Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75977
Title: Optimal scheduling of household appliances for smart home energy management considering demand response
Authors: Lu, XH
Zhou, KL
Chan, FTS 
Yang, SL
Keywords: Demand response
Energy management
Household appliances
Scheduling
Issue Date: 2017
Publisher: Springer
Source: Natural hazards, 2017, v. 88, no. 3, p. 1639-1653 How to cite?
Journal: Natural hazards 
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.
URI: http://hdl.handle.net/10397/75977
ISSN: 0921-030X
EISSN: 1573-0840
DOI: 10.1007/s11069-017-2937-9
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