This paper proposes an electric vehicle charging model and various control algorithms that
are further incorporated into a multi-agent system to evaluate impacts of electric vehicle …

This paper proposes an electric vehicle charging model and an optimal control algorithm to
predict and evaluate impacts of electric vehicle penetration on the power system. Electric …

Agent-based models are a class of simulation in which many autonomous agents interact
such that the mix of stochastic and deterministic actions each agent undertakes results in …

Increasing environmental concerns, the decarbonisation of future auto industry, the
consequent regulatory requirements and the depletion of oil have made the fuel …

Widespread adoption of electric vehicles (EVs) would significantly increase the overall
electrical load demand in power distribution networks. Hence, there is a need for …

The electric vehicle (EV) market has been growing rapidly around the world. With large
scale deployment of EVs in power systems, both the grid and EV owners will benefit if the …

A framework for real-time (RT) charging management of an electric vehicle aggregator
(EVA) participating in electric energy and regulation markets is proposed. The developed …

Electric vehicles (EVs) add significant load on the power grid as they become widespread.
The characteristics of this extra load follow the patterns of people's driving behaviours. In …

The transition to electric mobility is accelerating, and, thus it is increasingly important to be
able to anticipate and adapt future development of the electric vehicle charging …

A massive introduction of plug-in electric vehicles (PEVs) in the transportation sector would
likely increase the total electricity consumption. Depending on how and when the PEVs are …