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Optimal Resource Allocation and Charging Prices for Benefit Maximization in Smart PEV-Parking Lots

  • Natural Resources Canada (NRCan)
  • American University of Sharjah
  • University of Waterloo

Research output: Contribution to journalArticlepeer-review

92 Scopus citations

Abstract

The emerging interest in deployment of plug-in electric vehicles (PEVs) in distribution networks represents a great challenge to both system planners and owners of PEV-parking lots. The owners of PEV-parking lots might be interested in maximizing their profit via installing charging units to supply the PEV demand. However, with stringent rules of network upgrades, installing these charging units would be very challenging. Network constraints could be relaxed via controlling the net demand through integrating distributed generation (DG) and/or storage units. This paper presents an optimization model for determining the optimal mix of solar-based DG and storage units, as well as the optimal charging prices for PEVs. The main objective is to maximize the benefit of the PEV-parking lot's owner without violating system constraints. Two cases are considered in this paper: uncoordinated and coordinated PEV demand. A novel mathematical model is further developed whereby the behavior of vehicles' drivers, in response to different charging prices, is considered in generating the energy consumption of PEVs.

Original languageBritish English
Article number7747431
Pages (from-to)906-915
Number of pages10
JournalIEEE Transactions on Sustainable Energy
Volume8
Issue number3
DOIs
StatePublished - Jul 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • distributed generation
  • photo-voltaic
  • plug-in electric vehicle
  • smart PEV-parking lot
  • storage

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