A gained and lost dominance score II method for modelling group uncertainty: Case study of site selection of electric vehicle charging stations

2020 ◽  
Vol 262 ◽  
pp. 121239 ◽  
Author(s):  
Xuedong Liang ◽  
Xingli Wu ◽  
Huchang Liao
Keyword(s):  
Electric Vehicle ◽  
Site Selection ◽  
Electric Vehicle Charging ◽  
Dominance Score ◽  
Vehicle Charging ◽  
Charging Stations ◽  
Selection Of

Optimal allocation of electric vehicle charging stations in a highway network: Part 2. The Italian case study

2019 ◽  
Vol 26 ◽  
pp. 101015 ◽  
Author(s):  
Giuseppe Napoli ◽  
Antonio Polimeni ◽  
Salvatore Micari ◽  
Giorgio Dispenza ◽  
Vincenzo Antonucci
Keyword(s):  
Electric Vehicle ◽  
Optimal Allocation ◽  
Electric Vehicle Charging ◽  
Italian Case ◽  
Highway Network ◽  
Vehicle Charging ◽  
Charging Stations

scholarly journals Application of Hexagonal Fuzzy MCDM Methodology for Site Selection of Electric Vehicle Charging Station

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 393
Author(s):  
Arijit Ghosh ◽  
Neha Ghorui ◽  
Sankar Prasad Mondal ◽  
Suchitra Kumari ◽  
Biraj Kanti Mondal ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Site Selection ◽  
Distance Measure ◽  
Multiple Criteria Decision Making ◽  
Sensitivity Analyses ◽  
Analytic Hierarchy ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Selection Of

In this paper, the application of hexagonal fuzzy multiple-criteria decision-making (MCDM) methodology for the site selection of electric vehicle charging stations is considered. In this regard, four factors and thirteen sub-factors have been taken into consideration for E-vehicle charging site selection. In this research, the geographic information system (GIS) has been incorporated with MCDM techniques. The fuzzy analytic hierarchy process (FAHP) is used to obtain a fuzzy weight of factors and sub-factors. MCDM tools fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) and fuzzy complex proportional assessment (FCOPRAS) have been used to rank the selected sites. A centroid-based method for defuzzification and distance measure between two hexagonal fuzzy numbers (HFN) has been developed for this paper. A practical example in Howrah, India, is considered to show the applicability and usefulness of the model. The results depict the suitability of the proposed research. Comparative and sensitivity analyses have been demonstrated to check the reliability, robustness and effectiveness of the proposed method.

The Study and Design of Electric System for Photovoltaic Generation Mix Charging Station

2013 ◽  
Vol 291-294 ◽  
pp. 2362-2365
Author(s):  
Bo Ye ◽  
Zhang Zhou He ◽  
Guo Meng Huang ◽  
Xue Song He ◽  
Hui Quan Li
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Wiring Diagram ◽  
Photovoltaic Generation ◽  
Electric System ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Charging Stations ◽  
Selection Of

With the development of electric vehicle industry, it is necessary to construct more electric vehicle charging stations to promote the popularization of electric vehicles. As photovoltaic generation owns flexible installing, convenient power supplying, and environmental protecting characteristics, it is suitable for providing power for electric vehicle charging stations and reducing a network loads. After analyzed electric vehicle charging demand, this paper proposed the designing concept of the electric system for the photovoltaic generation mix charging station, which was based on the battery charging and discharging characteristics as well as its usage. Then, the paper provided a selection of electric equipments for the charging station and an electric wiring diagram after designing the electric system. This study and design may help for promoting construction of electric vehicle charging stations, and development and popularization of electric vehicles.

scholarly journals Optimal Siting of Electric Vehicle Charging Stations Using Pythagorean Fuzzy VIKOR Approach

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Feng-Bao Cui ◽  
Xiao-Yue You ◽  
Hua Shi ◽  
Hu-Chen Liu
Keyword(s):  
Decision Making ◽  
Electric Vehicle ◽  
Site Selection ◽  
Multicriteria Decision Making ◽  
Pythagorean Fuzzy Set ◽  
Fuzzy Vikor ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Alternative Sites ◽  
Charging Stations

