@inproceedings{21aef86268004d9f9429c55824a664d4,
title = "Overnight coordinated charging of plug-in electric vehicles based on maximum sensitivities selections",
abstract = "The future smart grid (SG) will be populated with high penetrations of plug-in electric vehicles (PEVs) that may deteriorate the quality of electric power. The consumers will also be seeking economical options to charge their vehicles. This paper proposes an overnight maximum sensitivities selection based coordination algorithm (ON-MSSCA) for inexpensive overnight PEV charging in SG. The approach is based on a recently implemented online algorithm (OL-MSSCA) that charges the vehicles as soon as they are randomly plugged-in,while considering SG generation, demand, and voltage constraints. In contrast to the online approach, ON-MSSCA relies on inexpensive off-peak load hours charging to reduce the cost of generating energy, such that SG constraints are not violated and all vehicles are fully charged overnight. Performances of the online and overnight algorithms are compared to the modified IEEE 23 kV distribution system with low voltage residential feeders, populated with PEVs.",
keywords = "Electric vehicle, PEV, smart grid, online scheduling and overnight coordination",
author = "Masoum, {Amir S.} and Sara Deilami and Masoum, {Mohammad A. S.} and Ahmed Abu-Siada and Syed Islam",
year = "2015",
language = "English",
isbn = "9781138026490",
series = "Advances in Engineering and Applied Science",
publisher = "CRC Press/Balkema",
pages = "65--70",
editor = "Wei Deng",
booktitle = "Applied engineering sciences",
note = "2014 AASRI International Conference on Applied Engineering Science, ICAES 2014 ; Conference date: 23-07-2014 Through 24-07-2014",
}