A PEV Charging Service Model for Smart Grids

Plug-in Electric Vehicles (PEVs) are envisioned to be more popular during the next decade as part of Smart Grid implementations. Charging multiple PEVs at the same time within a power distribution area constitutes a major challenge for energy service providers. This paper discusses a priority-based...

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Main Authors: Mohammed Abdel-Hafez, Ahmed Gaouda, Liren Zhang, Khaled Shuaib
Format: Article
Language:English
Published: MDPI AG 2012-11-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/5/11/4665
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author Mohammed Abdel-Hafez
Ahmed Gaouda
Liren Zhang
Khaled Shuaib
author_facet Mohammed Abdel-Hafez
Ahmed Gaouda
Liren Zhang
Khaled Shuaib
author_sort Mohammed Abdel-Hafez
collection DOAJ
description Plug-in Electric Vehicles (PEVs) are envisioned to be more popular during the next decade as part of Smart Grid implementations. Charging multiple PEVs at the same time within a power distribution area constitutes a major challenge for energy service providers. This paper discusses a priority-based approach for charging PEVs in a Smart Grid environment. In this work, ideas from the communication network paradigm are being utilized and tailored toward achieving the desired objective of monitoring and controlling PEVs electric load in Smart Grid. A detailed example is given to show how uncontrolled penetration of PEVs can impact distribution transformer reliability. The paper introduces the concept of Charging Quality of Service (CQoS) as a smart electric vehicle charging scheme and models it using a priority-controlled leaky bucket approach. The performance of such a model is investigated under the umbrella of a Smart Grid environment.
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spelling doaj.art-ab9e4644829f44a78523bbb7d0a97fd62022-12-22T04:23:38ZengMDPI AGEnergies1996-10732012-11-015114665468210.3390/en5114665A PEV Charging Service Model for Smart GridsMohammed Abdel-HafezAhmed GaoudaLiren ZhangKhaled ShuaibPlug-in Electric Vehicles (PEVs) are envisioned to be more popular during the next decade as part of Smart Grid implementations. Charging multiple PEVs at the same time within a power distribution area constitutes a major challenge for energy service providers. This paper discusses a priority-based approach for charging PEVs in a Smart Grid environment. In this work, ideas from the communication network paradigm are being utilized and tailored toward achieving the desired objective of monitoring and controlling PEVs electric load in Smart Grid. A detailed example is given to show how uncontrolled penetration of PEVs can impact distribution transformer reliability. The paper introduces the concept of Charging Quality of Service (CQoS) as a smart electric vehicle charging scheme and models it using a priority-controlled leaky bucket approach. The performance of such a model is investigated under the umbrella of a Smart Grid environment.http://www.mdpi.com/1996-1073/5/11/4665vehicle charging schemepower distribution systemsmodelingplug-in electric vehicle (PEV)smart grid
spellingShingle Mohammed Abdel-Hafez
Ahmed Gaouda
Liren Zhang
Khaled Shuaib
A PEV Charging Service Model for Smart Grids
Energies
vehicle charging scheme
power distribution systems
modeling
plug-in electric vehicle (PEV)
smart grid
title A PEV Charging Service Model for Smart Grids
title_full A PEV Charging Service Model for Smart Grids
title_fullStr A PEV Charging Service Model for Smart Grids
title_full_unstemmed A PEV Charging Service Model for Smart Grids
title_short A PEV Charging Service Model for Smart Grids
title_sort pev charging service model for smart grids
topic vehicle charging scheme
power distribution systems
modeling
plug-in electric vehicle (PEV)
smart grid
url http://www.mdpi.com/1996-1073/5/11/4665
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