scholarly journals Coordinated clustering algorithms to support charging infrastructure design for electric vehicles

Author(s):  
Marjan Momtazpour ◽  
Patrick Butler ◽  
M. Shahriar Hossain ◽  
Mohammad C. Bozchalui ◽  
Naren Ramakrishnan ◽  
...  
Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3362
Author(s):  
Alberto Danese ◽  
Michele Garau ◽  
Andreas Sumper ◽  
Bendik Nybakk Torsæter

Full electrification of the transport sector is a necessity to combat climate change and a pressing societal issue: climate agreements require a fuel shift of all the modes of transport, but while uptake of passenger electric vehicles is increasing, long haul trucks rely almost completely on fossil fuels. Providing highways with proper charging infrastructure for future electric mobility demand is a problem that is not fully investigated in literature: in fact, previous work has not addressed grid planning and infrastructure design for both passenger vehicles and trucks on highways. In this work, the authors develop a methodology to design the electrical infrastructure that supplies static and dynamic charging for both modes of transport. An algorithm is developed that selects substations for the partial electrification of a highway and, finally, the design of the electrical infrastructure to be implemented is produced and described, assessing conductors and substations sizing, in order to respect voltage regulations. The system topology of a real highway (E18 in Norway) and its traffic demand is analyzed, together with medium-voltage substations present in the area.


Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 539
Author(s):  
Maria Taljegard ◽  
Lisa Göransson ◽  
Mikael Odenberger ◽  
Filip Johnsson

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.


2020 ◽  
Author(s):  
Vinay Gupta ◽  
Himanshu Priyadarshi ◽  
Vishnu Goyal ◽  
Kulwant Singh ◽  
Ashish Shrivastava ◽  
...  

2021 ◽  
Vol 143 ◽  
pp. 110913
Author(s):  
Ömer Gönül ◽  
A. Can Duman ◽  
Önder Güler

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