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Journal articles on the topic 'Charging station location selection'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Qin, Jianxin, Jing Qiu, Yating Chen, Tao Wu, and Longgang Xiang. "Charging Stations Selection Using a Graph Convolutional Network from Geographic Grid." Sustainability 14, no. 24 (2022): 16797. http://dx.doi.org/10.3390/su142416797.

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Electric vehicles (EVs) have attracted considerable attention because of their clean and high-energy efficiency. Reasonably planning a charging station network has become a vital issue for the popularization of EVs. Current research on optimizing charging station networks focuses on the role of stations in a local scope. However, spatial features between charging stations are not considered. This paper proposes a charging station selection method based on the graph convolutional network (GCN) and establishes a charging station selection method considering traffic information and investment cos

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Keawthong, Pichamon, Veera Muangsin, and Chupun Gowanit. "Location Selection of Charging Stations for Electric Taxis: A Bangkok Case." Sustainability 14, no. 17 (2022): 11033. http://dx.doi.org/10.3390/su141711033.

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The transition from ICE to BEV taxis is one of the most important methods for reducing fossil fuel consumption and air pollution in cities such as Bangkok. To support this transition, an adequate number of charging stations to cover each area of charging demand must be established. This paper presents a data-driven process for determining suitable charging locations for BEV taxis based on their characteristic driving patterns. The location selection process employs GPS trajectory data collected from taxis and the locations of candidate sites. Suitable locations are determined based on estimate

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Ma, Hao, Wenhui Pei, Qi Zhang, Di Xu, and Yongjing Li. "Location of Electric Vehicle Charging Stations Based on Game Theory." World Electric Vehicle Journal 14, no. 5 (2023): 128. http://dx.doi.org/10.3390/wevj14050128.

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In order to solve the design problem of electric vehicle charging station distribution, based on the consideration of user and investor costs, this paper establishes a mixed integer model for charging station site selection based on game theory ideas. Among them, the user cost is determined by two indicators, namely, the cost of time for users to reach the charging station and the cost of time for users to wait in line, while the cost of the charging station is determined by the construction cost and the daily operation and maintenance cost. In the established model, the hierarchical analysis

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4

Zhang, Shiye. "Location Selection of Electric Vehicles Charging Stations Based on Analytical Hierarchy Process and Clustering Algorithm." Advances in Engineering Technology Research 6, no. 1 (2023): 631. http://dx.doi.org/10.56028/aetr.6.1.631.2023.

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In recent years, the charging infrastructure for electric vehicles (EVs) in China has been developing quickly, yet the charging station industry still faces problems such as unreasonable layout, difficulty in profitability and limited coverage. Based on this, this paper systematically compared the key factors of charging facility location and used the AHP method to measure the degree of influence of various factors at different levels on the location of charging stations of enterprises, so as to establish a scientific and reasonable evaluation model for the location of charging stations. Secon

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Hehuan and GeQin. "Location planning of electric taxi charging station based on driving trajectory." E3S Web of Conferences 271 (2021): 01024. http://dx.doi.org/10.1051/e3sconf/202127101024.

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With the vigorous development of energy technology, the promotion and use of electric vehicles has brought new vitality to the development of ecological environment. According to the big data of taxi travel trajectory, we can get the idle rule of taxi operation time. Taking the idle time and location of taxi as the demand hot spot, taking the location points along the road network of the research area as the candidate points, this paper uses ArcGIS to do the location planning of charging station, so that the charging station can reduce the charging anxiety of taxi drivers, meet the charging de

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Yi, Tao, Xiao-bin Cheng, Hao Zheng, and Jin-peng Liu. "Research on Location and Capacity Optimization Method for Electric Vehicle Charging Stations Considering User’s Comprehensive Satisfaction." Energies 12, no. 10 (2019): 1915. http://dx.doi.org/10.3390/en12101915.

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The development of electric vehicles has significant value for the sustainable utilization of energy resources. However, the unreasonable construction of charging stations causes problems such as low user satisfaction, waste of land resources, unstable power systems, and so on. Reasonable planning of the location and capacity of charging stations is of great significance to users, investors and power grids. This paper synthetically considers three indicators of user satisfaction: charging convenience, charging cost and charging time. Considering the load and charging requirements, the model of

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Shi, Tengyuan, and Jin Shen. "Locating and Sizing Planning of Electric Vehicle Battery-swapping Stations Considering User Path Selection." Journal of Physics: Conference Series 2479, no. 1 (2023): 012001. http://dx.doi.org/10.1088/1742-6596/2479/1/012001.

