Distributed Multi-Energy Coordination of Multi-Microgrids with Biogas-Solar-Wind Renewables

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

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

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    This paper proposes a distributed multi-energy 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 multi-carrier energy supplies based on the concept of energy hub, but also exchanges energy with interconnected microgrids and via the transactive market. The multi-microgrid scheduling is a challenging optimization problem due to its severe constraints and strong couplings. A multi-microgrid multi-energy 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 multi-microgrid system. The proposed method has been fully tested and benchmarked on different scaled multi-microgrid system over a 24-hour 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 multi-microgrid problems.
    Original languageEnglish
    JournalIEEE Transactions on Industrial Informatics
    Issue number6
    Pages (from-to)3254-3266
    Number of pages11
    Publication statusPublished - 2019


    • Energy hub
    • Multi-energy couplings
    • Distributed optimization
    • Multi-microgrids
    • Renewable energy


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