Distributed multienergy coordination of multimicrogrids with biogas-solar-wind renewables

Da Xu, Bin Zhou, Ka Wing Chan, Canbing Li, Qiuwei Wu, Biyu Chen, Shiwei Xia

Research output: Journal article publicationJournal articleAcademic researchpeer-review

74 Citations (Scopus)


This paper proposes a distributed multienergy management framework for the coordinated operation of interconnected biogas-solar-wind microgrids. In this framework, each microgrid not only schedules its local hybrid biogas-solar-wind renewables for coupled multicarrier energy supplies based on the concept of energy hub but also exchanges energy with interconnected microgrids and via the transactive market. The multimicrogrid scheduling is a challenging optimization problem due to its severe constraints and strong couplings. A multimicrogrid multienergy coupling matrix is thus formulated to model and exploit the inherent biogas-solar-wind energy couplings among electricity, gas, and heat flows. Furthermore, a distributed stochastic optimal scheduling scheme with minimum information exchange overhead is proposed to dynamically optimize energy conversion and storage devices in the multimicrogrid system. The proposed method has been fully tested and benchmarked on the different scaled multimicrogrid system over a 24-h scheduling horizon. Comparative results demonstrated that the proposed approach can reduce the system operating cost and enhance the system energy-efficiency, and also confirm its scalability in solving large-scale multimicrogrid problems.

Original languageEnglish
Article number8501585
Pages (from-to)3254-3266
Number of pages13
JournalIEEE Transactions on Industrial Informatics
Issue number6
Publication statusPublished - Jun 2019


  • Distributed optimization
  • energy hub
  • multienergy couplings
  • multimicrogrids
  • renewable energy

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering


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