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Abstract According to the characteristics of an electric vehicle’s charging mode and considering the user path selection, a two-level programming optimization model of EV battery-swapping station locating, and sizing planning is established. The daily power exchange demand load is predicted, and the service area of the battery-swapping station is divided by the Voronoi diagram. The upper model optimizes the location, and the optimized number of battery-swapping stations is passed to the lower model to realize the constant volume optimization. Finally, the feasibility and rationality of the opt

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8

Zhang, Hong, and Feifan Shi. "A multi-objective site selection of electric vehicle charging station based on NSGA-II." International Journal of Industrial Engineering Computations 15, no. 1 (2024): 293–306. http://dx.doi.org/10.5267/j.ijiec.2023.9.009.

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The planning of charging infrastructure is crucial to developing electric vehicles. Planning for charging stations requires considering several variables, including building costs, charging demand, and coverage levels. It might be advantageous to use a multi-objective optimization method based on the NSGA-II. We need to address the current problems in choosing the location of electric vehicle charging stations. Firstly, urban land use is divided into five functional areas, and the TF-IDF algorithm is applied to the division of functional areas. A combined clustering algorithm is proposed to cl

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Zhu, Guangyuan, Weiqing Wang, and Wei Zhu. "Research on the Location and Capacity Determination Strategy of Off-Grid Wind–Solar Storage Charging Stations Based on Path Demand." Processes 13, no. 3 (2025): 786. https://doi.org/10.3390/pr13030786.

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To address the challenges of cross-city travel for different types of electric vehicles (EV) and to tackle the issue of rapid charging in regions with weak power grids, this paper presents a strategic approach for locating and sizing highway charging stations tailored to such grid limitations. Initially, considering the initial EV state of charge, a path-demand-based model for EV charging station location–allocation is proposed to optimize station numbers and enhance vehicle flow, which indicates the passing rate of vehicles. Subsequently, a capacity configuration model is formulated, integrat

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Gkiotsalitis, Konstantinos, Dimitrios Rizopoulos, Marilena Merakou, Christina Iliopoulou, Tao Liu, and Oded Cats. "Electric bus charging station location selection problem with slow and fast charging." Applied Energy 382 (March 2025): 125242. https://doi.org/10.1016/j.apenergy.2024.125242.

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11

Handrea, Bernando Tambunan, Bayu Sitanggang Ruly, Muslih Mafruddin Muhammad, et al. "Initial location selection of electric vehicles charging infrastructure in urban city through clustering algorithm." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 3266–80. https://doi.org/10.11591/ijece.v13i3.pp3266-3280.

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Transportation is one of the critical sectors worldwide, mainly based on fossil fuels, especially internal combustion engines. In a developing country, heightened dependence on fossil fuels affected energy sustainability issues, greenhouse gas emissions, and increasing state budget allocation towards fuel subsidies. Moreover, shifting to electric vehicles (EVs) with alternative energy, primely renewable energy sources, is considered a promising alternative to decreasing dependence on fossil fuel consumption. The availability of a sufficient EV charging station infrastructure is determined as a

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12

Chumbi, Wilson Enrique, Roger Martínez-Minga, Sergio Zambrano-Asanza, Jonatas B. Leite, and John Fredy Franco. "Suitable Site Selection of Public Charging Stations: A Fuzzy TOPSIS MCDA Framework on Capacity Substation Assessment." Energies 17, no. 14 (2024): 3452. http://dx.doi.org/10.3390/en17143452.

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The number of electric vehicles (EVs) continues to increase in the automobile market, driven by public policies since they contribute to the global decarbonization of the transportation sector. Still, the main challenge to increasing EV adoption is charging infrastructure. Therefore, the site selection of public EV charging stations should be made very carefully to maximize EV usage and address the population’s range anxiety. Since electricity demand for charging EVs introduces new load shapes, the interrelationship between the location of charging stations and long-term electrical grid planni

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13

Debani, Prasad Mishra, Swaroop Nayak Pranav, Kumar Aman, and Reddy Salkuti Surender. "Strategic Deployment of EV Charging Infrastructure: An In-Depth Exploration of Optimal Location Selection and CC-CV Charging Strategies." International Journal of Informatics and Communication Technology 14, no. 1 (2025): 259–67. https://doi.org/10.11591/ijict.v14i1.pp259-267.

