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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2018 - 2

 HIGH-IMPACT PAPER 

Efficient Placement of Electric Vehicles Charging Stations using Integer Linear Programming

MILJANIC, Z. See more information about MILJANIC, Z. on SCOPUS See more information about MILJANIC, Z. on IEEExplore See more information about MILJANIC, Z. on Web of Science, RADULOVIC, V. See more information about  RADULOVIC, V. on SCOPUS See more information about  RADULOVIC, V. on SCOPUS See more information about RADULOVIC, V. on Web of Science, LUTOVAC, B. See more information about LUTOVAC, B. on SCOPUS See more information about LUTOVAC, B. on SCOPUS See more information about LUTOVAC, B. on Web of Science
 
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Download PDF pdficon (1,300 KB) | Citation | Downloads: 1,370 | Views: 3,960

Author keywords
charging stations, electric vehicles, integer linear programming, optimization, path planning

References keywords
electric(21), vehicle(14), charging(13), optimal(11), vehicles(9), stations(9), research(9), transportation(8), planning(8), hybrid(8)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-05-31
Volume 18, Issue 2, Year 2018, On page(s): 11 - 16
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.02002
Web of Science Accession Number: 000434245000002
SCOPUS ID: 85047873107

Abstract
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This paper presents an efficient optimization approach for the placement of electric vehicles charging stations within the road network. The approach is based on the integer linear programming technique for solving optimization problems. In this paper, the optimization problem is formulated as complex combinatorial problem with goal to find minimum number of strategically selected locations for charging stations which will enable covering of the route between each two nodes of the road network. The necessary input data are the road network configuration with distances and adopted electric vehicle autonomy. The input data are used for creation of the graph representing the road infrastructure with nodes as potential locations for charging stations. The application of proposed approach is demonstrated on example road configuration with emphasis on its scalability, generality and processing cost.


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Cited-By CrossRef

[1] Charging station location problem: A comprehensive review on models and solution approaches, Kchaou-Boujelben, Mouna, Transportation Research Part C: Emerging Technologies, ISSN 0968-090X, Issue , 2021.
Digital Object Identifier: 10.1016/j.trc.2021.103376
[CrossRef]

[2] A Constraint-Based Routing and Charging Methodology for Battery Electric Vehicles With Deep Reinforcement Learning, Zhang, Ying, Li, Muyang, Chen, Yuanchang, Chiang, Yao-Yi, Hua, Yunpeng, IEEE Transactions on Smart Grid, ISSN 1949-3053, Issue 3, Volume 14, 2023.
Digital Object Identifier: 10.1109/TSG.2022.3214680
[CrossRef]

[3] Fast-Charging Station Deployment Considering Elastic Demand, Gan, Xiaoying, Zhang, Haoxiang, Hang, Gai, Qin, Zhida, Jin, Haiming, IEEE Transactions on Transportation Electrification, ISSN 2332-7782, Issue 1, Volume 6, 2020.
Digital Object Identifier: 10.1109/TTE.2020.2964141
[CrossRef]

[4] Application of AOA algorithm for optimal placement of electric vehicle charging station to minimize line losses, Kathiravan, K., Rajnarayanan, P.N., Electric Power Systems Research, ISSN 0378-7796, Issue , 2023.
Digital Object Identifier: 10.1016/j.epsr.2022.108868
[CrossRef]

[5] Two-stage optimal allocation of charging stations based on spatiotemporal complementarity and demand response: A framework based on MCS and DBPSO, Yi, Tao, Cheng, Xiaobin, Peng, Peng, Energy, ISSN 0360-5442, Issue , 2022.
Digital Object Identifier: 10.1016/j.energy.2021.122261
[CrossRef]

[6] Application of Aoa Algorithm for Optimal Placement of Electric Vehicle Charging Station to Minimize Line Losses, P N, RAJNARAYANAN, K, Kathiravan, SSRN Electronic Journal, ISSN 1556-5068, 2022.
Digital Object Identifier: 10.2139/ssrn.4183173
[CrossRef]

