Reinforcement learning based EV charging management systems–a review

HM Abdullah, A Gastli, L Ben-Brahim - IEEE Access, 2021 - ieeexplore.ieee.org
To mitigate global warming and energy shortage, integration of renewable energy
generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been …

Closed-loop home energy management system with renewable energy sources in a smart grid: A comprehensive review

AO Ali, MR Elmarghany, MM Abdelsalam… - Journal of Energy …, 2022 - Elsevier
Nowadays, energy plays a prominent role in all aspects of our life. So far, unclean and non-
renewable energy, which has severe economic and environmental impacts, dominant the …

A survey of algorithms for distributed charging control of electric vehicles in smart grid

NI Nimalsiri, CP Mediwaththe… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Electric vehicles (EVs) are an eco-friendly alternative to vehicles with internal combustion
engines. Despite their environmental benefits, the massive electricity demand imposed by …

Smart charging for electric vehicles: A survey from the algorithmic perspective

Q Wang, X Liu, J Du, F Kong - IEEE Communications Surveys & …, 2016 - ieeexplore.ieee.org
Smart interactions among the smart grid, aggregators, and EVs can bring various benefits to
all parties involved, eg, improved reliability and safety for the smart gird, increased profits for …

Optimal scheduling for electric vehicle charging with discrete charging levels in distribution grid

B Sun, Z Huang, X Tan… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
To accommodate the increasing electric vehicle (EV) penetration in distribution grid,
coordinated EV charging has been extensively studied in the literature. However, most of the …

Pricing data center demand response

Z Liu, I Liu, S Low, A Wierman - ACM SIGMETRICS Performance …, 2014 - dl.acm.org
Demand response is crucial for the incorporation of renewable energy into the grid. In this
paper, we focus on a particularly promising industry for demand response: data centers. We …

A model predictive control approach for low-complexity electric vehicle charging scheduling: Optimality and scalability

W Tang, YJ Zhang - IEEE transactions on power systems, 2016 - ieeexplore.ieee.org
With the increasing adoption of plug-in electric vehicles (PEVs), it is critical to develop
efficient charging coordination mechanisms that minimize the cost and impact of PEV …

Power grid vulnerability to geographically correlated failures—Analysis and control implications

A Bernstein, D Bienstock, D Hay… - … -IEEE conference on …, 2014 - ieeexplore.ieee.org
We consider line outages in the transmission network of the power grid, and specifically
those caused by natural disasters or large-scale physical attacks. In such networks, an …

Electric vehicle charging in smart grid: Optimality and valley-filling algorithms

N Chen, CW Tan, TQS Quek - IEEE Journal of Selected Topics …, 2014 - ieeexplore.ieee.org
Electric vehicles (EVs) offer an attractive long-term solution to reduce the dependence on
fossil fuel and greenhouse gas emission. At the same time, charging a large fleet of EVs …

Efficient decentralized coordination of large-scale plug-in electric vehicle charging

Z Ma, S Zou, L Ran, X Shi, IA Hiskens - Automatica, 2016 - Elsevier
Minimizing the grid impacts of large-scale plug-in electric vehicle (PEV) charging tends to be
associated with coordination strategies that seek to fill the overnight valley in electricity …