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The continued expansion of the electric vehicle (EV) market necessitates strategic planning for the placement of charging stations to ensure efficient access and utilization of electric infrastructure. This paper presents a comprehensive review of the critical factors in optimizing the selection of EV charging station locations, along with the implementation of Constant Current-Constant Voltage (CC-CV) charging models. The study addresses the challenges and opportunities in identifying the most effective locations for charging stations to accommodate the growing demand for sustainable transpor

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14

Istiqomah, Silvi, Wahyudi Sutopo, Muhammad Hisjam, and Hendro Wicaksono. "Optimizing Electric Motorcycle-Charging Station Locations for Easy Accessibility and Public Benefit: A Case Study in Surakarta." World Electric Vehicle Journal 13, no. 12 (2022): 232. http://dx.doi.org/10.3390/wevj13120232.

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Many benefits follow from the use of Electric Vehicles (EVs) to replace fossil fuel-based vehicles (FVs), i.e., improved transportation energy efficiency, reduced carbon and noise emissions, and the mitigation of tailpipe emissions. However, replacing conventional FVs with EVs requires the establishment of a suitable charging infrastructure representing a commonplace detail that blends into the landscape and is available in various locations. This research focuses on the infrastructure of Electric Motorcycles (EM), constituting a relatively dense network of charging stations (CS), which is an

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15

Tambunan, Handrea Bernando, Ruly Bayu Sitanggang, Muhammad Muslih Mafruddin, et al. "Initial location selection of electric vehicles charging infrastructure in urban city through clustering algorithm." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 3266. http://dx.doi.org/10.11591/ijece.v13i3.pp3266-3280.

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Abstract:

Transportation is one of the critical sectors worldwide, mainly based on fossil fuels, especially internal combustion engines. In a developing country, heightened dependence on fossil fuels affected energy sustainability issues, greenhouse gas emissions, and increasing state budget allocation towards fuel subsidies. Moreover, shifting to electric vehicles (EVs) with alternative energy, primely renewable energy sources, is considered a promising alternative to decreasing dependence on fossil fuel consumption. The availability of a sufficient EV charging station infrastructure is determined as a

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16

Mazur, Maciej, Jacek Dybała, and Aldona Kluczek. "Suitable law-based location selection of high-power electric vehicles charging stations on the TEN-T core network for sustainability: a case of Poland." Archives of Transport 69, no. 1 (2024): 75–90. http://dx.doi.org/10.61089/aot2024.1mrj1x75.

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With the upcoming implementation of the amendment to Regulation (EU) 2019/631 of the European Parliament and of the Council, from 2035 there will be a ban on the registration of new vehicles with internal combustion engines (ICE) in the Member States of the European Union (EU). Consequently, changes in the transportation sector, resulting from the increasing use of electric vehicles, appear to be inevitable. According to the adopted legal acts, the European Union Member States will be obliged to develop, among others, a charging infrastructure and access to public charging stations for electri

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Mishra, Debani Prasad, Pranav Swaroop Nayak, Aman Kumar, and Surender Reddy Salkuti. "Strategic Deployment of EV Charging Infrastructure: An In-Depth Exploration of Optimal Location Selection and CC-CV Charging Strategies." International Journal of Informatics and Communication Technology (IJ-ICT) 14, no. 1 (2025): 259. https://doi.org/10.11591/ijict.v14i1.pp259-267.

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<span lang="EN-US">The continued expansion of the electric vehicle (EV) market necessitates strategic planning for the placement of charging stations to ensure efficient access and utilization of electric infrastructure. This paper presents a comprehensive review of the critical factors in optimizing the selection of EV charging station locations, along with the implementation of Constant Current-Constant Voltage (CC-CV) charging models. The study addresses the challenges and opportunities in identifying the most effective locations for charging stations to accommodate the growing demand

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18

Jiang, Yi. "Layout and optimization of charging piles for new energy electric vehicles – A study on Xi'an urban area." E3S Web of Conferences 424 (2023): 01009. http://dx.doi.org/10.1051/e3sconf/202342401009.

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This paper analyzes the current layout of public charging stations within the third ring road of Xi'an central urban area and the daily charging needs of residents, the main problems in the layout of electric vehicle charging stations in the central urban area of Xi'an were found, the differentiated demand analysis of living space charging was carried out, and the location model of electric vehicle public charging station facilities in the central urban area of the city was constructed, the location selection and optimization of electric vehicle public charging stations in the central urban ar

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19

Wang, Jing-min, Yan Liu, Yi-fei Yang, Wei Cai, Dong-xuan Wang, and Zhao-wei Jia. "The Location of Electric Vehicle Charging Stations based on FRLM with Robust Optimization." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 08 (2019): 1959027. http://dx.doi.org/10.1142/s0218001419590274.

