Chapter
Aug 31, 2020
International Conference on Transportation and Development 2020

A Review of Different Charging Stations Optimal Localization Models and Analysis Functions for the Electric Vehicle Charging Infrastructure

Publication: International Conference on Transportation and Development 2020

ABSTRACT

In the present world, global warming is one of the major problems where air pollution plays a vital role. Different studies showed that the transportation sector is one of the significant role players for air pollution. To reduce air pollution through transportation modes, scientists were working for a long time. Electric vehicles (EV) are important innovations, which is considered one of the best options to fight against air pollution as well as it has less maintenance and operating cost, and low noise emission. However, EV growth is suppressed due to less number of public charging stations, the appropriate position of the charging station, and uncoordinated charging in the charging stations. Charging stations in suitable places and charging time is a significant concern to operate and increase the number of EVs. Different researches reviewed the issues of charging infrastructure like-different technics for charging station placement, optimization techniques, and topologies of fast charging stations but very few did analyze or reviewed different modeling approaches or charging stations optimal localization models. This study has reviewed EV charging station related literature until 2019 and tried to find out the recent trends in charging infrastructure planning of EVs. This study also briefly discusses various mathematical models and algorithms to plan an EV charging station from relevant literature.

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REFERENCES

Ahmadi, M., Mithulananthan, N., & Sharma, R. (2016). A review of topologies for fast-charging stations for electric vehicles. In Power System Technology (POWERCON), 2016 i.e., International Conference on (pp. 1–6). Wollongong, NSW: IEEE.
Aghaei, J., Nezhad, A. E., Rabiee, A., & Rahimi, E. (2016). Contribution of plug-in hybrid electric vehicles in power system uncertainty management. Renewable andSustainable Energy Reviews, 59, 450–458.
Ahn, Y., & Yeo, H. (2015). An analytical planning model to estimate the optimal density of charging stations for electric vehicles. PLoS One, 10(11), e0141307.
Alegre, S., Míguez, J. V., & Carpio, J. (2017). Modelling of electric and parallel-hybrid electric vehicle using Matlab/Simulink environment and planning of charging stations through a geographic information system and genetic algorithms. Renewable and Sustainable Energy Reviews, 74, 1020-1027.
Andrenacci, N., Ragona, R., & Valenti, G. (2016). A demand-side approach to the optimal deployment of electric vehicle charging stations in metropolitan areas. Applied Energy, 182, 39–46. doi:10. 1016/j.apenergy.2016.07.137.
Arabani, A. Boloori, Farahani, R. Z. (2012). Facility location dynamics: an overview of classifications and applications. Comput. Ind. Eng. 62, 408–420.
Arslan, O., & Karas¸an, O. E. (2016). A Benders decomposition approach for the charging station location problem with plug-in hybrid electric vehicles. Transportation Research Part B: Methodological, 93, 670–695.
Asamer, J., Reinthaler, M., Ruthmair, M., Straub, M., & Puchinger, J. (2016). Optimizing charging station locations for urban taxi providers. Transportation ResearchPart A: Policy and Practice, 85, 233–246.
Bendiabdellah Z., Senouci S. M., Feham M.(2014). A hybrid algorithm for planning public charging stations, Global Information Infrastructure and Networking Symposium (GIIS), Montreal, QC, 1-3.
Bhatti, A. R., Salam, Z., Abdul, M. J. B., & Yee, K. P. (2016). A comprehensive overview of electric vehicle charging using renewable energy. International Journal of Power Electronics and Drive Systems, 7(1), 114.
Bonges III, H. A., & Lusk, A. C. (2016). Addressing electric vehicle (EV) sales and range anxiety through parking layout, policy, and regulation. Transportation Research Part A: Policy and Practice, 83, 63-73.
