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Resilience Restoration Strategy for Power-Communication Coupled Networks Considering Uncertainty of Renewable Energy Output under Extreme Disasters

delete2026-01-01
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PRE
AI
P
Peiyue Zhang
Y
Yong Wang *
王成福 cover
王成福 (Chengfu Wang)
X
Xiaoming Dong
R
Renfei Che
W
Wei Wu
G
Guozheng Zhang
DOI:10.1109/TIA.2025.3590308delete
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Abstract

Abstract

En 中文
Recently, the increasingly frequent extreme disasters have impacted the safe operation of power grids, and existing research on resilient power grids under low probability high consequence events often overlooks the influence of communication systems on resilience restoration. Therefore, this paper proposes a resilience restoration strategy for power-communication coupled networks considering the uncertainty of renewable energy output. Firstly, a rolling nonparametric Dirichlet Process Gaussian Mixture Model is used to establish an uncertainty model for renewable energy output, and the model parameters are revised based on the spatiotemporal correlation characteristics of wind farms. Secondly, the communication network topology and routing distribution are constructed based on the structural and functional coupling relationships between the power system and the communication system. Then, a resilience restoration strategy is proposed considering the impact of renewable energy output uncertainty and communication control on the power system. Finally, the proposed strategy is tested and analyzed on an improved IEEE RTS 79 system, verifying its correctness and effectiveness for resilience restoration.
Keywords:
Renewable energy sources
Wind farms
Uncertainty
Resilience
Disasters
Power systems
Communication networks
Power grids
Spatiotemporal phenomena
Power system stability
Fault recovery
power-communication coupling
resilience enhancement method
resilient power grid
uncertainty of renewable energy

Journal

IEEE Transactions on Industry Applications cover
IEEE Transactions on Industry Applications
IF:
4.5
Papers:
1.1W
Citations:
3.5W

Organization

S
shandong university
Scholars:
9.1W
Papers: 6.3W
Citations: 94
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