Resilience Assessment and Fault Restoration Method of Distribution Network Considering Secondary Faults of Typhoon Disasters

In recent years, low-probability and high-loss events occur frequently and are of various types. How to reasonably assess the system resilience under extreme weather and formulate efficient restoration schemes for distribution networks considering multi-source synergies are the focus and difficultie...

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Bibliographic Details
Published in2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2) pp. 4218 - 4223
Main Authors Ji, Yiping, Zhou, Jian, Feng, Nan, Wang, Tao, Gu, Xueping, Li, Shaoyan
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.12.2023
Subjects
Adaptation models
Collaboration
distribution network
Distribution networks
grid planning
Indexes
natural disasters
Network topology
resilience assessment
structural reliability
Topology
Uncertainty
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Summary:In recent years, low-probability and high-loss events occur frequently and are of various types. How to reasonably assess the system resilience under extreme weather and formulate efficient restoration schemes for distribution networks considering multi-source synergies are the focus and difficulties of current research. Therefore, the multi-source collaborative restoration model and resilience assessment method of distribution network under extreme weather conditions are established. The load importance of the distribution network is modified according to the network topology, and the resilience indexes based on load importance and fault probability are defined respectively. The modified load importance coefficient and the selected fault scenario are taken as the boundary conditions of the multi-source collaborative recovery model, and the maximum load recovery is taken as the goal. Considering the uncertainty of new energy output and the constraints of power flow safety and topology structure required by the operation of distribution network, a multi-period robust recovery model of distribution network is established, and a load recovery strategy under extreme weather is formulated. Finally, the adaptability of the multi-source cooperative restoration model under extreme weather is analyzed by using a modified 62-node calculation example of distribution network in a certain region, and its resilience level is evaluated.
DOI:10.1109/EI259745.2023.10512560