Decentralized charging control for large populations of plug-in electric vehicles: Application of the Nash certainty equivalence principle

  • Zhongjing Ma*
  • , Duncan Callaway
  • , Ian Hiskens
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

122 Citations (Scopus)

Abstract

The paper develops and illustrates a novel decentralized charging control algorithm for large populations of plug-in electric vehicles (PEVs). The proposed algorithm is an application of the so-called Nash certainty equivalence principle (or mean-field games.) The control scheme seeks to achieve social optimality by establishing a PEV charging schedule that fills the overnight demand valley. The paper discusses implementation issues and computational complexity, and illustrates concepts with various numerical examples.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Control Applications, CCA 2010
Pages191-195
Number of pages5
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE International Conference on Control Applications, CCA 2010 - Yokohama, Japan
Duration: 8 Sept 201010 Sept 2010

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Conference

Conference2010 IEEE International Conference on Control Applications, CCA 2010
Country/TerritoryJapan
CityYokohama
Period8/09/1010/09/10

Keywords

  • 'Valley-fill' charging control
  • Decentralized control
  • Nash certainty equivalence (NCE) principle
  • Plug-in electric vehicles (PEVs)

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