Reinforcement learning based EV charging management systems–a review
To mitigate global warming and energy shortage, integration of renewable energy
generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been …
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
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 …
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
Electric vehicles (EVs) are an eco-friendly alternative to vehicles with internal combustion
engines. Despite their environmental benefits, the massive electricity demand imposed by …
engines. Despite their environmental benefits, the massive electricity demand imposed by …
Smart charging for electric vehicles: A survey from the algorithmic perspective
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 …
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
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 …
coordinated EV charging has been extensively studied in the literature. However, most of the …
Pricing data center demand response
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 …
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
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 …
efficient charging coordination mechanisms that minimize the cost and impact of PEV …
Power grid vulnerability to geographically correlated failures—Analysis and control implications
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 …
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
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 …
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
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 …
associated with coordination strategies that seek to fill the overnight valley in electricity …