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Vansola, Binal
- Set cover model-based optimum location of electric vehicle charging stations
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PDF Views:68
Authors
Affiliations
1 Civil Engineering Department, L.D. College of Engineering, Ahmedabad 380 015, India, IN
2 CSIR-Central Road Research Institute, Transportation Planning and Environmental Division, New Delhi 110 025, India, IN
1 Civil Engineering Department, L.D. College of Engineering, Ahmedabad 380 015, India, IN
2 CSIR-Central Road Research Institute, Transportation Planning and Environmental Division, New Delhi 110 025, India, IN
Source
Current Science, Vol 123, No 12 (2022), Pagination: 1448-1454Abstract
The adoption rate of electric vehicles (EVs) is affected by the availability of charging stations (CS). The optimum location of CS in a city is a major part of the charging infrastructure for EVs. Factors like charging demand, charging time, investment cost, etc. affect the location decision of CS. This study presents a set cover problem-based methodology to optimally locate fast-charging stations for mixed traffic flow in NCT-Delhi, India, by maximizing the coverage range of CS. The study area was divided into grid-like zones and geographical information system (GIS) was used to analyse the distance matrix of the study-area grid map. For mixed traffic flow, different EV penetration rates were assumed to calculate the charging demands. We used origin and destination data, distance matrix and mixed traffic flow data of NCT-Delhi. The different vehicle categories considered from the mixed traffic flow in this study were two-wheelers, three-wheelers, four-wheelers and commercial vehicles (CVs). The results show that when each CS has a coverage range of 3 km, a total of 62 CS are required. Further, a decrease in the coverage range by 1 km leads to an increase in the number of required CS by 72%. This study shows the exact location of these CS on the GIS map of the study regionKeywords
Charging station, coverage range, electric vehicles, optimum location, set cover method.Full Text
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- Set Cover Model-Based Optimum Location of Electric Vehicle Charging Stations
Abstract Views :98 |
PDF Views:62
Authors
Source
Current Science, Vol 124, No 3 (2023), Pagination: 370-370Abstract
No Abstract.Keywords
No Keywords.Full Text