Load scheduling and dispatch for aggregators of plug-in electric vehicles

Di Wu, Dionysios C. Aliprantis, Lei Ying

Research output: Contribution to journalArticle

244 Scopus citations

Abstract

This paper proposes an operating framework for aggregators of plug-in electric vehicles (PEVs). First, a minimum-cost load scheduling algorithm is designed, which determines the purchase of energy in the day-ahead market based on the forecast electricity price and PEV power demands. The same algorithm is applicable for negotiating bilateral contracts. Second, a dynamic dispatch algorithm is developed, used for distributing the purchased energy to PEVs on the operating day. Simulation results are used to evaluate the proposed algorithms, and to demonstrate the potential impact of an aggregated PEV fleet on the power system.

Original languageEnglish (US)
Article number6009220
Pages (from-to)368-376
Number of pages9
JournalIEEE Transactions on Smart Grid
Volume3
Issue number1
DOIs
StatePublished - Mar 1 2012

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Keywords

  • Electric vehicles
  • power demand
  • power system economics
  • smart grids

ASJC Scopus subject areas

  • Computer Science(all)

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