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It is very important for the application of artificial intelligence to accurately and quickly help the electric vehicles to find matching charging facilities. The site selection for electric vehicle charging station (EVCS) is a new field of artificial intelligence application, using artificial intelligence to analyze the current complex urban electric vehicle driving path, and then determining the location of charging stations. This paper proposes a novel hybrid model to decide the location of EVCS. First of all, this paper carries out the flow-refueling location model (FRLM) based on path req

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20

Suvittawat, Adisak, and Nutchanon Suvittawat. "An Integrated Analysis of Electric Battery Charging Station Selection—Thailand Inspired." World Electric Vehicle Journal 15, no. 9 (2024): 418. http://dx.doi.org/10.3390/wevj15090418.

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The growing adoption of electric vehicles (EVs) necessitates a well-distributed network of charging stations. However, selecting optimal locations for these stations is a complex issue influenced by geographic, demographic, technical, and economic factors. This study aims to fill the gaps in previous research by providing a comprehensive analysis of factors influencing the selection of EV battery charging stations. This research focuses on integrating geographic, demographic, technical, and infrastructure considerations to inform strategic placement decisions. A quantitative approach was emplo

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Ahn, Namhyun, So Jo, and Suk-Ju Kang. "Constraint-Aware Electricity Consumption Estimation for Prevention of Overload by Electric Vehicle Charging Station." Energies 12, no. 6 (2019): 1000. http://dx.doi.org/10.3390/en12061000.

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An increase in the number of electrical vehicles has resulted in an increase in the number of electrical vehicle charging stations. As a result, the electricity load consumed by charging stations has become large enough to de-stabilize the electricity supply system. Therefore, real-time monitoring of how much electricity each charging station is consuming has become very much important. However, only limited information such as charging time is available from the operators of electric vehicle charging stations. The actual electricity consumption data is not provided in real time. Conventional

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Wang, Teng. "Summary of Research on Electric Vehicle Charging Station Planning." Academic Journal of Science and Technology 13, no. 3 (2024): 135–40. https://doi.org/10.54097/r7z3a732.

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Electric vehicles (EV), as a low-carbon and environmentally friendly means of transportation, have rapid evolution in recent years. The insufficient and uneven distribution of charging infrastructure has become a significant factor limiting the progress of electric vehicles. This paper reviews the current research results from two aspects of public and private transportation, focusing on the model construction of charging station location and the selection and optimization of solving algorithms. In the aspect of public transportation, the charging schedule of night station charging and BOT mod

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23

Takahashi, Seigo, Yuki Kinoshita, Nora Schelte, Semih Severengiz, and Tetsuo Yamada. "2-Stage Design of E-Moped-Sharing Service for Accessibility, Greenhouse Gas Emissions, and Cost Through Station and Supplier Selections." Energies 18, no. 7 (2025): 1644. https://doi.org/10.3390/en18071644.

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In recent years, there has been a call for a shift to transportation with lower greenhouse gas (GHG) emissions in order to combat global warming. One of the ecofriendly transportation methods is an electric moped scooter (e-moped)-sharing service that does not emit GHG when it runs. It is necessary to plan the location of charging stations and the material procurement through the manufacturing of e-mopeds in order to reduce the cost and GHG emissions and to improve the accessibility of the service. In this study, a two-stage design on the e-moped-sharing services is proposed to allocate chargi

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Tao, Lei, Xing Tong, Xin He, Hui Xu, and Zhong Fu Tan. "Location Analysis of Electric Vehicle Charging Station Based on the Floyd Shortest Path Algorithm." Applied Mechanics and Materials 389 (August 2013): 1014–18. http://dx.doi.org/10.4028/www.scientific.net/amm.389.1014.

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Whether charging the electric vehicle is convenient has an important impact on the promotion of electric vehicles, the construction of charging stations should minimize the total cost of charging the electric vehicles. In order to select the optimal building addresses of charging stations, this paper proposed a site selection method based on the Floyd shortest path algorithm. This method uses the analysis of the shortest charging path between the electric car rallying points by shortest path method, and combines the assumption of charging cost and the number of charging stations in order to mi

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Krunal R. Patel. "A Comprehensive Review of Electric Vehicle Charging Station with the Scope of Renewable Hybrid Energy and Fuel Cell Integration." Journal of Information Systems Engineering and Management 10, no. 50s (2025): 740–52. https://doi.org/10.52783/jisem.v10i50s.10354.

