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Isolated industrial micro-grid demand response with assembly process based on distributionally robust chance constraint

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  • Qian Wu
  • Qiankun Song

Abstract

In this paper, demand response for isolated industrial micro-grid is investigated, in which the typical manufacturing assembly process, battery, conventional generator and PV generation are contained. The typical manufacturing assembly process is modelled by fully considering the coupling relationships between tasks and buffers. On the other hand, the uncertainty for PV generation is taken into account, where the data-driven distributionally robust chance constraints are designed and the error between day-ahead forecast and real-time operation is dealt with by the reserve capacity of conventional generator. In addition, the distributionally robust chance constraints and the expectation operator are reformulated as linear constraints, which can be solved by commercial solver directly. Finally, a case study using lithium-ion battery factory is presented to prove the superiority and effectiveness of the proposed model.

Suggested Citation

  • Qian Wu & Qiankun Song, 2024. "Isolated industrial micro-grid demand response with assembly process based on distributionally robust chance constraint," International Journal of Systems Science, Taylor & Francis Journals, vol. 55(11), pages 2211-2223, August.
  • Handle: RePEc:taf:tsysxx:v:55:y:2024:i:11:p:2211-2223
    DOI: 10.1080/00207721.2024.2337901
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