@inproceedings{2c6e43e8ca61443c916a7f6ddaa0471c,
title = "Demand responce through interactive incorporation of plug-in electric vehicles",
abstract = "PEV coordination introduces a significant challenge in demand response programs (DR). In one hand, there is a serious challenge due to uncertainty and dynamics associated with PEVs to be devoted to DR. In another hand, with proper charging and communication infrastructure, PEVs may play a dual role in smart grids; they may eventually either turn into Interruptible Loads (IL) when plugged in for charging or act as grid-able storage responding to the pricing commands. This paper aims to provide an approach that realises DR using aggregated PEVs in parking lots. This approach includes a real-time interaction between the aggregator and the PEV owner, where the aggregator suggests different offers and, accordingly, the owner responds based on his/her preference. A multi-stage optimization solution is proposed here to accommodate properly different offers to the PEV owners, while it is benefiting from an ANN-based forecast model to incorporate the effect of the future PEV arrivals in the decision actions. Implementation results on the 38-bus test system indicate how effectively the proposed solution could help future smart parking lots in DR contribution.",
keywords = "Aggregator, plug-in electric vehicles, smart charging",
author = "E. Akhavan-Rezai and Shaaban, {M. F.} and El-Saadany, {E. F.} and F. Karray",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Power and Energy Society General Meeting, PESGM 2015 ; Conference date: 26-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "30",
doi = "10.1109/PESGM.2015.7286638",
language = "British English",
series = "IEEE Power and Energy Society General Meeting",
publisher = "IEEE Computer Society",
booktitle = "2015 IEEE Power and Energy Society General Meeting, PESGM 2015",
address = "United States",
}
