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

Xinhui Lu, Kaile Zhou (), Felix T. S. Chan and Shanlin Yang
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Xinhui Lu: Hefei University of Technology
Kaile Zhou: Hefei University of Technology
Felix T. S. Chan: The Hong Kong Polytechnic University
Shanlin Yang: Hefei University of Technology

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2017, vol. 88, issue 3, No 16, 1639-1653

Abstract: Abstract 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.

Keywords: Demand response; Energy management; Household appliances; Scheduling (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (7)

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DOI: 10.1007/s11069-017-2937-9

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