Optimal Charging Schedule Coordination of Electric Vehicles in Smart Grid

Zalnidzam, Wan Iqmal Faezy Wan and Mohamad, Hasmaini and Salim, Nur Ashida and Mokhlis, Hazlie and Yasin, Zuhaila Mat (2018) Optimal Charging Schedule Coordination of Electric Vehicles in Smart Grid. Indonesian Journal of Electrical Engineering and Computer Science, 11 (1). pp. 82-89. ISSN 2502-4752, DOI https://doi.org/10.11591/ijeecs.v11.i1.pp82-89.

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Official URL: https://doi.org/10.11591/ijeecs.v11.i1.pp82-89

Abstract

The increasing penetration of electric vehicle (EV) at distribution system is expected in the near future leading to rising demand for power consumption. Large scale uncoordinated charging demand of EVs will eventually threatens the safety operation of the distribution network. Therefore, a charging strategy is needed to reduce the impact of charging. This paper proposes an optimal centralized charging schedule coordination of EV to minimize active power losses while maintaining the voltage profile at the demand side. The performance of the schedule algorithm developed using particle swarm optimization (PSO) technique is evaluated at the IEEE-33 Bus radial distribution system in a set time frame of charging period. Coordinated and uncoordinated charging schedule is then compared in terms of active power losses and voltage profile at different level of EV penetration considering 24 hours of load demand profile. Results show that the proposed coordinated charging schedule is able to achieve minimum total active power losses compared to the uncoordinated charging.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: Electric vehicle; charging coordination; distribution system; particle swarm optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 28 Jan 2019 02:56
Last Modified: 28 Jan 2019 02:56
URI: http://eprints.um.edu.my/id/eprint/20183

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