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A renewable energy (RE) based system is a pollution-reductive and cost-effective solution while considering life cycle of RE system for electric vehicle charging stations (EVCS). In which solar photovoltaics, wind turbines, fuel cells, and biogas etc., are utilized to generate electricity that can be used in grid-tied or stand-alone charging stations. Due to a lack of grid access, stand-alone EVCS are promoted in tourist, rural and remote areas. The review article covers alternative modelling approaches in conjunction with EVCS standards for off-grid applications. Numerous modelling approaches

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Li, Yongjing, Wenhui Pei, and Qi Zhang. "Improved Whale Optimization Algorithm Based on Hybrid Strategy and Its Application in Location Selection for Electric Vehicle Charging Stations." Energies 15, no. 19 (2022): 7035. http://dx.doi.org/10.3390/en15197035.

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The charging station location model is a nonlinear programming model with complex constraints. In order to solve the problems of weak search ability and low solution accuracy of the whale optimization algorithm (WOA) in solving location models or high-dimensional problems, this paper proposes an improved whale optimization algorithm (IWOA) based on hybrid strategies. Chaos mapping and reverse learning mechanism are introduced in the original algorithm, and the change mode of convergence factor and probability threshold is improved. Through optimization experiments on 18 benchmark functions, th

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Maghfiroh, Meilinda, and Chathumi Kavirathna. "Location Selection of Battery Swap Station using Fuzzy MCDM Method: A Case Study in Indonesia." Jurnal Teknik Industri 24, no. 2 (2023): 81–94. http://dx.doi.org/10.22219/jtiumm.vol24.no2.81-94.

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The rise of Electric Vehicles (EVs), supported by battery swap systems, brings various advantages, including reduced waiting times, lower upfront costs, and alleviating range anxiety. Battery Swap Stations (BSS) enhance green transportation by providing convenient options for EV users, especially in regions with limited fast-charging infrastructure. Many EVs, especially two-wheelers, need battery recharging after reaching their driving range. BSS availability can eliminate charging inconveniences for busy EV drivers. However, selecting BSS locations is often challenging due to budget constrain

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Muchhal, Abhishek N. "Design of 60kW Solar PV Powered Charging and Parking Station for EV System in India." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47384.

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Abstract: Charging stations are the main source of energy for EVs and their locations are critical to the accessibility of EVs in a city. Thus, the demand for plug-in electric vehicles (PEVs) charging for public vehicle charging systems is increasing. This paper reports the design of a 60-kW solar photovoltaic (SPV) charging station for plug-in electric vehicles. The purpose of the proposed system is to create a powerful, intelligent charging station that is powered by solar energy for charging PHEVs at workplaces The selection and recommendation of PV modules, inverter rating, and battery ban

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Aqidawati, Era Febriana, and Roikhanatun Nafi'ah. "Selection of Charging Station Location based on Sustainability Perspective using AHP Method." Jurnal Tekno 20, no. 1 (2023): 24–39. http://dx.doi.org/10.33557/jtekno.v20i1.2332.

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The acceleration of electric vehicle (EV) development in Indonesia to support energy and environmental sustainability has taken over and attracted the attention of many parties. Various policies, programs, and research outputs have made the public aware of EVs. However, the availability of charging stations (CS) in the community and the optimal placement are matters of great concern as CS is an essential infrastructure that enhances EV development. Therefore, to support sustainable urban development, CS location selection must consider a sustainability perspective in decision-making. In this s

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Zhao, Hui, Jing Gao, and Xian Cheng. "Electric Vehicle Solar Charging Station Siting Study Based on GIS and Multi-Criteria Decision-Making: A Case Study of China." Sustainability 15, no. 14 (2023): 10967. http://dx.doi.org/10.3390/su151410967.

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Electric vehicles (EVs) are one of the most practical solutions to the energy issue and environmental pollution. In recent years, EVs have developed rapidly, but are still limited by charging problems. The emergence of photovoltaic charging stations can solve the environmental pollution and charging problems. The location of charging stations is critical in the life cycle of electric vehicles. In this paper, a multiple-criteria decision-making (MCDM) method based on Geographic Information Technology (GIS) for optimal site selection is proposed. First, based on literature reading and expert int

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Mortimer, Benedict J., Christopher Hecht, Rafael Goldbeck, Dirk Uwe Sauer, and Rik W. De Doncker. "Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data." World Electric Vehicle Journal 13, no. 6 (2022): 94. http://dx.doi.org/10.3390/wevj13060094.

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The current increase of electric vehicles in Germany requires an adequately developed charging infrastructure. Large numbers of public and semi-public charging stations are necessary to ensure sufficient coverage. To make the installation worthwhile for the mostly private operators as well as public ones, a sufficient utilization is decisive. An essential factor for the degree of utilization is the placement of a charging station. Therefore, the initial site selection plays a critical role in the planning process. This paper proposes a charging station placement procedure based on real-world d

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Haces-Fernandez, Francisco. "Risk Assessment Framework for Electric Vehicle Charging Station Development in the United States as an Ancillary Service." Energies 16, no. 24 (2023): 8035. http://dx.doi.org/10.3390/en16248035.

