@inproceedings{67f6c833c7944272b857b05ff18ca65c,
title = "Optimal planning of fast PEV charging facilities",
abstract = "This paper proposes a novel algorithm for optimal planning of plug-in electric vehicle (PEV) charging facilities. The proposed algorithm takes into consideration the stochastic nature of PEV mobility in terms of arrivals to and departures from the charging facility. The objective of the planning algorithm is to jointly determine the optimal number of deployed electric chargers and waiting space size in the charging facility so as to maximize the operator's expected profit. The expected profit accounts for the charging service price and the electricity cost, and penalizes a long waiting queue of PEVs and rejected PEV charging requests. The planning approach exploits the M/M/C/S queue structural properties and follows a simple search algorithm to reach the optimal solution. Numerical results are presented to demonstrate the performance of the planning algorithm.",
keywords = "Charging facility planning, Plug-in electric vehicles, Queue optimization",
author = "Muhammad Ismail and Bayram, {I. Safak} and Mohamed Abdallah and Erchin Serpedin and Khalid Qaraqe",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 1st Workshop on Smart Grid and Renewable Energy, SGRE 2015 ; Conference date: 22-03-2015 Through 23-03-2015",
year = "2015",
month = aug,
day = "17",
doi = "10.1109/SGRE.2015.7208728",
language = "English",
series = "2015 1st Workshop on Smart Grid and Renewable Energy, SGRE 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 1st Workshop on Smart Grid and Renewable Energy, SGRE 2015",
address = "United States",
}