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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Abstract

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
Volume15
Issue number6
Pages (from-to)3254-3266
Number of pages11
ISSN1551-3203
DOIs
Publication statusPublished - 2019

Keywords

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

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