Location-Scheduling Optimization Problem to Design Private Charging Infrastructure for Electric Vehicles

2018 ◽  
pp. 151-169 ◽  
Author(s):  
Michal Koháni ◽  
Peter Czimmermann ◽  
Michal Váňa ◽  
Matej Cebecauer ◽  
Ľuboš Buzna
Keyword(s):  
Electric Vehicles ◽  
Optimization Problem ◽  
Scheduling Optimization ◽  
Charging Infrastructure

scholarly journals To Represent Electric Vehicles in Electricity Systems Modelling—Aggregated Vehicle Representation vs. Individual Driving Profiles

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 539
Author(s):  
Maria Taljegard ◽  
Lisa Göransson ◽  
Mikael Odenberger ◽  
Filip Johnsson
Keyword(s):  
Electric Vehicles ◽  
Investment Model ◽  
Research Issues ◽  
Charging Infrastructure ◽  
Vehicle To Grid ◽  
Long Term Storage ◽  
Electricity System ◽  
Home Location ◽  
The Individual ◽  
Storage Technologies

This study describes, applies, and compares three different approaches to integrate electric vehicles (EVs) in a cost-minimising electricity system investment model and a dispatch model. The approaches include both an aggregated vehicle representation and individual driving profiles of passenger EVs. The driving patterns of 426 randomly selected vehicles in Sweden were recorded between 30 and 73 days each and used as input to the electricity system model for the individual driving profiles. The main conclusion is that an aggregated vehicle representation gives similar results as when including individual driving profiles for most scenarios modelled. However, this study also concludes that it is important to represent the heterogeneity of individual driving profiles in electricity system optimisation models when: (i) charging infrastructure is limited to only the home location in regions with a high share of solar and wind power in the electricity system, and (ii) when addressing special research issues such as impact of vehicle-to-grid (V2G) on battery health status. An aggregated vehicle representation will, if the charging infrastructure is limited to only home location, over-estimate the V2G potential resulting in a higher share (up to 10 percentage points) of variable renewable electricity generation and an under-estimation of investments in both short- and long-term storage technologies.

BMS-driven onsite insolation charging infrastructure for electric vehicles

2020 ◽  
Author(s):  
Vinay Gupta ◽  
Himanshu Priyadarshi ◽  
Vishnu Goyal ◽  
Kulwant Singh ◽  
Ashish Shrivastava ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Charging Infrastructure

Electric vehicles and charging infrastructure in Turkey: An overview

2021 ◽  
Vol 143 ◽  
pp. 110913
Author(s):  
Ömer Gönül ◽  
A. Can Duman ◽  
Önder Güler
Keyword(s):  
Electric Vehicles ◽  
Charging Infrastructure
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