A Literature Review on Optimal Placement of Electric Vehicle Charging Stations
Keywords:
Literature Review, EVCS Location, Optimization, Electric VehicleAbstract
Indonesia's greenhouse gas emissions were almost 697.75 million tons in 2022. The largest source of emissions is from the supply side, which accounts for around 50% of total emissions. On the demand side, the transport sector is the largest source of emissions, with 90% of total emissions coming from road transportation. Switching to electric vehicles (EVs) is one of the easy strategies to
implement to reduce emissions. Electric vehicle charging station (EVCS) planning has a strategic impact on promoting the use of EVs. This paper presents a comprehensive literature review on optimal EVCS placement, covering models and methodologies, including GIS-based approaches, machine learning techniques, multi-criteria decision analysis (MCDA), and advanced optimization algorithms. The aim is to analyze trends, identify gaps, and synthesize findings to comprehensively understand effective EVCS placement strategies, contributing to Indonesia's goal of achieving a low-carbon future. The findings in this paper highlight the importance of integrating robust optimization models into national infrastructure plans to support sustainable growth in EV adoption.
Downloads
References
K. L. H. dan K. KLHK, “Laporan Inventarisasi Gas Rumah Kaca (GRK) dan Monitoring, Pelaporan, Verifikasi (MPV) 2023,” 2023.
K. L. H. dan K. KLHK, “Indonesia Long-Term Strategy for Low Carbon and Climate Resilience 2050 (Indonesia LTS-LCCR 2050),” 2021.
Z. Mera and G. Bieker, “Comparison of The Life-Cycle Greenhouse Gas Emissions of Combustion Engine and Electric Passenger Cars and Two-Wheelers in Indonesia,” 2023. [Online]. Available: www.theicct.org
J. Y. Yong, V. K. Ramachandaramurthy, K. M. Tan, and N. Mithulananthan, “A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects,” May 16, 2015, Elsevier Ltd. doi: 10.1016/j.rser.2015.04.130.
M. F. N. Maghfiroh, A. H. Pandyaswargo, and H. Onoda, “Current readiness status of electric vehicles in indonesia: Multistakeholder perceptions,” Dec. 01, 2021, MDPI. doi: 10.3390/su132313177.
A. K. Karmaker, S. Behrens, M. J. Hossain, and H. Pota, “Multi-stakeholder perspectives for transport electrification: A review on placement and scheduling of electric vehicle charging infrastructure,” Nov. 15, 2023, Elsevier Ltd. doi: 10.1016/j.jclepro.2023.139145.
T. Muka et al., “A 24-step guide on how to design, conduct, and successfully publish a systematic review and meta-analysis in medical research,” Eur J Epidemiol, vol. 35, no. 1, pp. 49–60, Jan. 2020, doi: 10.1007/s10654-019-00576-5.
A. Narayanan, R. Nair, and K. Kulkarni, “A City-Agnostic Framework to Determine Optimal Location and Sizing of Electric Vehicle Charge Stations,” in 2023 IEEE 2nd International Conference on Data, Decision and Systems, ICDDS 2023, Institute of Electrical and Electronics Engineers Inc., 2023. doi: 10.1109/ICDDS59137.2023.10434928.
A. Charly, N. J. Thomas, A. Foley, and B. Caulfield, “Identifying optimal locations for community electric vehicle charging,” Sustain Cities Soc, vol. 94, Jul. 2023, doi: 10.1016/j.scs.2023.104573.
F. Alanazi, T. O. Alshammari, and A. Azam, “Optimal Charging Station Placement and Scheduling for Electric Vehicles in Smart Cities,” Sustainability (Switzerland), vol. 15, no. 22, Nov. 2023, doi: 10.3390/su152216030.
E. Sarmas et al., “Optimal site selection of electric vehicle charging stations exploiting multi-criteria decision analysis: The case of Greek municipalities,” Technical Annals, vol. 1, no. 2, Apr. 2023, doi: 10.12681/ta.33632.
P. Zare, A. Dejamkhooy, and I. F. Davoudkhani, “Efficient expansion planning of modern multi-energy distribution networks with electric vehicle charging stations: A stochastic MILP model,” Sustainable Energy, Grids and Networks, vol. 38, Jun. 2024, doi: 10.1016/j.segan.2023.101225.
H. Woo, Y. Son, J. Cho, S. Y. Kim, and S. Choi, “Optimal expansion planning of electric vehicle fast charging stations,” Appl Energy, vol. 342, Jul. 2023, doi: 10.1016/j.apenergy.2023.121116.
M. Altaf et al., “PSO-based optimal placement of electric vehicle charging stations in a distribution network in smart grid environment incorporating backward forward sweep method,” IET Renewable Power Generation, 2023, doi: 10.1049/rpg2.12916.
A. N. Ulfa, J. T. Putra, R. Khomarudin, and A. Pradana, “Optimization planning of distributed generation and electric vehicle charging station using flower pollination algorithm,” in AIP Conference Proceedings, American Institute of Physics Inc., Feb. 2023. doi: 10.1063/5.0117423.
T. Yuvaraj, K. R. Devabalaji, J. A. Kumar, S. B. Thanikanti, and N. I. Nwulu, “A Comprehensive Review and Analysis of the Allocation of Electric Vehicle Charging Stations in Distribution Networks,” IEEE Access, vol. 12, pp. 5404–5461, 2024, doi: 10.1109/ACCESS.2023.3349274.
S. Mondal, P. Acharjee, and A. Bhattacharya, “Determination of maximum additional load for EV charging station considering practical security limits,” Journal of Engineering and Applied Science, vol. 70, no. 1, Dec. 2023, doi: 10.1186/s44147-023-00204-w.
X. Bai, K. S. Chin, and Z. Zhou, “A bi-objective model for location planning of electric vehicle charging stations with GPS trajectory data,” Comput Ind Eng, vol. 128, pp. 591–604, Feb. 2019, doi: 10.1016/j.cie.2019.01.008.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 ITB Graduate School Conference
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