[7] Electric vehicles in a smart grid: a comprehensive survey on optimal location of charging station, Bilal, Mohd, Rizwan, Mohammad, IET Smart Grid, ISSN 2515-2947, Issue 3, Volume 3, 2020.
Digital Object Identifier: 10.1049/iet-stg.2019.0220
[CrossRef]

[8] Intelligent Charging Control of Power Aggregator for Electric Vehicles Using Optimal Control, ALKAWAZ, A. N., KANESAN, J., MOHD KHAIRUDDIN, A. S., CHOW, C. O., SINGH, M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 21, 2021.
Digital Object Identifier: 10.4316/AECE.2021.04003
[CrossRef] [Full text]

[9] Electric vehicle controllers for sustainable energy management: recommendations and challenges, Gunjal, Mohini, Mathew, Lini, Sudha Letha, Shimi, Environment, Development and Sustainability, ISSN 1387-585X, 2023.
Digital Object Identifier: 10.1007/s10668-023-03561-x
[CrossRef]

[10] Demand-Aware Provisioning of Electric Vehicles Fast Charging Infrastructure, Kabir, Mohammad Ekramul, Assi, Chadi, Alameddine, Hyame, Antoun, Joseph, Yan, Jun, IEEE Transactions on Vehicular Technology, ISSN 0018-9545, Issue 7, Volume 69, 2020.
Digital Object Identifier: 10.1109/TVT.2020.2993509
[CrossRef]

[11] Multiobjective Planning Strategy for the Placement of Electric-Vehicle Charging Stations Using Hybrid Optimization Algorithm, Muthukannan, S., Karthikaikannan, D., IEEE Access, ISSN 2169-3536, Issue , 2022.
Digital Object Identifier: 10.1109/ACCESS.2022.3168830
[CrossRef]

[12] Optimal Deployment of Electric Vehicles’ Fast-Charging Stations, Ullah, Irfan, Liu, Kai, Layeb, Safa Bhar, Severino, Alessandro, Jamal, Arshad, Wang, Lei, Journal of Advanced Transportation, ISSN 2042-3195, Issue , 2023.
Digital Object Identifier: 10.1155/2023/6103796
[CrossRef]

[13] Design and Simulation of Romanian Solar Energy Charging Station for Electric Vehicles, Badea, Gheorghe, Felseghi, Raluca-Andreea, Varlam, Mihai, Filote, Constantin, Culcer, Mihai, Iliescu, Mariana, Răboacă, Maria, Energies, ISSN 1996-1073, Issue 1, Volume 12, 2018.
Digital Object Identifier: 10.3390/en12010074
[CrossRef]

[14] Optimal Allocation of Fast Charging Station for Integrated Electric-Transportation System Using Multi-Objective Approach, Mohanty, Ajit Kumar, Suresh Babu, Perli, Salkuti, Surender Reddy, Sustainability, ISSN 2071-1050, Issue 22, Volume 14, 2022.
Digital Object Identifier: 10.3390/su142214731
[CrossRef]

[15] Performance Assessment of a Direct Torque Controlled Electric Vehicle considering Driving Cycles and Real Load Conditions, Oubelaid, Adel, Taib, Nabil, Rekioua, Toufik, 2019 International Conference on Advanced Electrical Engineering (ICAEE), ISBN 978-1-7281-2220-5, 2019.
Digital Object Identifier: 10.1109/ICAEE47123.2019.9014665
[CrossRef]

[16] A Review of the Optimal Allocation of Electric Vehicle Charging Stations, Massarat, Rassiya, Thomas, Mini Shaji, 2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON), ISBN 978-1-6654-9382-6, 2023.
Digital Object Identifier: 10.1109/REEDCON57544.2023.10151058
[CrossRef]

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