Wan Izzat Aiman, Abdul Manan and Azrin, Saedi and Mohamad Heerwan, Peeie and Mohd Shahrin, Abu Hanifah (2021) Modeling of the network reconfiguration considering electric vehicle charging load. In: Proceedings of the 8th International Conference on Computer and Communication Engineering, ICCCE 2021. 8th International Conference on Computer and Communication Engineering, ICCCE 2021 , 22 - 23 June 2021 , Kuala Lumpur. pp. 1-5. (9467143). ISBN 978-172811064-6 (Published)
Pdf
Modeling of the network reconfiguration considering electric.pdf Restricted to Repository staff only Download (1MB) | Request a copy |
||
|
Pdf
Modeling of the network reconfiguration considering electric vehicle charging load_ABS.pdf Download (836kB) | Preview |
Abstract
The new electrical motor used as the automotive engines seen to be very efficient which use only clean energy generated as one of the efforts to minimize the carbon emissions. The high usage of electric vehicle around the world for responding to the demands of taking care the ecological system has establish many Electric Vehicles (EV) charging station to accommodate the user. However, high charging loads of fast charging stations result in increased peak load demand, reduced reserve margins and voltage instability. Thus, the optimal distribution network reconfiguration with interconnection of charging station is this solution for this issue. The finding of the optimal reconfiguration in this study are used to improve the voltage profile and minimize the power loss of the distribution system. The best reconfiguration is searched by using Cuckoo Search Algorithm (CSA). The result of the finding then will be verified by comparing to other research papers for its efficiency of the method used.
Item Type: | Conference or Workshop Item (Other) |
---|---|
Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Charging station; Cuckoo search algorithm; Distribution network reconfiguration; Electric vehicles; Placement |
Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics |
Faculty/Division: | Faculty of Mechanical and Automotive Engineering Technology |
Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
Date Deposited: | 30 Oct 2024 04:32 |
Last Modified: | 30 Oct 2024 04:32 |
URI: | http://umpir.ump.edu.my/id/eprint/42351 |
Download Statistic: | View Download Statistics |
Actions (login required)
View Item |