Optimal scheduling of household appliances for demand response

Setlhaolo, D and Xia, Xiaohua and Zhang, Jiangfeng (2014) Optimal scheduling of household appliances for demand response. Electric Power Systems Research, 116. pp. 24-28. ISSN 0378-7796 (https://doi.org/10.1016/j.epsr.2014.04.012)

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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.