Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering




+44 (0)20 7594 6275j.barria Website




1012Electrical EngineeringSouth Kensington Campus






BibTex format

author = {Hamid, QR and Barria, JA},
doi = {10.1109/TPWRS.2015.2412653},
journal = {IEEE Transactions on Power Systems},
title = {Congestion Avoidance for Recharging Electric Vehicles using Smoothed Particle Hydrodynamics},
url = {},
year = {2015}

RIS format (EndNote, RefMan)

AB - In this paper, a novel approach for recharging electric vehicles (EVs) is proposed based on managing multiple discrete units of electric power flow, named energy demand particles (EDPs). Key similarities between EDPs and fluid particles (FPs) are established that allow the use of a smoothed particle hydrodynamics (SPH) method for scheduling the recharging times of EVs. It is shown, via simulation, that the scheduling procedure not only minimizes the variance of voltage drops in the secondary circuits, but it also can be used to implement a dynamic demand response and frequency control mechanism. The performance of the proposed scheduling procedure is also compared with alternative approaches recently published in the literature.
AU - Hamid,QR
AU - Barria,JA
DO - 10.1109/TPWRS.2015.2412653
PY - 2015///
SN - 0885-8950
TI - Congestion Avoidance for Recharging Electric Vehicles using Smoothed Particle Hydrodynamics
T2 - IEEE Transactions on Power Systems
UR -
UR -
ER -