@inproceedings{5c9a4e7643bc4c2292650be94f2dd856,
title = "Optimal scheduling of LTC and switched shunt capacitors in smart grid concerning overnight charging of plug-in electric vehicles",
abstract = "It is well-known that load variation and nonlinearity have detrimental impacts on the operation and performance of conventional power systems and future smart grids (SGs), including their voltage profiles, power quality, losses, and efficiency, particularly during the peak load hours. This paper will illustrate the performance of optimal scheduling of transformer Load Tap Changers (LTC) and Switched Shunt Capacitors (SSCs) in Smart Grids with nonlinear loads and Plug-in Electric Vehicle (PEV) charging activities to improve voltage profile, reduce grid losses, and control the Total Harmonic Distortion (THD). An established genetic algorithm (GA) for the dispatch of LTC/SSCs and a recently implemented algorithm, based on Maximum Sensitivity Selections (MSS) optimization for the coordination of PEVs, are used to performdetailed simulations and analyses.",
keywords = "Smart grid, PEV coordination, charging, optimal dispatch, LTC and switched capacitors",
author = "Sara Deilami and Masoum, {Amir S.} 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 = "71--76",
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",
}