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 …

Efficient and reliable demand side management techniques for community charging of plug-
in hybrid electrical vehicles (PHEVs) and plug-in electrical vehicles (PEVs) are needed, as …

Nonlinear model predictive control (NMPC) is a promising approach for controlling large-
scale complex systems (LSS) that exhibit nonlinearity and constraints. However, its …

Heavy computational load for solving nonconvex problems for large-scale systems or
systems with real-time demands at each sample step has been recognized as one of the …

The energy management problem in smart grid is a complex optimization problem of a
Cyber-Physical System. Distributed cooperative energy management algorithms have great …

Efficient demand management policies at the grid side are required for large scale charging
of Plug-in Hybrid Electric Vehicles and Plug-in Electric vehicles (PHEVs/PEVs). The SoC …

This paper proposes a solution for the distributed dynamic assignment of a set of electric
vehicles to a network of charging stations. Drivers of the electric vehicles and charging …

The focus of the present thesis is to develop cooperative distributed algorithms for
scheduling of electric energy in power grids consisting of responsive demands, dispatchable …

Concerns over climate change have spurred an increase in the amount of wind and solar
power generation on the grid. While these resources reduce carbon emissions, the physical …

As concerns for the environment and energy independence leads a transition towards a
power grid that depends increasingly on energy from renewable resources like solar and …