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Article

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

1
Department of Electrical Engineering, Mirpur University of Science and Technology, (MUST), Allama Iqbal Road, Mirpur 10250, Pakistan
2
Department of Electrical and Electronic Engineering, College of Engineering, University of Jeddah, Jeddah 21589, Saudi Arabia
3
Electronic Engineering Department, Quaid e Awam University of Engineering Science and Technology, Nawabshah 67480, Pakistan
4
School of Engineering, Deakin University, Waurn Ponds, VIC 3216, Australia
5
Power Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
6
School of Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, Australia
7
Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(21), 9211; https://doi.org/10.3390/su12219211
Submission received: 22 September 2020 / Revised: 27 October 2020 / Accepted: 30 October 2020 / Published: 5 November 2020

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 electric vehicle; network reconfiguration; binary particle swam optimization; distribution network

Share and Cite

MDPI and ACS Style

Amin, A.; Tareen, W.U.K.; Usman, M.; Memon, K.A.; Horan, B.; Mahmood, A.; Mekhilef, S. An Integrated Approach to Optimal Charging Scheduling of Electric Vehicles Integrated with Improved Medium-Voltage Network Reconfiguration for Power Loss Minimization. Sustainability 2020, 12, 9211. https://doi.org/10.3390/su12219211

AMA Style

Amin A, Tareen WUK, Usman M, Memon KA, Horan B, Mahmood A, Mekhilef S. An Integrated Approach to Optimal Charging Scheduling of Electric Vehicles Integrated with Improved Medium-Voltage Network Reconfiguration for Power Loss Minimization. Sustainability. 2020; 12(21):9211. https://doi.org/10.3390/su12219211

Chicago/Turabian Style

Amin, Adil, Wajahat Ullah Khan Tareen, Muhammad Usman, Kamran Ali Memon, Ben Horan, Anzar Mahmood, and Saad Mekhilef. 2020. "An Integrated Approach to Optimal Charging Scheduling of Electric Vehicles Integrated with Improved Medium-Voltage Network Reconfiguration for Power Loss Minimization" Sustainability 12, no. 21: 9211. https://doi.org/10.3390/su12219211

APA Style

Amin, A., Tareen, W. U. K., Usman, M., Memon, K. A., Horan, B., Mahmood, A., & Mekhilef, S. (2020). An Integrated Approach to Optimal Charging Scheduling of Electric Vehicles Integrated with Improved Medium-Voltage Network Reconfiguration for Power Loss Minimization. Sustainability, 12(21), 9211. https://doi.org/10.3390/su12219211

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