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

Sara Deilami, Amir S. Masoum, Nasim Jabalameli, Mohammad A. S. Masoum

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2013 8th International Conference on Electrical and Electronics Engineering (ELECO)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages162-166
Number of pages5
ISBN (Electronic)9786050105049
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event8th International Conference on Electrical and Electronics Engineering, ELECO 2013 - Bursa, Turkey
Duration: 28 Nov 201330 Nov 2013

Conference

Conference8th International Conference on Electrical and Electronics Engineering, ELECO 2013
CountryTurkey
CityBursa
Period28/11/1330/11/13

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