An integrated approach to optimal charging scheduling of electric vehicles integrated with improved medium-voltage network reconfiguration for power loss minimization
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 cha...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Published: |
MDPI
2020
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/36273/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.um.eprints.36273 |
---|---|
record_format |
eprints |
spelling |
my.um.eprints.362732023-11-29T12:00:43Z http://eprints.um.edu.my/36273/ An integrated approach to optimal charging scheduling of electric vehicles integrated with improved medium-voltage network reconfiguration for power loss minimization Amin, Adil Tareen, Wajahat Ullah Khan Usman, Muhammad Memon, Kamran Ali Horan, Ben Mahmood, Anzar Mekhilef, Saad T Technology (General) TK Electrical engineering. Electronics Nuclear engineering 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. MDPI 2020-11 Article PeerReviewed Amin, Adil and Tareen, Wajahat Ullah Khan and Usman, Muhammad and Memon, Kamran Ali and Horan, Ben and Mahmood, Anzar and Mekhilef, Saad (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). ISSN 2071-1050, DOI https://doi.org/10.3390/su12219211 <https://doi.org/10.3390/su12219211>. 10.3390/su12219211 |
institution |
Universiti Malaya |
building |
UM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaya |
content_source |
UM Research Repository |
url_provider |
http://eprints.um.edu.my/ |
topic |
T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Amin, Adil Tareen, Wajahat Ullah Khan Usman, Muhammad Memon, Kamran Ali Horan, Ben Mahmood, Anzar Mekhilef, Saad An integrated approach to optimal charging scheduling of electric vehicles integrated with improved medium-voltage network reconfiguration for power loss minimization |
description |
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. |
format |
Article |
author |
Amin, Adil Tareen, Wajahat Ullah Khan Usman, Muhammad Memon, Kamran Ali Horan, Ben Mahmood, Anzar Mekhilef, Saad |
author_facet |
Amin, Adil Tareen, Wajahat Ullah Khan Usman, Muhammad Memon, Kamran Ali Horan, Ben Mahmood, Anzar Mekhilef, Saad |
author_sort |
Amin, Adil |
title |
An integrated approach to optimal charging scheduling of electric vehicles integrated with improved medium-voltage network reconfiguration for power loss minimization |
title_short |
An integrated approach to optimal charging scheduling of electric vehicles integrated with improved medium-voltage network reconfiguration for power loss minimization |
title_full |
An integrated approach to optimal charging scheduling of electric vehicles integrated with improved medium-voltage network reconfiguration for power loss minimization |
title_fullStr |
An integrated approach to optimal charging scheduling of electric vehicles integrated with improved medium-voltage network reconfiguration for power loss minimization |
title_full_unstemmed |
An integrated approach to optimal charging scheduling of electric vehicles integrated with improved medium-voltage network reconfiguration for power loss minimization |
title_sort |
integrated approach to optimal charging scheduling of electric vehicles integrated with improved medium-voltage network reconfiguration for power loss minimization |
publisher |
MDPI |
publishDate |
2020 |
url |
http://eprints.um.edu.my/36273/ |
_version_ |
1783945851653062656 |
score |
13.159267 |