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PHEV Charging Strategy Via User Preferences and its Impacts on Power System Network

Uncontrolled PHEVs charging will cause severe impacts on a power system network, especially on the distribution system; i.e. feeders, cables and transformers overload hence shortened its life. In this paper, PHEV charging strategy namely SOC-based charging has been proposed. This charging strategy...

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Main Authors: Mohd Redzuan, Ahmad, Ismail, Musirin, Muhammad Murtadha, Othman, Nur Azzammudin, Rahmat
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/8382/1/PHEV_Charging_Strategy_Via_User_Preferences_and_Its_Impacts_on_Power_System_Network.pdf
http://umpir.ump.edu.my/id/eprint/8382/
http://dx.doi.org/10.1109/CENCON.2014.6967470
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spelling my.ump.umpir.83822018-02-05T01:07:25Z http://umpir.ump.edu.my/id/eprint/8382/ PHEV Charging Strategy Via User Preferences and its Impacts on Power System Network Mohd Redzuan, Ahmad Ismail, Musirin Muhammad Murtadha, Othman Nur Azzammudin, Rahmat TK Electrical engineering. Electronics Nuclear engineering Uncontrolled PHEVs charging will cause severe impacts on a power system network, especially on the distribution system; i.e. feeders, cables and transformers overload hence shortened its life. In this paper, PHEV charging strategy namely SOC-based charging has been proposed. This charging strategy focused on user needs, i.e. full charged the battery within plugged-in time frame considering maximum charging rate from the standard outlet. Moreover, it will reduce the peak loads as well as improving the load factor on a power system network. Real vehicle travel data from National Household Travel Survey (NHTS) is used to represent PHEV types, miles driven and its final arriving times. This proposed technique also comprehensively used to present the impact of charging PHEV on power system networks considering PHEV battery sizes and maximum charging levels. Vehicles Charging Load Profile (VCLP) is developed and implemented in IEEE 30-bus test system that represents a portion of American Electric Power System (Midwestern US). Normalization technique is used to represent real time loads of IEEE 30-bus test system.Comparative study has been performed with respect to uncontrolled charging technique. Results indicated that the proposed charging strategy not only achieved the required battery capacity but also has improved peak load and load factor thus reduces impacts on power system networks. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8382/1/PHEV_Charging_Strategy_Via_User_Preferences_and_Its_Impacts_on_Power_System_Network.pdf Mohd Redzuan, Ahmad and Ismail, Musirin and Muhammad Murtadha, Othman and Nur Azzammudin, Rahmat (2014) PHEV Charging Strategy Via User Preferences and its Impacts on Power System Network. In: IEEE Conference on Energy Conversion (CENCON 2014), 13-14 October 2014 , Johor Bahru. pp. 19-24.. http://dx.doi.org/10.1109/CENCON.2014.6967470
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd Redzuan, Ahmad
Ismail, Musirin
Muhammad Murtadha, Othman
Nur Azzammudin, Rahmat
PHEV Charging Strategy Via User Preferences and its Impacts on Power System Network
description Uncontrolled PHEVs charging will cause severe impacts on a power system network, especially on the distribution system; i.e. feeders, cables and transformers overload hence shortened its life. In this paper, PHEV charging strategy namely SOC-based charging has been proposed. This charging strategy focused on user needs, i.e. full charged the battery within plugged-in time frame considering maximum charging rate from the standard outlet. Moreover, it will reduce the peak loads as well as improving the load factor on a power system network. Real vehicle travel data from National Household Travel Survey (NHTS) is used to represent PHEV types, miles driven and its final arriving times. This proposed technique also comprehensively used to present the impact of charging PHEV on power system networks considering PHEV battery sizes and maximum charging levels. Vehicles Charging Load Profile (VCLP) is developed and implemented in IEEE 30-bus test system that represents a portion of American Electric Power System (Midwestern US). Normalization technique is used to represent real time loads of IEEE 30-bus test system.Comparative study has been performed with respect to uncontrolled charging technique. Results indicated that the proposed charging strategy not only achieved the required battery capacity but also has improved peak load and load factor thus reduces impacts on power system networks.
format Conference or Workshop Item
author Mohd Redzuan, Ahmad
Ismail, Musirin
Muhammad Murtadha, Othman
Nur Azzammudin, Rahmat
author_facet Mohd Redzuan, Ahmad
Ismail, Musirin
Muhammad Murtadha, Othman
Nur Azzammudin, Rahmat
author_sort Mohd Redzuan, Ahmad
title PHEV Charging Strategy Via User Preferences and its Impacts on Power System Network
title_short PHEV Charging Strategy Via User Preferences and its Impacts on Power System Network
title_full PHEV Charging Strategy Via User Preferences and its Impacts on Power System Network
title_fullStr PHEV Charging Strategy Via User Preferences and its Impacts on Power System Network
title_full_unstemmed PHEV Charging Strategy Via User Preferences and its Impacts on Power System Network
title_sort phev charging strategy via user preferences and its impacts on power system network
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/8382/1/PHEV_Charging_Strategy_Via_User_Preferences_and_Its_Impacts_on_Power_System_Network.pdf
http://umpir.ump.edu.my/id/eprint/8382/
http://dx.doi.org/10.1109/CENCON.2014.6967470
_version_ 1643665856763265024
score 13.211869

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