Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm

Plug in Hybrid Electric Vehicle (PHEV) is predicted to increase on the road as for users appreciate the benefits that a PHEV can provide. Every PHEV has a battery storage and needs to be recharged. The increase of charging Plug in Hybrid Electric Vehicle on the distribution system due to the increas...

Full description

Bibliographic Details
Main Author:	Lee, Clement Yuon Sien
Format:	Undergraduates Project Papers
Language:	English English English English
Published:	2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/18012/ http://umpir.ump.edu.my/id/eprint/18012/ http://umpir.ump.edu.my/id/eprint/18012/1/Optimal%20charging%20strategy%20for%20plug-in%20hybrid%20electric%20vehicle%20using%20evolutionary%20algorithm-Table%20of%20contents.pdf http://umpir.ump.edu.my/id/eprint/18012/2/Optimal%20charging%20strategy%20for%20plug-in%20hybrid%20electric%20vehicle%20using%20evolutionary%20algorithm-Abstract.pdf http://umpir.ump.edu.my/id/eprint/18012/13/Optimal%20charging%20strategy%20for%20plug-in%20hybrid%20electric%20vehicle%20using%20evolutionary%20algorithm-Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/18012/14/Optimal%20charging%20strategy%20for%20plug-in%20hybrid%20electric%20vehicle%20using%20evolutionary%20algorithm-References.pdf

id	ump-18012
recordtype	eprints
spelling	ump-180122017-06-23T00:47:56Z http://umpir.ump.edu.my/id/eprint/18012/ Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm Lee, Clement Yuon Sien TK Electrical engineering. Electronics Nuclear engineering Plug in Hybrid Electric Vehicle (PHEV) is predicted to increase on the road as for users appreciate the benefits that a PHEV can provide. Every PHEV has a battery storage and needs to be recharged. The increase of charging Plug in Hybrid Electric Vehicle on the distribution system due to the increase in number of PHEV on the road will cause overload in the system. Upon this study, a control charging system is needed to control the charging so that the distribution network is not overloaded. An optimal charging strategy for plug-in hybrid electric vehicle (PHEV) is proposed and developed by using evolutionary algorithm to obtain the most suitable charging condition for each PHEV charging. The charging strategy controls the charging time on the vehicle charging load profile (VCLP). VCLP is developed using MATLAB from the real vehicle travel data from National Household Travel Survey (NHTS). The profile is test on IEEE bus-30 system. The results showed that the developed charging strategy achieved the required battery capacity and has reduced peak load and improved load factor thus reduces impacts on power system networks. 2016-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18012/1/Optimal%20charging%20strategy%20for%20plug-in%20hybrid%20electric%20vehicle%20using%20evolutionary%20algorithm-Table%20of%20contents.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18012/2/Optimal%20charging%20strategy%20for%20plug-in%20hybrid%20electric%20vehicle%20using%20evolutionary%20algorithm-Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18012/13/Optimal%20charging%20strategy%20for%20plug-in%20hybrid%20electric%20vehicle%20using%20evolutionary%20algorithm-Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18012/14/Optimal%20charging%20strategy%20for%20plug-in%20hybrid%20electric%20vehicle%20using%20evolutionary%20algorithm-References.pdf Lee, Clement Yuon Sien (2016) Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm. Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:100085&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Lee, Clement Yuon Sien Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm
description	Plug in Hybrid Electric Vehicle (PHEV) is predicted to increase on the road as for users appreciate the benefits that a PHEV can provide. Every PHEV has a battery storage and needs to be recharged. The increase of charging Plug in Hybrid Electric Vehicle on the distribution system due to the increase in number of PHEV on the road will cause overload in the system. Upon this study, a control charging system is needed to control the charging so that the distribution network is not overloaded. An optimal charging strategy for plug-in hybrid electric vehicle (PHEV) is proposed and developed by using evolutionary algorithm to obtain the most suitable charging condition for each PHEV charging. The charging strategy controls the charging time on the vehicle charging load profile (VCLP). VCLP is developed using MATLAB from the real vehicle travel data from National Household Travel Survey (NHTS). The profile is test on IEEE bus-30 system. The results showed that the developed charging strategy achieved the required battery capacity and has reduced peak load and improved load factor thus reduces impacts on power system networks.
format	Undergraduates Project Papers
author	Lee, Clement Yuon Sien
author_facet	Lee, Clement Yuon Sien
author_sort	Lee, Clement Yuon Sien
title	Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm
title_short	Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm
title_full	Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm
title_fullStr	Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm
title_full_unstemmed	Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm
title_sort	optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/18012/ http://umpir.ump.edu.my/id/eprint/18012/ http://umpir.ump.edu.my/id/eprint/18012/1/Optimal%20charging%20strategy%20for%20plug-in%20hybrid%20electric%20vehicle%20using%20evolutionary%20algorithm-Table%20of%20contents.pdf http://umpir.ump.edu.my/id/eprint/18012/2/Optimal%20charging%20strategy%20for%20plug-in%20hybrid%20electric%20vehicle%20using%20evolutionary%20algorithm-Abstract.pdf http://umpir.ump.edu.my/id/eprint/18012/13/Optimal%20charging%20strategy%20for%20plug-in%20hybrid%20electric%20vehicle%20using%20evolutionary%20algorithm-Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/18012/14/Optimal%20charging%20strategy%20for%20plug-in%20hybrid%20electric%20vehicle%20using%20evolutionary%20algorithm-References.pdf
first_indexed	2023-09-18T22:25:14Z
last_indexed	2023-09-18T22:25:14Z
_version_	1777415922285281280

Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm

Similar Items