Scalable probabilistic estimates of electric vehicle charging given observed driver behavior

2022 ◽  
Vol 309 ◽  
pp. 118382
Author(s):  
Siobhan Powell ◽  
Gustavo Vianna Cezar ◽  
Ram Rajagopal
Keyword(s):  
Electric Vehicle ◽  
Driver Behavior ◽  
Electric Vehicle Charging ◽  
Vehicle Charging

Automatic recognition and location system for electric vehicle charging port in complex environment

2020 ◽  
Vol 14 (10) ◽  
pp. 2263-2272
Author(s):  
Mingqiang Pan ◽  
Cheng Sun ◽  
Jizhu Liu ◽  
Yangjun Wang
Keyword(s):  
Electric Vehicle ◽  
Automatic Recognition ◽  
Complex Environment ◽  
Location System ◽  
Electric Vehicle Charging ◽  
Vehicle Charging

scholarly journals Optimized Strategic Planning of Future Norwegian Low-Voltage Networks with a Genetic Algorithm Applying Empirical Electric Vehicle Charging Data

Electricity ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 91-109
Author(s):  
Julian Wruk ◽  
Kevin Cibis ◽  
Matthias Resch ◽  
Hanne Sæle ◽  
Markus Zdrallek
Keyword(s):  
Genetic Algorithm ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Low Voltage ◽  
Network Planning ◽  
Voltage Regulation ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
The Impact

This article outlines methods to facilitate the assessment of the impact of electric vehicle charging on distribution networks at planning stage and applies them to a case study. As network planning is becoming a more complex task, an approach to automated network planning that yields the optimal reinforcement strategy is outlined. Different reinforcement measures are weighted against each other in terms of technical feasibility and costs by applying a genetic algorithm. Traditional reinforcements as well as novel solutions including voltage regulation are considered. To account for electric vehicle charging, a method to determine the uptake in equivalent load is presented. For this, measured data of households and statistical data of electric vehicles are combined in a stochastic analysis to determine the simultaneity factors of household load including electric vehicle charging. The developed methods are applied to an exemplary case study with Norwegian low-voltage networks. Different penetration rates of electric vehicles on a development path until 2040 are considered.

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