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Optimal scheduling of load tap changer and switched shunt capacitors in smart grid with electric vehicles and charging stations

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Authors
Deilami, Sara
Masoum, Amir
Jabalameli, Nasim
Masoum, Mohammad Sherkat
Date
2013
Type
Conference Paper

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Deilami, Sara and Masoum, Amir S. and Jabalameli, Nasim and Masoum, Mohammad A.S. 2013. Optimal scheduling of load tap changer and switched shunt capacitors in smart grid with electric vehicles and charging stations, in 8th International Conference on Electrical and Electronics Engineering (ELECO), Nov 28-30 2013, pp. 162-166. Bursa, Turkey: IEEE.
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Proceedings of the 8th International Conference on Electrical and Electronics Engineering (ELECO)
Source Conference
8th International Conference on Electrical and Electronics Engineering (ELECO)
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Abstract

Random charging of plug-in electric vehicles (PEVs) particularly during the peak load hours could impairment the performance of future smart grids. This paper presents genetic algorithms (GAs) for optimal scheduling of LTC and switched shunt capacitors (SSCs) to improve the performance of smart grid with PEV charging at consumer premises in residential feeders and PEV charging stations (PEV-CSs) in distribution networks. The forecasted daily load curves associated with PEV-CSs and residential feeders populated with PEVs are first generated and then incorporated in the GA-based optimal LTC and SSC scheduling solution. Simulation results without and with optimal scheduling are presented for a 449 node smart grid system with 5 PEV-CSs considering random and coordinated charging of 264 PEVs in 22 low voltage residential networks.