Multitimescale Coordinated Adaptive Robust Operation for Industrial Multienergy Microgrids with Load Allocation

Cuo Zhang, Yan Xu*, Zhao Yang Dong, Lin Feng Yang

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

68 Citations (Scopus)

Abstract

Manufactory load allocation can be used as an effective industrial demand response scheme to reduce operating costs for industrial multienergy microgrids (iMEMGs). In addition, combined cooling, heat, and power (CCHP) plants with auxiliary devices can provide low-cost multiple energies for industrial plants. However, uncertain power generation from renewable energy sources impairs the iMEMG's operation, leading to challenges such as increased operating costs and energy supply deficiency. To conquer these challenges, this paper proposes a multitimescale coordinated adaptive robust operation approach where manufactory load allocation and iMEMG operation are optimally coordinated on different timescales. In the weekly scheduling stage, industrial loads and CCHP units are scheduled for the following week and the hourly iMEMG operation is optimized within the week. Besides, this paper applies an adaptive robust optimization method where the uncertain renewable power generation is fully addressed. The proposed approach is tested on an iMEMG with various industrial manufactories, and it is compared with conventional methods. The simulation results indicate that compared to the conventional ones, the proposed approach can guarantee a robustly optimal operation solution for the iMEMG against any uncertainty realization. © 2019 IEEE.
Original languageEnglish
Pages (from-to)3051-3063
JournalIEEE Transactions on Industrial Informatics
Volume16
Issue number5
Online published27 Mar 2019
DOIs
Publication statusPublished - May 2020
Externally publishedYes

Research Keywords

  • Adaptive robust optimization
  • demand response
  • industrial load
  • multienergy microgrid
  • uncertainty

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