Chang, S., Li, H., & Nahrstedt, K., (2014). Charging facility planning for electric vehicles. In Electric Vehicle Conference (IEVC), 2014 i.e., International(pp. 1–7). Florence, Italy: IEEE.
Chen, S., Shi, Y., Chen, X., & Qi, F. (2015). Optimal location of electric vehicle charging stations using a genetic algorithm. In 2015 17th AsiaPacific Network Operations and Management Symposium.
Chen, T. D., Kockelman, K. M., Khan, M. (2013). The Electric Vehicle Charging Station Location Problem: A Parking-Based Assignment Method for Seattle. Transportation Research Record 1254: 28-36.
Chung, S. H., & Kwon, C. (2015). Multi-period planning for electric car charging station locations: A case of Korean Expressways. European Journal of Operational Research, 242(2), 677–687.
Dong, X., Mu, Y., Jia, H., Wu, J., & Yu, X. (2016). Planning of fast EV charging stations on a round freeway. IEEE Transactions on Sustainable Energy, 7(4), 1452-1461.
Foosnæs, A. H., Jensen, A. N., & Nordentoft, N. C. (2017). Report: Case studies on grid impacts of fast charging..
Graham-Rowe, E., Gardner, B., Abraham, C., Skippon, S., Dittmar, H., Hutchins, R., & Stannard, J. (2012). Mainstream consumers driving plug-in battery-electric and plug-in hybrid electric cars: A qualitative analysis of responses and evaluations. Transportation Research Part A: Policy and Practice, 46(1), 140–153.
Ghamami, M., Nie, Y., Zockaie, A., (2015). Planning Charging Infrastructure for Plug-in Electric Vehicles in City Centers, International Journal of Sustainable Transportation.
Guler, D., & Yomralioglu, T. (2018). GIS and fuzzy AHP based area selection for electric vehicle charging stations. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42, 4.
Guo, S., Zhao, H.(2015). Optimal Site Selection of Electric Vehicle Charging Station by Using Fuzzy TOPSIS Based on Sustainability Perspective. Applied Energy 158, 390–402.
Gimenez-Gaydou, D. A., Ribeiro, A. S. N., Gutierrez, J., & Antunes, A. P. (2016). Optimal location of battery electric vehicle charging stations in urban areas: A new approach. International Journal of Sustainable Transportation, 10, 393–405.
Gkatzoflias, D., Drossinos, Y., & Zambelli, P. (2016). Optimal allocation of electric vehicle charging infrastructure in cities and regions.
Goldberg, A. V., Kaplan, H., Werneck, R. F. (2005). Reach for A: Efficient Point-To-Point Shortest Path Algorithms..
Gopalakrishnan, R., Biswas, A., Lightwala, A., Vasudevan, S., Dutta, P., & Tripathi, A. (2016). Demand prediction and placement optimization for electric vehicle charging stations.
Hanabusa, H., & Horiguchi, R. (2011). A study of the analytical method for the location planning of charging stations for electric vehicles. Knowledge-Based and Intelligent Information and Engineering Systems, 596–605.
Han, D., Ahn, Y., Park, S., & Yeo, H. (2016). Trajectory-interception based method for electric vehicle taxi charging station problem with real taxi data. International Journal of Sustainable Transportation, 10(8), 671-682.
He, J., Yang, H., Tang, T. Q., & Huang, H. J. (2018). An optimal charging station location model with the consideration of electric vehicle’s driving range. Transportation Research Part C: Emerging Technologies, 86, 641-654.
He, F., Yin, Y., & Zhou, J. (2015). Deploying public charging stations for electric vehicles on urban road networks. Transportation Research Part C: Emerging Technologies, 60, 227–240.
He, S. Y., Kuo, Y.-H., & Wu, D. (2016). Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China. Transportation Research Part C: Emerging Technologies.
Hidalgo, P., A., L., Ostendorp, M., & Lienkamp, M. (2016). Optimizing the charging station placement by considering the user’s charging behavior. In 2016 IEEE International Energy Conference (ENERGYCON) (pp. 1–7).
Hosseini, M., MirHassani, S. A., & Hooshmand, F. (2017). Deviation-flow refueling location problem with capacitated facilities: Model and algorithm. Transportation Research Part D: Transport and Environment, 54, 269-281.
Hosseini, M., & MirHassani, S. A. (2015). Selecting optimal location for electric recharging stations with queue. KSCE Journal of Civil Engineering, 19(7), 2271–2280.