Site selection for electric vehicle charging stations (EVCSs) is the process of determining the most suitable location among alternatives for the construction of charging facilities for electric vehicles. It can be regarded as a complex multicriteria decision-making (MCDM) problem requiring consideration of multiple conflicting criteria. In the real world, it is often hard or impossible for decision makers to estimate their preferences with exact numerical values. Therefore, Pythagorean fuzzy set theory has been frequently used to handle imprecise data and vague expressions in practical decision-making problems. In this paper, a Pythagorean fuzzy VIKOR (PF-VIKOR) approach is developed for solving the EVCS site selection problems, in which the evaluations of alternatives are given as linguistic terms characterized by Pythagorean fuzzy values (PFVs). Particularly, the generalized Pythagorean fuzzy ordered weighted standardized distance (GPFOWSD) operator is proposed to calculate the utility and regret measures for ranking alternative sites. Finally, a practical example in Shanghai, China, is included to demonstrate the proposed EVCS sitting model, and the advantages are highlighted by comparing the results with other relevant methods.

Study of site selection of electric vehicle charging station based on extended GRP method under picture fuzzy environment

2019 ◽  
Vol 135 ◽  
pp. 1271-1285 ◽  
Author(s):  
Yanbing Ju ◽  
Dawei Ju ◽  
Ernesto D.R. Santibanez Gonzalez ◽  
Mihalis Giannakis ◽  
Aihua Wang
Keyword(s):  
Electric Vehicle ◽  
Site Selection ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Fuzzy Environment ◽  
Vehicle Charging ◽  
Selection Of

scholarly journals GIS-BASED OPTIMUM SITE SELECTION FOR SOLAR ELECTRIC VEHICLE CHARGING STATION: ANKARA-ISTANBUL HIGHWAY CASE

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 267-272
Author(s):  
S. Hisoglu ◽  
R. Comert
Keyword(s):  
Electric Vehicle ◽  
Electric Motor ◽  
Site Selection ◽  
Motor Vehicles ◽  
Slope Aspect ◽  
Traffic Density ◽  
Renewable Energy Resources ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Charging Stations

Abstract. Energy sources are divided into renewable and non-renewable sources. It can be seen that non-renewable energy resources are not adequately meeting the increased demands of worldwide technological developments, increasing population, and global consumption. Therefore, the demand for renewable resources is increasing day by day. When it comes to the use of non-renewable carbon-based fossil fuels, one of the first areas that come to mind is undoubtedly the Automotive sector. Today, it is realized that one of the main reasons for the lack of electric motor cars compared to petroleum fuelled cars, is the scarcity of electric vehicle charging stations and the difficulty of their accessibility. In this study; an analysis of solar-powered electric charging stations site selection was carried out for electric vehicles. The Ankara-Istanbul highway, which has a high traffic density, was chosen as the sample route for the study. Within the scope of the study, the areas where stations can be installed on the highway were carried out using the Multi-Criteria Decision Making Method with the help of Geographic Information System. Solar radiation, slope, aspect, land use/land cover, traffic volume and proximity to the road, criteria of the route, and site selection analysis were determined as input data. The maps of the determined criteria were arranged according to the study area and prepared for analysis. The criteria maps obtained were reclassified according to the above-mentioned criteria and scoring system. After the reclassification process, the weighting of each criteria which affect the analysis was determined by the researched literature and an overlapping process was carried out. According to the results map produced as a result of the overlay analysis, the appropriate area has been determined for the electric charging stations working with solar energy. On the defined route within the scope of the study, a proposal has been made for a total of 13 stations, 8 in Ankara, 3 in Bolu, 1 in Kocaeli, and 1 in Istanbul. This study, it is aimed to encourage automobile users to make greater use of electric motor vehicles, which would be a more environmentally friendly and sustainable choice, and ultimately more economical.

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