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.

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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

Controls
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article

Distributed Two-Layer Predictive Control of AC Microgrid Clusters With Communication Delays

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9 citations
IEEE Transactions on Smart Grid
Microgrid Control and Optimization
10.93
article

Distributed Two-Layer Predictive Control of AC Microgrid Clusters With Communication Delays

Tao Yang, Qiang Xiao, Xiaoping Wang, Chang Yu, Jingang Lai
article en
9 citations

Abstract

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.

IEEE Transactions on Smart GridVol. 16(3)
Beijing Academy of Artificial Intelligence (CN), Wuhan University of Science and Technology (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 2%
Microgrid Control and Optimization
10.93
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