Hu, J., Morais, H., Sousa, T., & Lind, M. (2016). Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects. Renewableand Sustainable Energy Reviews, 56, 1207–1226.
Huang, Y., Chen, C.-W., Fan, Y., 2010a. Multistage optimization of the supply chains of biofuels. Transport. Res. Part E: Logist. Transport. Rev. 46, 820–830.
Huang, Y., Fan, Y., Johnson, N., 2010b. Multistage system planning for hydrogen production and distribution. Networks Spatial Econ. 10, 455–472.
Huang, K., Kanaroglou, P., Zhang, X., (2016). The Design of Electric Vehicle Charging Network, Transportation Research Part D 49 1–17.
Ip, A., Fong, S., Liu, E., 2010. Optimization for allocating BEV recharging stations in urban areas by using hierarchical clustering. In: 2010 6th International Conference on Advanced Information Management and Service (IMS), Springer, pp. 460–465.
Islam, M. M., Shareef, H., & Mohamed, A. (2015). A review of techniques for optimal placement and sizing of electric vehicle charging stations. Przegląd Elektrotechniczny, 91(8), 122–126.
Ji, D., Zhao, Y., Dong, X., Zhao, M., Yang, L., Lv, M., & Chen, G. (2017, November). A Spatial-Temporal Model for Locating Electric Vehicle Charging Stations. In National Conference on Embedded System Technology (pp. 89-102). Springer, Singapore.
Jia, L., Hu, Z., Liang, W., Lang, W., & Song, Y. (2014). A novel approach for urban electric vehicle charging facility planning considering combination of slow and fast charging. In 2014 International Conference on Power System Technology (pp. 3354–3360).
Jiang, N., Xie, C., Duthie, J. C., Waller, T. (2013). A Network Equilibrium Analysis on Destination, Route and Parking Choices with Mixed Gasoline and Electric Vehicular Flows, EURO J Transp Logist, DOI https://doi.org/10.1007/s13676-013-0021-5.
Jung, J., Chow, J. Y.J., Jayakrishnan, R., Park, J. Y. (2014). Stochastic dynamic itinerary interception refueling location problem with queue delay for electric taxi charging stations. Transport. Res. Part C: Emerg. Technol. 40, 123–142.
Kockelman K. M., Chen T. D., Khan M.(2013). The electric vehicle charging station location problem: a parking-based assignment method for Seattle, Proceedings of the 92nd Annual Meeting of the Transportation Research Board in Washington DC.
L. F. Kou, Z. F. Liu, H. Zhou. (2010) Modeling algorithm of charging station planning for regional electric vehicle. Modern Electric Power, vol. 27, no. 4, pp. 44-48.
L. Feng, S. Ge, H. Liu. (2011) Electric vehicle charging station planning based on weighted voronoi diagram. International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE), Changchun, China.
L. Jia, Z. C Hu, Y. H. Song, et al. (2012).Optimal siting and sizing of electric vehicle charging stations. IEEE International Electric Vehicle Conference (IEVC), Greenville, SC, USA, March 4-8, 2012, pp. 1-6.
Lee, Y-G., Kim, H-S., Kho, S-Y., Lee, C. (2014). User Equilibrium–Based Location Model of Rapid Charging Stations for Electric Vehicles with Batteries That Have Different States of Charge. Transportation Research Record: Journal of the Transportation Research Board, No. 2454, 97–106. DOI: https://doi.org/10.3141/2454-13.
Lin, W., & Hua, G. (2015). The flow capturing location model and algorithm of electric vehicle charging stations. In Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on (pp. 1–6). Barcelona, Spain: IEEE.
Liu, H., & Wang, D. Z. (2017). Locating multiple types of charging facilities for battery electric vehicles. Transportation Research Part B: Methodological, 103, 30-55.
Li, S., Huang, Y., & Mason, S. J. (2016). A multi-period optimization model for the deployment of public electric vehicle charging stations on network. Transportation Research Part C: Emerging Technologies, 65, 128–143. doi:10.1016/j.trc.2016.01.008.
Lu, F., & Hua, G. (2015). A location-sizing model for electric vehicle charging station deployment based on queuing theory. In Logistics, Informatics and ServiceSciences (LISS), 2015 International Conference on (pp. 1–5). Barcelona, Spain: IEEE.
