An Edge-Based Adaptive Event-Triggered Network Transmission Scheme for Fully Distributed Power and Frequency Control of Islanded AC Microgrids
In islanded AC microgrids, achieving optimal power distribution across distributed generators (DGs) and restoring frequency post-primary control under limited communication resources is paramount for ensuring stability and flexibility. In this paper, we develop a distributed adaptive secondary control strategy tailored for islanded AC microgrids. This strategy facilitates effective active power sharing and frequency regulation using solely local network information. A unique adaptive edge-based event-triggered transmission mechanism is also proposed, obviating Zeno behavior, to reduce communication overhead. It requires only the degree information of a single node in the DG network topology. Contrasting most existing research that necessitates global network topology details, like the Laplacian matrix, this work establishes a fully distributed control performance criterion that operates devoid of global data. The effectiveness of the proposed control approach is validated using a modified IEEE 34-bus test system.
Authors
- Yankai Cao (ORCID: https://orcid.org/0000-0001-9014-2552)
- Kaibo Shi (ORCID: https://orcid.org/0000-0002-9863-9229)
- Qishui Zhong (ORCID: https://orcid.org/0000-0003-1211-0082)
- Sheng Han (ORCID: https://orcid.org/0000-0001-9671-075X)
- Jianfeng Liu (ORCID: https://orcid.org/0000-0003-0016-7452)
- Hong Zhu (ORCID: https://orcid.org/0009-0004-3628-8541)
Institutions
- Amazon (United States) (US)
- University of British Columbia (CA)
- University of Electronic Science and Technology of China (CN)
- China Electronics Technology Group Corporation (CN)
- Chengdu University (CN)
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Journal
- IEEE Transactions on Network and Service Management
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1109/tnsm.2025.3594954
- Citations
- 1
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- National Natural Science Foundation of China