Fault Recovery Method for Distribution Networks Based on the Fusion of Intelligent Agents of Islanded Microgrids
With the access of a large number of distributed resources, when a blackout occurs in the distribution network, the power supply of important loads can be quickly restored through the collaboration of intelligent agents of islanded microgrids (IAIMs), which improves the utilization rate and spatial permeability of distributed resources, and improves the load recovery rate and power supply duration. Therefore, this paper proposes a fault recovery method based on the fusion of IAIMs for distribution network considering information-energy coupling. The method includes two parts : optimal control of IAIMs based on information-energy coupling. and fault recovery method based on the fusion of IAIMs in distribution network. Firstly, the distribution network is divided into multiple IAIMs after fault, the frequency and voltage of each IAIM are optimized based the distributed information-energy fusion collaborative control method. Then, fault recovery method is proposed, based on the fusion of IAIMs in distribution network, i.e., optimization control of the switch state, voltage of the tie line and frequency of IAIMs. Finally, Simulation results show that the proposed method increases the equivalent load recovery rate and significantly reduces restoration time, thereby enhancing the overall recovery efficiency of the distribution network.
Authors
- Kewei Jiang (ORCID: https://orcid.org/0000-0002-6706-4741)
- Liangliang Huang (ORCID: https://orcid.org/0000-0002-9830-148X)
- Kaixiang Jia
- Xiaoyan Bian (ORCID: https://orcid.org/0000-0002-0892-2128)
- Ying Liu (ORCID: https://orcid.org/0000-0002-6437-4242)
- Wei Xue (ORCID: https://orcid.org/0000-0002-4942-7748)
- Yanjun Wen
- Z. Chen (ORCID: https://orcid.org/0000-0002-9166-8246)
Institutions
- Shanghai University of Electric Power (CN)
- Tianjin Research Institute of Electric Science (China) (CN)
Publication Details
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1109/ceepe64987.2025.11033989
- Primary Topic
- Smart Grid Security and Resilience
- Type
- article
- Field-Weighted Citation Impact
- 0.00