Spatio-Temporal Coordinated V2V Energy Swapping Strategy for Mobile PEVs

Miao Wang, Muhammad Ismail Muhammad, Ran Zhang, Xuemin Shen, Erchin Serpedin, Khalid Qaraqe

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

A vehicle-to-vehicle (V2V) energy swapping strategy can provide an alternative fast charging way for plug-in electric vehicles (PEVs) to relieve the charging overload problem in the power system during peak-demand hours. The main challenges in designing an efficient V2V energy swapping strategy are: 1) to stimulate mobile PEVs to participate in an energy swapping transaction that balances supply with demand at aggregators and 2) to achieve optimal energy utilization and individual PEVs' profits. In this paper, we present a novel smart grid architecture with enhanced communication capabilities for mobile PEVs, via a heterogeneous wireless network-enhanced smart grid. We propose an online V2V energy swapping strategy based on price control. Specifically, mobile PEVs with surplus energy are motivated by getting paid to contribute to a V2V energy swapping transaction at aggregators with energy-hungry PEVs. To evaluate the performance of the proposed V2V energy swapping strategy, a realistic suburban scenario is developed in VISSIM to track the PEVs' mobility using the generated simulation traces. Extensive simulation results are given to demonstrate the efficacy of the proposed V2V energy swapping strategy.

Original languageEnglish
Pages (from-to)1566-1579
Number of pages14
JournalIEEE Transactions on Smart Grid
Volume9
Issue number3
DOIs
Publication statusPublished - 1 May 2018

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Keywords

  • energy swapping
  • HetNet-enhanced smart grid
  • Plug-in electric vehicles
  • price control
  • range anxiety
  • spatio-temporal coordination

ASJC Scopus subject areas

  • Computer Science(all)

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