An Integrated Approach to Optimal Charging Scheduling of Electric Vehicles Integrated with Improved Medium-Voltage Network Reconfiguration for Power Loss Minimization

Adil Amin, Wajahat Ullah Khan Tareen, Muhammad Usman, Kamran Ali Memon, Ben Horan, Anzar Mahmood and Saad Mekhilef
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Adil Amin: Department of Electrical Engineering, Mirpur University of Science and Technology, (MUST), Allama Iqbal Road, Mirpur 10250, Pakistan
Wajahat Ullah Khan Tareen: Department of Electrical and Electronic Engineering, College of Engineering, University of Jeddah, Jeddah 21589, Saudi Arabia
Muhammad Usman: Department of Electrical Engineering, Mirpur University of Science and Technology, (MUST), Allama Iqbal Road, Mirpur 10250, Pakistan
Kamran Ali Memon: Electronic Engineering Department, Quaid e Awam University of Engineering Science and Technology, Nawabshah 67480, Pakistan
Ben Horan: School of Engineering, Deakin University, Waurn Ponds, VIC 3216, Australia
Anzar Mahmood: Department of Electrical Engineering, Mirpur University of Science and Technology, (MUST), Allama Iqbal Road, Mirpur 10250, Pakistan
Saad Mekhilef: Power Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia

Sustainability, 2020, vol. 12, issue 21, 1-15

Abstract: The uncoordinated integration of electric vehicles (EVs) severely deteriorates the operational performance of a distribution network. To optimize distribution network performance in an EV charging environment, this paper presents a two-stage optimization approach, which integrates coordinated EV charging with network reconfiguration. A formulation to minimize system power loss is presented, and an optimal solution is obtained using a binary particle swarm optimization algorithm. The proposed approach is tested on a modified IEEE 33-bus medium-voltage node test system, coupled with a low voltage distribution network. Results of the coordinated and uncoordinated EV charging are compared with those of the developed integrated approach, and the operational performance of the system is studied. The results show that the integration of network reconfiguration with coordinated EV charging significantly decreases network power losses and fairly improves voltage profile. Thus, the proposed strategy can lead to improved operational performance of the system while dealing with the growing penetration of EVs in the network.

Keywords: electric vehicle; network reconfiguration; binary particle swam optimization; distribution network (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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