Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method

Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method

This letter proposes a reliable transfer learning (RTL) method for pre-fault dynamic security assessment (DSA) in power systems to improve DSA performance in the presence of potentially related unknown faults. It takes individual discrep-ancies into consideration and can handle unknown faults with i...

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Bibliographic Details
Main Authors: Chao Ren, Han Yu, Yan Xu, Zhao Yang Dong
Format: Article
Language:English
Published: China electric power research institute 2024-01-01
Series:CSEE Journal of Power and Energy Systems
Subjects:
Adversarial training
dynamic security assessment
maximum classifier discrepancy
missing data
transfer learning
Online Access:https://ieeexplore.ieee.org/document/10246181/
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https://ieeexplore.ieee.org/document/10246181/

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