A PEV Charging Service Model for Smart Grids

Khaled Shuaib, Liren Zhang, Ahmed Gaouda and Mohammed Abdel-Hafez
Additional contact information
Khaled Shuaib: College of Information Technology, United Arab Emirates University, P.O. Box 17551, Al-Ain, UAE
Liren Zhang: College of Information Technology, United Arab Emirates University, P.O. Box 17551, Al-Ain, UAE
Ahmed Gaouda: College of Engineering, United Arab Emirates University, P.O. Box 17551, Al-Ain, UAE
Mohammed Abdel-Hafez: College of Engineering, United Arab Emirates University, P.O. Box 17551, Al-Ain, UAE

Energies, 2012, vol. 5, issue 11, 1-18

Abstract: 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.

Keywords: vehicle charging scheme; power distribution systems; modeling; plug-in electric vehicle (PEV); smart grid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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