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QoS Schemes for Charging Plug-in Electric Vehicles in a Smart Grid Environment

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Plug In Electric Vehicles in Smart Grids

Part of the book series: Power Systems ((POWSYS))

Abstract

Plug-in Electric Vehicles (PEVs) are expected to greatly reduce the carbon emissions from surface transport if they are widely used and efficiently charged. One of the main limitations of PEVs is their limited range and relatively long recharging times. This limitation is closely associated with the current battery technologies used in the PEVs. In order efficiently utilize the PEVs, their charging schedules and locations must be effectively integrated within the smart grid. Real-time and reliable integration of PEVs with the smart grid could solve problems related to demand response, cost and time of charging. In this chapter, we survey the state-of-the-art in wireless communication systems for PEVs integration with smart grid, different control and wireless communication strategies. We highlight the main challenges associated with the PEV-smart grid communication system. We then propose a QoS scheme for charging PEVs (QCEV) in a smart grid environment and propose a Channel Access Control (CAC) scheme that provides QoS differentiation to PEVs that are transmitting delay critical information. Unlike conventional contention based distributed QoS approaches used by the IEEE 802.11p MAC protocol, both of the QCEV and the CAC schemes provide centralized QoS differentiation in situations where immediate PEV battery charging is required. The centralization is done at the Access Point (AP) which takes an informed decision on which PEV should receive highest priority to access the channel based on the individual PEV battery levels, and also based on the availability and cost of the electricity at different locations.

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Author information

Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward Ave., Ottawa, ON, K1N 6N5, Canada

    Irfan S. Al-Anbagi & Hussein T. Mouftah

Authors
  1. Irfan S. Al-Anbagi
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  2. Hussein T. Mouftah
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Corresponding author

Correspondence to Hussein T. Mouftah .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Curtin University, Perth, West Australia, Australia

    Sumedha Rajakaruna

  2. Electrical and Computer Engineering, Curtin University, Perth, West Australia, Australia

    Farhad Shahnia

  3. Electrical and Computer Engineering, Curtin University, Perth, West Australia, Australia

    Arindam Ghosh

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Al-Anbagi, I.S., Mouftah, H.T. (2015). QoS Schemes for Charging Plug-in Electric Vehicles in a Smart Grid Environment. In: Rajakaruna, S., Shahnia, F., Ghosh, A. (eds) Plug In Electric Vehicles in Smart Grids. Power Systems. Springer, Singapore. https://doi.org/10.1007/978-981-287-317-0_8

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  • DOI: https://doi.org/10.1007/978-981-287-317-0_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-287-316-3

  • Online ISBN: 978-981-287-317-0

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