Optimal scheduling of household appliances for demand response

D Setlhaolo, Xiaohua Xia, Jiangfeng Zhang

Research output: Contribution to journalArticlepeer-review

227 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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