Mehar S., Senouci S. M. (2013) An Optimization location scheme for electric charging stations, International Conference on Smart Communications in Network Technologies (SaCoNeT), Paris,1-5.
Melo, M. T., Nickel, S., Saldanha-da-Gama, F. (2009). Facility location and supply chain management – a review. Eur. J. Oper. Res. 196, 401–412.
Mukherjee, J. C., & Gupta, A. (2015). A review of charge scheduling of electric vehicles in smart grid. IEEE Systems Journal, 9(4), 1541–1553.
Nahrstedt, K., & Chang, S. (2016, May). Placement of energy sources for electric transportation in smart cities. In Smart Computing (SMARTCOMP), 2016 I.E. International Conference on (pp. 1–8). St. Louis, MO: IEEE.
Nickel, S., Saldanha da Gama, F.(2015).Multi-period facility location. In: Laporte, G., Nickel, S., Saldanha Da Gama, F. (Eds.), Location Science. Springer International Publishing.
Pacific Institute for Climate Solutions. (2017). Norway’s electric vehicle revolution: Lessons for British Columbia.
Riemann, R., Wang, D. Z.W., Busch, F. (2015). Optimal Location of Wireless Charging Facilities for Electric Vehicles: Flow-Capturing Location Model with Stochastic User Equilibrium. Transportation Research Part C 58, 1–12.
Rahman, I., Vasant, P. M., Singh, B. S. M., Abdullah-Al-Wadud, M., & Adnan, N. (2016). Review of recent trends in optimization techniques for plug-in hybrid, and electric vehicle charging infrastructures. Renewable and Sustainable Energy Reviews.
Ratna Babu Chinnam. (2017). Community-aware charging station network design for electrified vehicles in urban areas: Reducing congestion, emissions, improving accessibility, and promoting walking, bicycling, and use of public transportation., Western Michigan Universities.
S. Y. Ge, L. Feng, H. Liu, et al. (2013).Planning of charging stations considering traffic flow and capacity con-straints of distribution network.Power System Technology.
Shin, H. S., Farkas, Z. A., & Nickkar, A. (2015). An Analysis of Attributes of Electric Vehicle Owners’ Travel and Purchasing Behavior: The Case of Maryland. Journal of Infrastructure Systems.
Shahraki, N., Cai, H., Turkay, M., Xu, M. (2015). Optimal Locations of Electric Public Charging Stations Using Real World Vehicle Travel Patterns. Transportation Research Part D 41, 165–176, https://doi.org/10.1016/j.trd.2015.09.011.
Shenga, Y., Gao, Y. (2016). Shortest Path Problem of Uncertain Random Network. Computers & Industrial Engineering, Volume 99 Pages 97–105.
Spectrum. (2017). Speed bumps ahead for electric-vehicle charging.
Sun, Z., Gao, W., Li, B., & Wang, L. (2018). Locating charging stations for electric vehicles. Transport Policy.
Tang X., Liu J., Wang X., Xiong J.(2011) Electric vehicle charging station planning based on weighted voronoi diagram, International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE), Changchun, China, 1297-1300.
Teixeira, A. C. R., & Sodré, J. R. (2016). Simulation of the impacts on carbon dioxide emissions from replacement of a conventional Brazilian taxi fleet by electric vehicles. Energy, 115, 1617–1622.
Tian, Z., Hou, W., Gu, X., Gu, F., & Yao, B. (2018). The location optimization of electric vehicle charging stations considering charging behavior. Simulation, 94(7), 625-636.
Tu, W., Li, Q., Fang, Z., Shaw, S., Zhou, B., & Chang, X. (2016). Optimizing the locations of electric taxi charging stations: A spatialtemporal demand coverage approach. Transportation Research Part C: Emerging Technologies, 65, 172–189. doi:10.1016/j.trc.2015.10.004.
Vazifeh, M. M., Zhang, H., Santi, P., & Ratti, C. (2015). Optimizing the deployment of electric vehicle charging stations using pervasive mobility data. arXiv preprint arXiv:1511.00615.
Wang, Y. W., & Lin, C. C. (2013). Locating multiple types of recharging stations for battery-powered electric vehicle transport. Transportation Research Part E: Logistics and Transportation Review, 58, 76–87.
Wagner, S., Brandt, T., & Neumann, D. (2014). Smart city planning – Developing an urban charging infrastructure for electric vehicles. Presented at the ECIS 2014 Proceedings—22nd European Conference on Information Systems.
