Distributed Two-Layer Predictive Control of AC Microgrid Clusters With Communication Delays
This paper proposes a two-layer distributed network predictive control strategy for AC microgrids (MGs) clusters with communication delays. The strategy involves establishing a two-layer communication network to regulate the voltage/frequency of all distributed generators (DGs) within the MG cluster to predefined reference values while ensuring consistency in incremental costs across individual MGs. Furthermore, a multi-step predictive controller is designed, where delay information in the controller is replaced by the latest predictions, enabling proactive compensation for delays. Stability analysis of the closed-loop AC MG clusters is conducted and the response matching condition is derived between the second and tertiary levels. Finally, real-time simulations on an OPAL-RT platform are performed for AC MG clusters, validating the robustness of the proposed control method against communication delays.
Authors
- Tao Yang (ORCID: https://orcid.org/0000-0002-1671-8020)
- Qiang Xiao (ORCID: https://orcid.org/0000-0001-8448-3721)
- Xiaoping Wang (ORCID: https://orcid.org/0000-0002-4909-8286)
- Chang Yu (ORCID: https://orcid.org/0000-0002-6324-4382)
- Jingang Lai (ORCID: https://orcid.org/0000-0002-7244-5346)
Institutions
- Beijing Academy of Artificial Intelligence (CN)
- Wuhan University of Science and Technology (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- IEEE Transactions on Smart Grid
- Published
- 2025-02-12
- DOI
- https://doi.org/10.1109/tsg.2025.3539789
- Citations
- 9
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 10.93
Funders
- National Natural Science Foundation of China