Title: Power factor correction and load demand peak shaving in residential town using electric vehicles fleet in smart parking

Authors: Chia Lailypour; Dariush Nazarpour

Addresses: Boukan, West Azarbayejan, Iran ' Urmia University, Urmia, Iran

Abstract: This paper presents an algorithm for compensating the active and reactive power simultaneously in a real residential distribution household system using the amount of energy saved in plug-in hybrid electric vehicles (PHEVs) or in electric vehicles (EVs) parked in smart parking. The system and vehicle's specifications are discussed in separate sections. Moreover, the effects of the algorithm on active power peak shaving, reactive power compensation, and power factor correction are discussed as well. The economic effect of the algorithm on consumers' energy payment bills in Iran's distribution market is depicted in Section 6. Reactive power compensation leads into correction of power factor and power loss reduction. The main reason for connecting vehicles to grid is to charge them in their departure time to the desired state of charge (SOC). This algorithm guarantees that all vehicles will reach their desired state of charge at least half-hour before departure. Finally, the positive effect of the algorithm on all items is demonstrated.

Keywords: charging vehicles; distributed systems; electric vehicle; plug-in hybrid electric vehicle; peak shaving; power factor correction; residential grids; smart grid; smart building; smart home; smart parking.

DOI: 10.1504/IJEHV.2018.095713

International Journal of Electric and Hybrid Vehicles, 2018 Vol.10 No.2, pp.113 - 130

Received: 31 Jul 2017
Accepted: 13 Oct 2017
Published online: 18 Oct 2018 *

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