Research on the Construction and Optimal Regulation of an Urban Distribution-Microgrid Collaborative Multi-Energy Flexible Domain
To enhance the coordination ability between distribution networks and microgrids, a collaborative optimization scheduling method for distribution-microgrids based on flexible operation domains is proposed. A flexible operation domain model for microgrids (MGFOR) is constructed to accurately depict the flexible regulation capacity of microgrids with access to massive flexibility resources. The convex hull fitting expression based on MGFOR is adopted to describe the flexible regulation capacity of microgrids and incorporated into the optimization decision-making process of distribution networks to obtain the reference operation points of each microgrid in the collaborative process of distribution and microgrids. The microgrid performs flexibility decomposition based on the benchmark operating point given by the distribution grid optimization decision and obtains specific scheduling strategies for each flexibility resource while ensuring the economic efficiency and data privacy of the coordinated operation of the distribution-microgrid system. Simulation analysis was conducted using the modified IEEE 33-bus test system as a case study to verify that the proposed method can accurately depict the flexible regulation capability of microgrids, and the proposed decomposition and coordination strategy based on MGFOR can effectively support the flexible scheduling of distribution and microgrids.
Authors
- Jinpeng Wang (ORCID: https://orcid.org/0000-0003-0523-5354)
- Jeremy Gillbanks (ORCID: https://orcid.org/0000-0002-4240-050X)
- Xinyu Zhao (ORCID: https://orcid.org/0000-0002-5128-4424)
- Xinyu You (ORCID: https://orcid.org/0000-0001-5476-1145)
- Shenghan Wen
Institutions
- The University of Western Australia (AU)
- Dalian Polytechnic University (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2026-03-27
- DOI
- https://doi.org/10.3390/app16073252
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00