Industrial power load scheduling considering demand response

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

1 Scopus Citations
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Author(s)

  • Hongbo Cui
  • Kaile Zhou

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)447-460
Journal / PublicationJournal of Cleaner Production
Volume204
Early online date27 Aug 2018
StatePublished - 10 Dec 2018

Abstract

In the smart grid environment, demand response (DR) program has attracted considerable attention for industrial electricity consumers. There are many optimization problems involved in the DR programs especially the process of industrial power load scheduling. As a friendly interaction between utility companies and industrial electricity consumers, DR program plays an important role in smoothing the load curve, improving the reliability of the power grid and reducing the costs for electricity consumers. In this study, we first introduce some related concepts, including smart grid, Industrial Demand Response and the representations of the industrial production process. Then, the optimal scheduling models for industrial power load in the smart grid environment are presented, and the solving methods of the optimization models are discussed. Finally, the challenges are pointed out and discussed.

Research Area(s)

  • Demand response, Industrial power load, Optimal load scheduling, Smart grid

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Citation Format(s)

Industrial power load scheduling considering demand response. / Cui, Hongbo; Zhou, Kaile.

In: Journal of Cleaner Production, Vol. 204, 10.12.2018, p. 447-460.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review