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Promoting the accelerated adoption of electric vehicles (EVs) in the United States (US) is one of the main strategies for reducing risk related to climate change. However, the lack of public charging stations (EVCSs) in the US has been identified as a grave obstacle to EV market penetration. The US Federal Government is providing extensive financial incentives to promote EVCSs. This allows diverse businesses to offer EV charging as an ancillary service, without the risks associated with traditional fuel facilities. Locations offering these novel services will reduce their financial operational

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Méndez-Jaramillo, Edgar, Iván Coronel-Villavicencio, Edwin Paccha-Herrera, Bryan Briceño-Martínez, Erik Tapia-Viñan, and Jefferson Camacho-Muñoz. "Feasibility analysis of charging stations for electric vehicles. Case study route E35, Loja-Cuenca in Ecuador." IOP Conference Series: Earth and Environmental Science 1370, no. 1 (2024): 012003. http://dx.doi.org/10.1088/1755-1315/1370/1/012003.

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Abstract This paper analyzes a methodology to identify suitable charging stations for electric vehicles (EV) and locate them on the E35 Pan-American Highway, between the cities of Loja and Cuenca, in Ecuador, to promote the use of EVs and reduce dependence on fossil fuels. The study employs several selection criteria, such as government and international regulations, to determine the best type of charging station for the route. The literature review reveals that international standards shape the infrastructure of charging stations in Ecuador, and a fast-charging station with an-output power of

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Cai, Li, Junting Li, Haitao Zhu, et al. "Charging Station Site Selection Optimization for Electric Logistics Vehicles, Taking into Account Time-Window and Load Constraints." World Electric Vehicle Journal 15, no. 5 (2024): 181. http://dx.doi.org/10.3390/wevj15050181.

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In order to improve the efficiency of the “last-mile” distribution in urban logistics and solve the problem of the difficult charging of electric logistics vehicles (ELVs), this paper proposes a charging station location optimization scheme for ELVs that takes into account time-window and load constraints (TW-LCs). Taking the optimal transportation path as the objective function and considering the time-window and vehicle load constraints, a charging station siting model was established. For the TW-LC problem, an improved genetic algorithm combining the farthest-insertion heuristic idea and lo

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Ahmed, Ahmed Jassim, Mohammed H. Alkhafaji, and Ali Jafer Mahdi. "DECISION-MAKING METHOD FOR THE OPTIMUM ALLOCATION OF CHARGING STATIONS Of ELECTRIC VEHICLE IN DISTRIBUTION NETWORKS." Tekhnichna Elektrodynamika 2023, no. 1 (2023): 67–75. http://dx.doi.org/10.15407/techned2023.01.067.

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Electric vehicles are becoming prominent nowadays and playing an important role in the transportation sector as conventional vehicles affect the environment. The rising number of vehicles requires increasing the charging stations, which affects the distribution network if placed randomly. Therefore, selecting the optimal place for these charging stations is very important to mitigate the effect on the distribution system. This paper presents a decision-making method to select the location of the charging station in a radial distribution system optimally. The fixed point algorithm was used for

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Vaishnavee, Guhe1 &. D. A. Shahakar2. "REVIEW ON DESIGN OF INTELLIGENT CHARGING STATION FOR ELECTRICAL VEHICLES." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES [NC-Rase 18] (November 16, 2018): 9–17. https://doi.org/10.5281/zenodo.1489809.

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Electrical vehicles (EVs) promote environmental protection and energy conservation due to their growing used. Plug-in electric vehicles (PEVs) powered by electricity from low carbon emission grids can provide significant benefits in terms of reducing the climate impact from transportation and minimizing transport grid’s reliance on oil-based fuels. PEVs provide a cleaner and quieter environment; reduce operating costs at the same time. A careful selection of charging location and capacity of charging stations is the first step in planning the accommodation of large set of EVs. However th

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Sani, G. M., A. M. Abas, N. Yusoff, and M. F. Said. "Site selection for electric vehicle charging stations using GIS with MCDM AHP FAHP and TOPSIS techniques. A Review." IOP Conference Series: Earth and Environmental Science 1274, no. 1 (2023): 012019. http://dx.doi.org/10.1088/1755-1315/1274/1/012019.

