Optimum Placement of Electric Vehicle Charging Stations : A Mathematical Formulation Approach

Authors

  • Paresh S. Chaudhari  Department of Electrical Engineering, B & B Institute of Technology, Vallabh Vidyanagar, Gujarat, India
  • Ketan S. Patel  Department of Electronics & Communication Engineering, B & B Institute of Technology, Vallabh Vidyanagar, Gujarat, India

Keywords:

Electric Vehicles, EV Charging Station

Abstract

The proliferation of electric vehicles (EVs) necessitates a strategic approach to the placement of charging stations to minimize range anxiety and enhance user convenience. This paper explores the critical factors and methodologies involved in the optimal placement of Electric Vehicle (EV) charging stations. With the increasing adoption of EVs, strategically locating charging stations is essential for supporting efficient and widespread usage. The study begins by introducing an optimization model that forms the foundation for determining optimal locations. It then delves into methodologies for optimal placement, focusing on traffic patterns, user preferences, and technological advancements. Various factors influencing charging station locations are examined, followed by an analysis of the challenges faced in this domain. The paper concludes by suggesting potential future research directions to enhance the effectiveness of EV charging station placement strategies.

References

  1. Hannan, Mahammad A., F. A. Azidin, and Azah Mohamed. "Hybrid electric vehicles and their challenges: A review." Renewable and Sustainable Energy Reviews 29 (2014): 135-150.
  2. Trivedi, Anupam, et al. "Multi-objective siting and sizing of E charging stations in the distribution system." 2015 IEEE Innovative Smart Grid Technologies-Asia (ISGT ASIA). IEEE, 2015.
  3. Zhang, Gang, Hongming Yang, and Jinjun Dong. "Electric vehicle charging stations layout research based on bi-level programming." 2015 5Th international conference on electric utility deregulation and restructuring and power technologies (DRPT). IEEE, 2015.
  4. Chen, T. Donna, Kara M. Kockelman, and Moby Khan. "The electric vehicle charging station location problem: a parking-based assignment method for Seattle." Transportation Research Board 92nd Annual Meeting. Vol. 340. 2013.
  5. He, Fang, Yafeng Yin, and Jing Zhou. "Deploying public charging stations for electric vehicles on urban road networks." Transportation Research Part C: Emerging Technologies 60 (2015): 227-240.
  6. Frade, Inês, et al. "Optimal location of charging stations for electric vehicles in a neighborhood in Lisbon, Portugal." Transportation Research Record 2252.1 (2011): 91-98.
  7. Spieker, Helge, et al. "Multi-stage evolution of single-and multi-objective MCLP: Successive placement of charging stations." Soft Computing 21 (2017): 4859-4872.
  8. Wirges, Johannes, Susanne Linder, and Alois Kessler. "Modelling the development of a regional charging infrastructure for electric vehicles in time and space." European Journal of Transport and Infrastructure Research 12.4 (2012).
  9. He, Fang, et al. "Optimal deployment of public charging stations for plug-in hybrid electric vehicles." Transportation Research Part B: Methodological 47 (2013): 87-101.
  10. Liu, Zhipeng, Fushuan Wen, and Gerard Ledwich. "Optimal planning of electric-vehicle charging stations in distribution systems." IEEE transactions on power delivery 28.1 (2012): 102-110.
  11. Baouche, F., Billot, R., Trigui, R., & El Faouzi, N. “Efficient Allocation of Electric Vehicles Charging Stations: Optimization Model and Application to a Dense Urban Network.” IEEE Intelligent Transportation Systems Magazine, 6(3), (2014): 33-43.
  12. Liu, Zhaoxi, et al. "Distribution locational marginal pricing for optimal electric vehicle charging through chance constrained mixed-integer programming." IEEE Transactions on Smart Grid 9.2 (2016): 644-654.
  13. Yin, Xiaoman, and Xiangyang Zhao. "Planning of electric vehicle charging station based on real time traffic flow." 2016 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2016.
  14. Mehar, Sara, and Sidi Mohammed Senouci. "An optimization location scheme for electric charging stations." 2013 international conference on smart communications in network technologies (SACONET). Vol. 1. IEEE, 2013.
  15. He, F., Yin, Y., & Zhou, J. “Deploying Public Charging Stations for Electric Vehicles on Urban Road Networks.” Transportation Research Part C: Emerging Technologies, 60, (2015): 227-240.
  16. Yang, Zhile, et al. "A self-learning TLBO based dynamic economic/environmental dispatch considering multiple plug-in electric vehicle loads." Journal of Modern Power Systems and Clean Energy 2.4 (2014): 298-307.
  17. Dubey, Anamika, and Surya Santoso. "Electric vehicle charging on residential distribution systems: Impacts and mitigations." IEEE Access 3 (2015): 1871-1893.
  18. Lam, Albert YS, Yiu-Wing Leung, and Xiaowen Chu. "Electric vehicle charging station placement: Formulation, complexity, and solutions." IEEE Transactions on Smart Grid 5.6 (2014): 2846-2856.
