Assessing the value of electric vehicle managed charging: a review of methodologies and results

MB Anwar, M Muratori, P Jadun, E Hale… - Energy & …, 2022 - pubs.rsc.org
Driven by technological progress and growing global attention for sustainability, the
adoption of electric vehicles (EVs) is on the rise. Large-scale EV adoption would both disrupt …

Grid integration of electric vehicles for economic benefits: A review

H Patil, VN Kalkhambkar - Journal of Modern Power Systems …, 2020 - ieeexplore.ieee.org
Emissions from the internal combustion engine (ICE) vehicles are one of the primary cause
of air pollution and climate change. In recent years, electric vehicles (EVs) are becoming a …

Smart household operation considering bi-directional EV and ESS utilization by real-time pricing-based DR

O Erdinc, NG Paterakis, TDP Mendes… - … on Smart Grid, 2014 - ieeexplore.ieee.org
As the smart grid solutions enable active consumer participation, demand response (DR)
strategies have drawn much interest in the literature recently, especially for residential …

Optimal electric vehicle charging strategy with Markov decision process and reinforcement learning technique

T Ding, Z Zeng, J Bai, B Qin, Y Yang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Electric vehicles (EVs) have rapidly developed in recent years and their penetration has also
significantly increased, which, however, brings new challenges to power systems. Due to …

Charging schemes for plug-in hybrid electric vehicles in smart grid: A survey

PY Kong, GK Karagiannidis - IEEE Access, 2016 - ieeexplore.ieee.org
Plug-in hybrid electric vehicles (PHEVs) have emerged as an important tool in reducing
greenhouse gas emissions, due to their lower dependency on fossil fuel. Since, for cost …

A review on plug-in electric vehicles: Introduction, current status, and load modeling techniques

A Ahmadian, B Mohammadi-Ivatloo… - Journal of Modern …, 2020 - ieeexplore.ieee.org
Plug-in electric vehicle (PEV) load modeling is very important in the operation and planning
studies of modern power system nowadays. Several parameters and considerations should …

[HTML][HTML] A data-driven approach for characterising the charging demand of electric vehicles: A UK case study

E Xydas, C Marmaras, LM Cipcigan, N Jenkins… - Applied energy, 2016 - Elsevier
As the number of electric vehicles increases, the impact of their charging on distribution
networks is being investigated using different load profiles. Due to the lack of real charging …

Research on the spatial-temporal distribution of electric vehicle charging load demand: A case study in China

T Yi, C Zhang, T Lin, J Liu - Journal of Cleaner Production, 2020 - Elsevier
The surge in the number of electric vehicle (EV) users has brought a large amount of EV
charging demands in recent years, making China construct tens of thousands of charging …

The investigation of the major factors influencing plug-in electric vehicle driving patterns and charging behaviour

E Azadfar, V Sreeram, D Harries - Renewable and Sustainable Energy …, 2015 - Elsevier
All major vehicle manufacturers now have, or plan to have, an electric vehicle model (EVs)
on the market. Current EV take up rates are relatively slow, but the main factors that will …

Effective charging planning based on deep reinforcement learning for electric vehicles

C Zhang, Y Liu, F Wu, B Tang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Electric vehicles (EVs) are viewed as an attractive option to reduce carbon emission and fuel
consumption, but the popularization of EVs has been hindered by the cruising range …