Authors: A.A. Eajal; Mostafa F. Shaaban; E.F. El-Saadany; Kumaraswamy Ponnambalam
Addresses: Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada ' Department of Electrical and Computer Engineering, American University, Sharjah 26666, United Arab Emirates ' Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada ' Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada
Abstract: The smart grid allows its consumers to participate in producing cost effective, sustainable, and environmentally friendly electricity. The consumers in a smart grid, for example, can plug their electric vehicles (EVs) into the grid to charge and discharge their vehicles' batteries. However, charging of the electric vehicles, especially during the peak periods, can adversely impact the grid performance. Thus, in this paper, the coordinated charging of the electric vehicles problem is tackled. A fuzzy logic-based approach is developed to coordinate the electric vehicle charging such that the system minimum voltage is within the allowable limits. The inputs to the fuzzy charging controller (FCC) include the states of charge (SOC) of the electric vehicles and the grid parameters represented in the system minimum voltage. The output of the FCC is the charging levels of the electric vehicles' batteries. The developed fuzzy logic-based charging strategy was validated on the 69-bus test system. The fuzzy charging (FC) was compared with three modes of uncoordinated charging, namely slow charging (SC), medium charging (MC), and fast charging (FC). The results of the comparative study prove the superiority of the developed fuzzy charging approach over uncoordinated charging schemes.
Keywords: charging; electric vehicles; fuzzy logic; smart grid.
International Journal of Process Systems Engineering, 2017 Vol.4 No.2/3, pp.119 - 137
Received: 01 Jul 2016
Accepted: 09 Sep 2016
Published online: 21 Jun 2017 *