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Optimal scheduling of LTC and switched shunt capacitors in smart grid concerning overnight charging of Plug-in Electric Vehicles

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Authors
Deilami, Sara
Masoum, Amir
Masoum, Mohammad Sherkat
Abu-Siada, Ahmed
Islam, Syed
Date
2015
Type
Conference Paper

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Deilami, S. and Masoum, A. and Masoum, M.S. and Abu-Siada, A. and Islam, S. 2015. Optimal scheduling of LTC and switched shunt capacitors in smart grid concerning overnight charging of Plug-in Electric Vehicles, in Deng, W. (ed), 2014 AASRI International Conference on Applied Engineering Sciences (ICAES 2014), Jul 23-24 2014, pp. 71-76. Los Angeles, USA: CRC Press.
Source Title
Applied Engineering Sciences
Source Conference
2014 AASRI International Conference on Applied Engineering Sciences (ICAES 2014)
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Department of Electrical and Computer Engineering
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Abstract

It is well-known that load variation and nonlinearity have detrimental impacts on the operation and performance of the 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 perform optimal scheduling of transformer load tap changer (LTC) and switched shunt capacitors (SSCs) in smart grid 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/SSC and a recently implemented algorithm based on maximum sensitivity selections (MSS) optimization for coordination of PEVs are used to perform detailed simulations and analyses.