Joint optimization of electric vehicle and home energy scheduling considering user comfort preference

Duong Tung Nguyen, Long Bao Le

Research output: Contribution to journalArticlepeer-review

166 Scopus citations

Abstract

In this paper, we investigate the joint optimization of electric vehicle (EV) and home energy scheduling. Our objective is to minimize the total electricity cost while considering user comfort preference. We take both household occupancy and EV travel patterns into account. The novel contributions of this paper lie in the exploitation of EVs as dynamic storage facility as well as detailed modeling of user comfort preference, thermal dynamics, EV travel, and customer occupancy patterns in a concrete optimization framework. Extensive numerical results are presented to illustrate the efficacy of the proposed design. Specifically, we show that the proposed design can achieve significant saving in electricity cost, allow more flexibility in setting the tradeoff between cost and user comfort, and enable to reduce energy demand during peak hours. We also demonstrate the benefits of applying the proposed framework to a residential community compared to optimization of individual household separately.

Original languageEnglish (US)
Article number6596523
Pages (from-to)188-199
Number of pages12
JournalIEEE Transactions on Smart Grid
Volume5
Issue number1
DOIs
StatePublished - Jan 2014
Externally publishedYes

Keywords

  • aggregator
  • cost minimization
  • day-ahead electricity price
  • Electric vehicle
  • energy management system
  • HVAC system
  • occupancy pattern
  • travel pattern
  • user comfort

ASJC Scopus subject areas

  • Computer Science(all)

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