| 2/2018 - 2 |
Efficient Placement of Electric Vehicles Charging Stations using Integer Linear ProgrammingMILJANIC, Z.   , RADULOVIC, V. , LUTOVAC, B. |
Extra paper information in    |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (1,300 KB) | Citation | Downloads: 1,505 | Views: 4,931 |
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
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. |
| References | | | Cited By |
Web of Science® Times Cited: 14 [View]
View record in Web of Science® [View]
View Related Records® [View]
Updated today
SCOPUS® Times Cited: 18
View record in SCOPUS® [Free preview]
View citations in SCOPUS® [Free preview]
Updated today
[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 1573-2975, Issue 9, Volume 26, 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 Simona, 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]
Updated today
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