  19. Bilal, Mohd, and Mohammad Rizwan. "Electric vehicles in a smart grid: a comprehensive survey on optimal location of charging station." IET Smart Grid 3.3 (2020): 267-279.
  20. Zhou, Jianli, et al. "A geographical information system based multi-criteria decision-making approach for location analysis and evaluation of urban photovoltaic charging station: A case study in Beijing." Energy Conversion and Management 205 (2020): 112340.
  21. Bian, Caiyun, et al. "Finding the optimal location for public charging stations–a GIS-based MILP approach." Energy Procedia 158 (2019): 6582-6588.
  22. Huang, Pei, et al. "Geographic Information System-assisted optimal design of renewable powered electric vehicle charging stations in high-density cities." Applied Energy 255 (2019): 113855.
  23. Bi, Ran, et al. "A simulation-based heuristic for city-scale electric vehicle charging station placement." 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2017.
  24. Efthymiou, Dimitrios, et al. "Electric vehicles charging infrastructure location: a genetic algorithm approach." European Transport Research Review 9 (2017): 1-9.
  25. Liu, Zi-fa, et al. "Optimal planning of charging station for electric vehicle based on particle swarm optimization." IEEE PES Innovative Smart Grid Technologies. IEEE, 2012.
  26. Kasturi, Kumari, and Manas Ranjan Nayak. "Optimal planning of charging station for EVs with PV-BES unit in distribution system using WOA." 2017 2nd international conference on man and machine interfacing (MAMI). IEEE, 2017.
  27. Deb, Sanchari, et al. "Optimal placement of charging stations using CSO-TLBO algorithm." 2017 third international conference on research in computational intelligence and communication networks (ICRCICN). IEEE, 2017.
  28. Deb, S., et al. "A Pareto dominance based multi-objective chicken swarm optimization and teaching learning based optimization algorithm for charging station placement problem." IEEE Access 8 (2020): 92573-92590.
  29. Awasthi, Abhishek, et al. "Optimal planning of electric vehicle charging station at the distribution system using hybrid optimization algorithm." Energy 133 (2017): 70-78.
  30. He, Yifeng, Bala Venkatesh, and Ling Guan. "Optimal scheduling for charging and discharging of electric vehicles." IEEE transactions on smart grid 3.3 (2012): 1095-1105.
  31. Lee, Ki-Beom, et al. "Deep reinforcement learning based optimal route and charging station selection." Energies 13.23 (2020): 6255.
  32. Wu, Han, and Dongxiao Niu. "Study on influence factors of electric vehicles charging station location based on ISM and FMICMAC." Sustainability 9.4 (2017): 484.
  33. Moghaddam, Zeinab, et al. "Smart charging strategy for electric vehicle charging stations." IEEE Transactions on transportation electrification 4.1 (2017): 76-88.
  34. Lopez Behar, Diana. Installation of charging infrastructure for electric vehicles in multi-unit residential buildings in British Columbia. Diss. University of British Columbia, 2017.
  35. Aljaidi, Mohammad, Nauman Aslam, and Omprakash Kaiwartya. "Optimal placement and capacity of electric vehicle charging stations in urban areas: Survey and open challenges." 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT). IEEE, 2019.
  36. Ma, Zhongjing, Duncan S. Callaway, and Ian A. Hiskens. "Decentralized charging control of large populations of plug-in electric vehicles." IEEE Transactions on control systems technology 21.1 (2011): 67-78.
  37. Karakitsiou, Athanasia, Athanasios Migdalas, and P. M. Pardalos. "Optimal location problems for electric vehicles charging stations: models and challenges." Open Problems in Optimization and Data Analysis (2018): 49-60.
  38. Moradi, Mohammad H., et al. "Optimal siting and sizing of renewable energy sources and charging stations simultaneously based on differential evolution algorithm." International Journal of Electrical Power & Energy Systems 73 (2015): 1015-1024.
  39. Savari, George F., et al. "Internet of Things based real-time electric vehicle load forecasting and charging station recommendation." ISA transactions 97 (2020): 431-447.
  40. Chen, T. Donna, Kara M. Kockelman, and Josiah P. Hanna. "Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions." Transportation Research Part A: Policy and Practice 94 (2016): 243-254.
  41. Bae, Sungwoo, and Alexis Kwasinski. "Spatial and temporal model of electric vehicle charging demand." IEEE Transactions on Smart Grid 3.1 (2011): 394-403.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-12-30

Issue

Volume 7, Issue 6, November-December-2020

Section

Research Articles

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How to Cite

[1]
Paresh S. Chaudhari, Ketan S. Patel "Optimum Placement of Electric Vehicle Charging Stations : A Mathematical Formulation Approach" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 6, pp.327-336, November-December-2020.