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

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.

Keywords:

• Isolated industrial micro-grid
• assembly process
• demand response
• distributionally robust chance constraint

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data used to support the findings of this study are available from the corresponding author.

Additional information

Funding

This work was supported by the Group Building Scientific Innovation Project for Universities in Chongqing under Grant CXQT21021, and the Joint Training Base Construction Project for Graduate Students in Chongqing under Grant JDLHPYJD2021016.