Topology Control for Multimicrogrid Stabilization

Multimicrogrid (MMG) systems are inherently prone to instabilities, while the topological flexibility of their interconnection networks has potential to stabilize the system, which has not been explored. This paper proposes a novel emergency control approach for MMGs, i.e., topology control, which switches between different topologies of the interconnection network after disturbances to stabilize the system. From the switched system perspective, the underlying core problem of the topology control is stated as a stabilization problem by topology switching, i.e., designing a state-dependent topology switching law and computing the stabilizable region. To address this problem, a multiple Lyapunov functions (MLFs) based stabilization theorem is derived, establishing the theoretical framework; then, the neural MLFs method is developed to find the related MLFs. Finally, numerical studies demonstrate the effectiveness of the topology control in MMG stabilization.

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Publication Details

Journal
IEEE Transactions on Smart Grid
Published
2024-08-30
DOI
https://doi.org/10.1109/tsg.2024.3452095
Citations
1
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
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article

Topology Control for Multimicrogrid Stabilization

Yue Song, Tong Han, David J. Hill, Tao Liu
1 citations
IEEE Transactions on Smart Grid
Distributed and Parallel Computing Systems
0.35
article

Topology Control for Multimicrogrid Stabilization

Yue Song, Tong Han, David J. Hill, Tao Liu
article en
1 citations

Abstract

Multimicrogrid (MMG) systems are inherently prone to instabilities, while the topological flexibility of their interconnection networks has potential to stabilize the system, which has not been explored. This paper proposes a novel emergency control approach for MMGs, i.e., topology control, which switches between different topologies of the interconnection network after disturbances to stabilize the system. From the switched system perspective, the underlying core problem of the topology control is stated as a stabilization problem by topology switching, i.e., designing a state-dependent topology switching law and computing the stabilizable region. To address this problem, a multiple Lyapunov functions (MLFs) based stabilization theorem is derived, establishing the theoretical framework; then, the neural MLFs method is developed to find the related MLFs. Finally, numerical studies demonstrate the effectiveness of the topology control in MMG stabilization.

IEEE Transactions on Smart GridVol. 16(1)
Tongji University (CN), Nanyang Technological University (SG), University of Hong Kong (HK)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 40%
Distributed and Parallel Computing Systems
0.35
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Topology Control for Multimicrogrid Stabilization — Yue Song, Tong Han, et al. · IEEE Transactions on Smart Grid (2024) | TGRS Research Map | TGRS