A coordinated charging scheduling of electric vehicles considering optimal charging time for network power loss minimization

Electric vehicles' (EVs) technology is currently emerging as an alternative of traditional Internal Combustion Engine (ICE) vehicles. EVs have been treated as an efficient way for decreasing the production of harmful greenhouse gasses and saving the depleting natural oil reserve. The modern pow...

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Main Authors: Usman, Muhammad, Tareen, Wajahat Ullah Khan, Amin, Adil, Ali, Haider, Bari, Inam, Sajid, Muhammad, Seyedmahmoudian, Mehdi, Stojcevski, Alex, Mahmood, Anzar, Mekhilef, Saad
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Published: MDPI 2021
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Online Access:http://eprints.um.edu.my/34395/
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Institution: Universiti Malaya
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spelling my.um.eprints.343952022-06-09T03:39:01Z http://eprints.um.edu.my/34395/ A coordinated charging scheduling of electric vehicles considering optimal charging time for network power loss minimization Usman, Muhammad Tareen, Wajahat Ullah Khan Amin, Adil Ali, Haider Bari, Inam Sajid, Muhammad Seyedmahmoudian, Mehdi Stojcevski, Alex Mahmood, Anzar Mekhilef, Saad QC Physics TP Chemical technology Electric vehicles' (EVs) technology is currently emerging as an alternative of traditional Internal Combustion Engine (ICE) vehicles. EVs have been treated as an efficient way for decreasing the production of harmful greenhouse gasses and saving the depleting natural oil reserve. The modern power system tends to be more sustainable with the support of electric vehicles (EVs). However, there have been serious concerns about the network's safe and reliable operation due to the increasing penetration of EVs into the electric grid. Random or uncoordinated charging activities cause performance degradations and overloading of the network asset. This paper proposes an Optimal Charging Starting Time (OCST)-based coordinated charging algorithm for unplanned EVs' arrival in a low voltage residential distribution network to minimize the network power losses. A time-of-use (ToU) tariff scheme is used to make the charging course more cost effective. The concept of OCST takes the departure time of EVs into account and schedules the overnight charging event in such a way that minimum network losses are obtained, and EV customers take more advantages of cost-effective tariff zones of ToU scheme. An optimal solution is obtained by employing Binary Evolutionary Programming (BEP). The proposed algorithm is tested on IEEE-31 bus distribution system connected to numerous low voltage residential feeders populated with different EVs' penetration levels. The results obtained from the coordinated EV charging without OCST are compared with those employing the concept of OCST. The results verify that incorporation of OCST can significantly reduce network power losses, improve system voltage profile and can give more benefits to the EV customers by accommodating them into low-tariff zones. MDPI 2021-09 Article PeerReviewed Usman, Muhammad and Tareen, Wajahat Ullah Khan and Amin, Adil and Ali, Haider and Bari, Inam and Sajid, Muhammad and Seyedmahmoudian, Mehdi and Stojcevski, Alex and Mahmood, Anzar and Mekhilef, Saad (2021) A coordinated charging scheduling of electric vehicles considering optimal charging time for network power loss minimization. Energies, 14 (17). ISSN 1996-1073, DOI https://doi.org/10.3390/en14175336 <https://doi.org/10.3390/en14175336>. 10.3390/en14175336
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 QC Physics
TP Chemical technology
spellingShingle QC Physics
TP Chemical technology
Usman, Muhammad
Tareen, Wajahat Ullah Khan
Amin, Adil
Ali, Haider
Bari, Inam
Sajid, Muhammad
Seyedmahmoudian, Mehdi
Stojcevski, Alex
Mahmood, Anzar
Mekhilef, Saad
A coordinated charging scheduling of electric vehicles considering optimal charging time for network power loss minimization
description Electric vehicles' (EVs) technology is currently emerging as an alternative of traditional Internal Combustion Engine (ICE) vehicles. EVs have been treated as an efficient way for decreasing the production of harmful greenhouse gasses and saving the depleting natural oil reserve. The modern power system tends to be more sustainable with the support of electric vehicles (EVs). However, there have been serious concerns about the network's safe and reliable operation due to the increasing penetration of EVs into the electric grid. Random or uncoordinated charging activities cause performance degradations and overloading of the network asset. This paper proposes an Optimal Charging Starting Time (OCST)-based coordinated charging algorithm for unplanned EVs' arrival in a low voltage residential distribution network to minimize the network power losses. A time-of-use (ToU) tariff scheme is used to make the charging course more cost effective. The concept of OCST takes the departure time of EVs into account and schedules the overnight charging event in such a way that minimum network losses are obtained, and EV customers take more advantages of cost-effective tariff zones of ToU scheme. An optimal solution is obtained by employing Binary Evolutionary Programming (BEP). The proposed algorithm is tested on IEEE-31 bus distribution system connected to numerous low voltage residential feeders populated with different EVs' penetration levels. The results obtained from the coordinated EV charging without OCST are compared with those employing the concept of OCST. The results verify that incorporation of OCST can significantly reduce network power losses, improve system voltage profile and can give more benefits to the EV customers by accommodating them into low-tariff zones.
format Article
author Usman, Muhammad
Tareen, Wajahat Ullah Khan
Amin, Adil
Ali, Haider
Bari, Inam
Sajid, Muhammad
Seyedmahmoudian, Mehdi
Stojcevski, Alex
Mahmood, Anzar
Mekhilef, Saad
author_facet Usman, Muhammad
Tareen, Wajahat Ullah Khan
Amin, Adil
Ali, Haider
Bari, Inam
Sajid, Muhammad
Seyedmahmoudian, Mehdi
Stojcevski, Alex
Mahmood, Anzar
Mekhilef, Saad
author_sort Usman, Muhammad
title A coordinated charging scheduling of electric vehicles considering optimal charging time for network power loss minimization
title_short A coordinated charging scheduling of electric vehicles considering optimal charging time for network power loss minimization
title_full A coordinated charging scheduling of electric vehicles considering optimal charging time for network power loss minimization
title_fullStr A coordinated charging scheduling of electric vehicles considering optimal charging time for network power loss minimization
title_full_unstemmed A coordinated charging scheduling of electric vehicles considering optimal charging time for network power loss minimization
title_sort coordinated charging scheduling of electric vehicles considering optimal charging time for network power loss minimization
publisher MDPI
publishDate 2021
url http://eprints.um.edu.my/34395/
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