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

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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.

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Acknowledgements

The authors would like to thank Prof. Panos M. Pardalos for his valuable comments and suggestions. We acknowledge the financial support from National Natural Science Foundation of China (No. 71501056), China Postdoctoral Science Foundation (No. 2017M612072), Fundamental Research Funds for the Central Universities (No. JZ2016HGTB0728), Anhui Provincial Natural Science Foundation Program (No. 1608085QG165) and the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (No. 71521001).

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Authors and Affiliations

  1. School of Management, Hefei University of Technology, Hefei, 230009, China

    Xinhui Lu, Kaile Zhou & Shanlin Yang

  2. Key Laboratory of Process Optimization and Intelligent Decision-making, Ministry of Education, Hefei, 230009, China

    Xinhui Lu, Kaile Zhou & Shanlin Yang

  3. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

    Felix T. S. Chan

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  1. Xinhui Lu
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  2. Kaile Zhou
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  3. Felix T. S. Chan
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  4. Shanlin Yang
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Correspondence to Kaile Zhou.

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Lu, X., Zhou, K., Chan, F.T.S. et al. Optimal scheduling of household appliances for smart home energy management considering demand response. Nat Hazards 88, 1639–1653 (2017). https://doi.org/10.1007/s11069-017-2937-9

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  • DOI: https://doi.org/10.1007/s11069-017-2937-9

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