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Optimal residential community demand response scheduling in smart grid

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  • Nan, Sibo
  • Zhou, Ming
  • Li, Gengyin

Abstract

With the reformation of electric power market and the development of smart grid technology, smart residential community, a new residential demand side entity, tends to play an important role in demand response program. This paper presents a demand response scheduling model for the novel residential community incorporating the current circumstances and the future trends of demand response programs. In this paper, smart residential loads are firstly classified into different categories according to various demand response programs. Secondly, a complete scheduling scheme is modeled based on the dispatch of residential loads and distributed generation. The presented model reduces the cost of user’s electricity consumption and decreases the peak load and peak-valley difference of residential load profile without bringing discomfort to the users, through which residential community can participate in demand response efficiently. Besides, this model can also provide support for the decision of electricity pricing strategies under power market development.

Suggested Citation

  • Nan, Sibo & Zhou, Ming & Li, Gengyin, 2018. "Optimal residential community demand response scheduling in smart grid," Applied Energy, Elsevier, vol. 210(C), pages 1280-1289.
    • Handle: RePEc:eee:appene:v:210:y:2018:i:c:p:1280-1289
    DOI: 10.1016/j.apenergy.2017.06.066
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    References listed on IDEAS

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