, 5(9), 1702–1711.CrossRef
14.
go back to reference Hannan, M. A., Lipu, M. S. H., Hussain, A., & Mohamed, A. (2017). A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations. Renewable and Sustainable Energy Reviews, 78, 834–854.CrossRef Hannan, M. A., Lipu, M. S. H., Hussain, A., & Mohamed, A. (2017). A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations. Renewable and Sustainable Energy Reviews, 78, 834–854.CrossRef
15.
go back to reference Zhang, X., Sun, Y., Yu, J & Li, X. Environmental/economic scheduling influence of vehicle-to-grid in micro-GRID. Boletín Técnico., 55(6):507–512. Zhang, X., Sun, Y., Yu, J & Li, X. Environmental/economic scheduling influence of vehicle-to-grid in micro-GRID. Boletín Técnico., 55(6):507–512.
16.
go back to reference Rao, R. V., & Waghmare, G. G. (2017). A new optimization algorithm for solving complex constrained design optimization problems. Engineering Optimization, 49(1), 60–83.CrossRef Rao, R. V., & Waghmare, G. G. (2017). A new optimization algorithm for solving complex constrained design optimization problems. Engineering Optimization, 49(1), 60–83.CrossRef
17.
go back to reference Li, D., Zhang, C., Shao, X., et al. (2016). A multi-objective TLBO algorithm for balancing two-sided assembly line with multiple constraints. Journal of Intelligent Manufacturing, 27(4), 725–739.CrossRef Li, D., Zhang, C., Shao, X., et al. (2016). A multi-objective TLBO algorithm for balancing two-sided assembly line with multiple constraints. Journal of Intelligent Manufacturing, 27(4), 725–739.CrossRef
18.
go back to reference Vo-Duy, T., Duong-Gia, D., Ho-Huu, V., et al. (2017). Multi-objective optimization of laminated composite beam structures using NSGA-II algorithm. Composite Structures, 168, 498–509.CrossRef Vo-Duy, T., Duong-Gia, D., Ho-Huu, V., et al. (2017). Multi-objective optimization of laminated composite beam structures using NSGA-II algorithm. Composite Structures, 168, 498–509.CrossRef
19.
go back to reference Li, L., Wang, W., & Xu, X. (2016). Multi-objective particle swarm optimization based on global margin ranking. Information Sciences, 375, 30–47.CrossRef Li, L., Wang, W., & Xu, X. (2016). Multi-objective particle swarm optimization based on global margin ranking. Information Sciences, 375, 30–47.CrossRef
20.
go back to reference Cheng, S., Zhao, L. L., & Jiang, X. Y. (2017). An effective application of bacteria quorum sensing and circular elimination in MOPSO. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14(1), 56–63.CrossRef Cheng, S., Zhao, L. L., & Jiang, X. Y. (2017). An effective application of bacteria quorum sensing and circular elimination in MOPSO. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14(1), 56–63.CrossRef
21.
go back to reference Li, X., Deb, K., & Fang, Y. (2017). A derived heuristics based multi-objective optimization procedure for micro-grid scheduling. Engineering Optimization, 49(6), 1078–1096.MathSciNetCrossRef Li, X., Deb, K., & Fang, Y. (2017). A derived heuristics based multi-objective optimization procedure for micro-grid scheduling. Engineering Optimization, 49(6), 1078–1096.MathSciNetCrossRef
Metadata
Title
The EV Charging Piles Planning Based on the MOTLBO Algorithm
Authors
Xiaodi Zhang
Yunlian Sun
Junwei Yu
Publication date
14-12-2017
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 2/2018
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-5116-0

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