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Abstract Electric vehicles are becoming more popular because they are not only helping countries’ economies by lessening dependency on oil but also helping in creating clean environments that are more habitable and sustainable. One of the most crucial issues in promoting the usage of electric vehicles is the availability of charging stations (CS). This study proposed to use GIS-MCDM methods to produce a model that could be used for selecting appropriate locations for EVCS. MCDM AHP, and FAHP techniques will be used to weigh the criteria regarding accessibility and influence on environment. Fou

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Du, Sizhuo, and D. V. Kapski. "A model for placing electric vehicle charging stations in megapolis based on the sparrow search algorithm." «System analysis and applied information science», no. 3 (November 22, 2024): 12–16. http://dx.doi.org/10.21122/2309-4923-2024-3-12-16.

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Electric vehicles have such characteristics as low energy consumption and low noise level, and therefore are widely used in modern society, especially for movement in cities and megacities. Active use of electric vehicles (passenger cars and rail and trackless passenger transport) in cities and especially in megalopolises reduces the harmful impact on the ecosystem of the settlement and improves the quality of life in general. Movements become less environmentally hazardous and help to reduce harmful emissions into the atmosphere in places of residence and activities of city residents and tour

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Özçekiç, Erol. "Electric Vehicle Charging Station Positioning Problem: Multi-Criteria Decision Making Analysis with Entropy, CoCoSo and EDAS Methods." Biga İktisadi ve İdari Bilimler Fakültesi Dergisi 5, no. 3 (2025): 187–202. https://doi.org/10.70754/biibfd.1594279.

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The increasing adoption of electric vehicles (EVs) underscores the critical need for an efficient and sustainable charging infrastructure. This study addresses the problem of optimal electric vehicle charging station (EVCS) location selection using a multi-criteria decision-making (MCDM) approach. Specifically, the Entropy, CoCoSo (Combined Compromise Solution), and EDAS (Evaluation Based on Distance from Average Solution) methods were applied to evaluate 25 potential locations in Altıeylül. The Entropy method was first employed to objectively determine the weight of each criterion based on th

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Alhazmi, Yassir A., and Ibrahim A. Altarjami. "Optimal Location for Electric Vehicle Fast Charging Station as a Dynamic Load for Frequency Control Using Particle Swarm Optimization Method." World Electric Vehicle Journal 16, no. 7 (2025): 354. https://doi.org/10.3390/wevj16070354.

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There are significant emissions of greenhouse gases into the atmosphere from the transportation industry. As a result, the idea that electric vehicles (EVs) offer a revolutionary way to reduce greenhouse gas emissions and our reliance on rapidly depleting petroleum supplies has been put forward. EVs are becoming more common in many nations worldwide, and the rapid uptake of this technology is heavily reliant on the growth of charging stations. This is leading to a significant increase in their number on the road. This rise has created an opportunity for EVs to be integrated with the power syst

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Hu, Dandan, Xiongkai Li, Chen Liu, and Zhi-Wei Liu. "Integrating Environmental and Economic Considerations in Charging Station Planning: An Improved Quantum Genetic Algorithm." Sustainability 16, no. 3 (2024): 1158. http://dx.doi.org/10.3390/su16031158.

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China’s pursuit of carbon peak and carbon neutrality relies heavily on the widespread adoption of electric vehicles (EVs), necessitating the optimal location and sizing of charging stations (CSs). This study proposes a model for minimizing the overall social cost by considering CS construction and operation costs, EV user charging time costs, and associated carbon emissions costs. An improved quantum genetic algorithm, integrating a dynamic rotation angle and simulated annealing elements, addresses the optimization problem. Performance evaluation employs test functions and a case study using e

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Ecer, Fatih, Dragan Pamucar, and Gülay Demir. "Decision-analytics-based electric vehicle charging station location selection: A cutting-edge fuzzy rough framework." Energy Reports 14 (December 2025): 711–35. https://doi.org/10.1016/j.egyr.2025.06.035.

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Wang, Yong, Jingxin Zhou, Yaoyao Sun, Xiuwen Wang, Jiayi Zhe, and Haizhong Wang. "Electric Vehicle Charging Station Location-Routing Problem with Time Windows and Resource Sharing." Sustainability 14, no. 18 (2022): 11681. http://dx.doi.org/10.3390/su141811681.