Wang, Q., Rongrong, L., & Rui, J. (2016). Decoupling and decomposition analysis of carbon emissions from industry: A case study from China. Sustainability, 8(10), 1059–1076.
Wang, Z., & Yang, L. (2015). Delinking indicators on regional industry development and carbon emissions: Beijing–Tianjin–Hebei economic band case. Ecological Indicators, 48, 41–48.
Wirges, J. (2016). Planning the charging infrastructure for electric vehicles in cities and regions. KIT Scientific Publishing. ISBN: 3731505010. Retrieved from: https://books.google.de/books?id=M5jZDAAAQBA.
Wua, D., Lic, Y., Lua, J., Liua, Q. (2016). Study on Users Equilibrium Model with Distance Constraint of Electric Vehicles, Procedia Engineering 137, 69–74, doi: https://doi.org/10.1016/j.proeng.2016.01.235.
Xu, M., Meng, Q., Liu, K., & Yamamoto, T. (2017). Joint charging mode and location choice model for battery electric vehicle users. Transportation Research Part B: Methodological, 103, 68-86.
Xu, L., Lin, W., Wang, X., Xu, Z., Chen, W., & Wang, T. (2017). ChargeMap: An Electric Vehicle Charging Station Planning System. In Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data (pp. 337-340). Springer, Cham.
Xu, H., Miao, S., Zhang, C., Shi, D.(2013). Optimal Placement of Charging Infrastructures for Large-Scale Integration of Pure Electric Vehicles into Grid, Electrical Power and Energy Systems 53, 159–165, https://doi.org/10.1016/j.ijepes.2013.04.022.
Yan, X., Duan, C., Chen, X., & Duan, Z. (2014). Planning of electric vehicle charging station based on hierarchic genetic algorithm. In Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 I.E. Conference and Expo (pp. 1–5). Beijing, China: IEEE.
Yi, Z., Bauer, P. H. (2016). Optimization Models for Placement of an Energy-Aware Electric Vehicle Charging Infrastructure. Transportation Research Part E 91, 227–244, https://doi.org/10.1016/j.tre.2016.04.013.
You P. S., Hsieh Y. C. (2014).A hybrid heuristic approach to the problem of the location of vehicle charging stations, Comput. Ind. Eng., 70, 195–204.
Z. P. Liu, F. S. Wen, Y. S. Xue, et al. (2012). Optimal siting and sizing of electric vehicle charging stations. Automation of Electric Power Systems, vol. 36, no. 3, pp. 54-59, 2012.
Zhao, H., & Li, N. (2016). Optimal siting of charging stations for electric vehicles based on fuzzy.
Momtazpour, M., Butler, P., Ramakrishnan, N., Hossain, M. S., Bozchalui, M. C., Sharma, R., 2014. Charging and storage infrastructure design for electricvehicles. ACM Trans. Intell. Syst. Technol. (TIST) 5, 42.
Zhang, A., Kang, J. E., & Kwon, C. (2017). Incorporating demand dynamics in multi-period capacitated fast-charging location planning for electric vehicles. Transportation Research Part B: Methodological, 103, 5-29.
Zhu, Z-H., Gao, Z-U., Zheng, J-F., Du, H-M. (2016). Charging Station Location Problem of Plug-in Electric Vehicles. Journal of Transport Geography 52, 11–22, https://doi.org/10.1016/j.jtrangeo.2016.02.002.
Zhang, Y., & Imana, K. (2018, May). A multi-factor GIS method to identify optimal geographic locations for electric vehicle (EV) charging stations. In Proceedings of the ICA (Vol. 1, p. 127).

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International Conference on Transportation and Development 2020
Pages: 262 - 276
Editor: Guohui Zhang, Ph.D., University of Hawaii
ISBN (Online): 978-0-7844-8316-9

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Published online: Aug 31, 2020
Published in print: Aug 31, 2020

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Nashid K. Khadem [email protected]
1Ph.D. Student in Transportation and Urban Infrastructure Systems, Dept. of Transportation and Urban Infrastructure Studies, Morgan State Univ. Email: [email protected]
Amirreza Nickkar [email protected]
2Ph.D. Student in Transportation and Urban Infrastructure Systems, Dept. of Transportation and Urban Infrastructure Studies, Morgan State Univ. Email: [email protected]
Hyeon-Shic Shin [email protected]
3Associate Professor, Dept. of City and Regional Planning, Morgan State Univ. Email: [email protected]

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