Optimal scheduling of household appliances for demand response

D Setlhaolo, Xiaohua Xia, Jiangfeng Zhang

Research output: Contribution to journalArticle

184 Citations (Scopus)


In this paper, residential demand response is studied through the scheduling of typical home appliances in order to minimize electricity cost and earn the relevant incentive. A mixed integer nonlinear optimization model is built under a time-of-use electricity tariff. A case study shows that a household is able to shift consumption in response to the varying prices and incentives, through which the consumer may realize an electricity cost saving of more than 25%. It has also been shown that at different values of the weighting factor α gives varying costs, from which the consumer is able to choose according to their preferences. Therefore a final decision about participation in the program could be made.
Original languageEnglish
Pages (from-to)24-28
Number of pages5
JournalElectric Power Systems Research
Early online date23 May 2014
Publication statusPublished - Nov 2014


  • household energy management
  • household appliances
  • scheduling
  • demand response
  • inconvenience
  • mixed integer nonlinear programming

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