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Electric vehicles (EVs) are widely applied in logistics companies’ urban logistics distribution, as fuel prices increase and environmental awareness grows. This study introduces an EV charging station (CS) location-routing problem with time windows and resource sharing (EVCS-LRPTWRS). Resource sharing, among multiple depots within multiple service periods is proposed to adjust the transportation resource configuration for a sustainable logistics development. Solving the EVCS-LRPTWRS involves a periodic CS location selection and a multi-depot multi-period EV routing optimization. A bi-objective

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Jo, Jaehyeok, and Sungsu Kim. "Multi-Period Hydrogen Charging Station Location Model for Hydrogen-fueled Trucks in Korean Expressway based on FRLM." Korean Production and Operations Management Society 34, no. 3 (2023): 361–89. http://dx.doi.org/10.32956/kopoms.2023.34.3.361.

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Hydrogen is the eco-friendly energes which can replace fossil fuels In transportation/logistics Korea is the leading country about hydrogen-powered vehicles. For example, it is revealed that there is the highest penetration rate of new hydrogen cars and the greatest numbers for the existing vehicles in 2022 all over the worlds. In addition, hydrogen-fueled trucks have been invented and commercialized for the first time. However, the hydrogen charging network to support them seems really poor. Especially, there is only one station for the trucks, which may be the main obstacle for establishing

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Wang, Xinxin, Qian Xu, and Xiaopan Shen. "EV Charging Path Distribution Solution Based on Intelligent Network Connection." Mathematics 11, no. 13 (2023): 2879. http://dx.doi.org/10.3390/math11132879.

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The long queuing time for electric vehicles to charge under intelligent network connection leads to low distribution efficiency. Therefore, this paper proposes a strategy to predict the probability of queues forming for electric vehicles arriving at charging stations under intelligent network connection. Both the dynamic demand of customers and the characteristics of the alternating influence of charging vehicles should be considered when studying such problems. Based on the above problem characteristics, a real-time dynamic charging selection strategy is developed by predicting the probabilit

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Sünbül, Şeyma, and Ahmet Tortum. "An Application on Electric Vehicle Charging Station Site Selection With Multi-Criteria Decision-Making Methods." Hittite Journal of Science and Engineering 12, no. 2 (2025): 91–100. https://doi.org/10.17350/hjse19030000355.

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As the population grows and vehicles are increasingly owned, emissions from fossil fuels are worsening environmental problems. In this context, electric vehicles (EVs) present a significant alternative for the development of sustainable transportation systems. However, for electric vehicles (EVs) to become a prevalent form of transportation, the establishment of an effective and efficient charging infrastructure is imperative. The primary objective of this study is to ascertain the most suitable location for the installation of an electric vehicle (EV) charging station within the Erzincan Bina

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Ayyildiz, Ertugrul. "A novel pythagorean fuzzy multi-criteria decision-making methodology for e-scooter charging station location-selection." Transportation Research Part D: Transport and Environment 111 (October 2022): 103459. http://dx.doi.org/10.1016/j.trd.2022.103459.

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Yapıcı, Ayşe Tuğba, Nurettin Abut, and Tarık Erfidan. "Comparing the Effectiveness of Deep Learning Approaches for Charging Time Prediction in Electric Vehicles: Kocaeli Example." Energies 18, no. 8 (2025): 1961. https://doi.org/10.3390/en18081961.

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The aim of this study is to compare the performance of various deep learning models in predicting the arrival and charging time of an electric vehicle at a charging station. The objective is to identify the most precise model capable of predicting the time from the driver’s location to the arrival at the charging station. Initially, an effort was made to ascertain which model type offers superior prediction accuracy, characterized by low error rates and high success scores. To this end, the study examined the prediction capabilities of the LSTM (Long Short-Term Memory), GRU (Gated Recurrent Un

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Sikora, Roman, Łukasz Krajewski, Andrzej Popenda, and Ewa Korzeniewska. "Feasibility of Electric Vehicle Charging Stations from MV/LV Stations in Small Cities." Energies 17, no. 24 (2024): 6357. https://doi.org/10.3390/en17246357.

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Care about the environment is one of the key issues faced by engineers. Among the solutions conducive for reducing CO2 and NOx emissions from road transport is the introduction of electric cars. At the same time, it requires taking care of the infrastructure enabling the charging of electric vehicles in large as well small towns. Since December 2021, an amendment to the Act on Electromobility and Alternative Fuels has been forced in Poland. It introduced the obligation to design and construct buildings in a way that allows the installation of charging stations for electric vehicles. The articl

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Woo, Hyeon, Yongju Son, and Sungyun Choi. "A Study on the Charging Demand Balancing Strategy by Selecting Optimal Location of New EV Charging Station." Journal of the Korean Institute of Illuminating and Electrical Installation Engineers 35, no. 9 (2021): 24–31. http://dx.doi.org/10.5207/jieie.2021.35.9.024.

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