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.
- Energy hub
- Multi-energy couplings
- Distributed optimization
- Renewable energy
Xu, D., Zhou, B., Chan, K. W., Li, C., Wu, Q., Chen, B., & Xia, S. (2019). Distributed Multi-Energy Coordination of Multi-Microgrids with Biogas-Solar-Wind Renewables. IEEE Transactions on Industrial Informatics, 15(6), 3254-3266. https://doi.org/10.1109/TII.2018.2877143