Optimal scheduling of household appliances for smart home energy management considering demand response

Xinhui Lu, Kaile Zhou, Tung Sun Chan, Shanlin Yang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

20 Citations (Scopus)


As an important part of demand-side management, residential demand response (DR) can not only reduce consumer’s electricity costs, but also improve the stability of power system operation. In this regard, this paper proposes an optimal scheduling model of household appliances for smart home energy management considering DR. The model includes electricity cost, incentive and inconvenience of consumers under time-of-use (TOU) electricity price. Further, this paper discusses the influence of inconvenience weighting factor on total costs. At the same time, the influence of incentive on optimization results is also analyzed. The simulation results show the effectiveness of the proposed model, which can reduce 34.71% of consumer’s total costs. It also illustrates that the total costs will be raised with the increase in inconvenience weighting factor. Thus, consumers will choose whether to participate in DR programs according to their preferences. Moreover, the result demonstrates that incentives are conducive to shifting load and reducing the consumer’s total energy costs. The presented study provides new insight for the applications of residential DR.
Original languageEnglish
Pages (from-to)1639-1653
Number of pages15
JournalNatural Hazards
Issue number3
Publication statusPublished - 1 Sep 2017


  • Demand response
  • Energy management
  • Household appliances
  • Scheduling

ASJC Scopus subject areas

  • Water Science and Technology
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)

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