The charging power of plug-in electric vehicles (PEVs) decreases significantly when the
state of charge (SoC) gets closer to the fully charged state, which leads to a longer charging …

Cooperatively optimizing a vast number of agents over a large-scale network faces
unprecedented scalability challenges. The scalability of existing optimization algorithms is …

Uncoordinated charging of plug-in electric vehicles brings a new challenge on the operation
of a power system as it causes power flow fluctuations and even unacceptable load peaks …

Many systems, like electrical, mechanical, chemical, aerospace, economic, and so on, can
be mathematically modeled as linear/nonlinear deterministic/stochastic …

Autonomous electric vehicles (AEVs) will become an inevitable trend in the future
transportation network and have an important impact on the power grid. It is difficult to find …

As the electric vehicles (EVs) become prevalent, the demand for smart charging rises. The
disordered charging problem of EVs, the high cost, and the location problem of charging …

The paper considers the coordination of electric vehicle (EV) charging where the loading on
the transformers that serve the distribution feeders is taken into account. A decentralized …

This paper establishes a distributed optimization platform based on the alternating direction
method of multipliers (ADMM) for optimal electric vehicle charging management. The …

This paper is intended to give an effective coordination method between high penetration of
plug in electric vehicles (PEVs) and optimal operation management (OOM) of distribution …

We address the problem of charging plug-in electric vehicles (PEVs) in a decentralized way
and under stochastic dynamics affecting the real-time electricity tariff. The model is …