Physical Mechanism Enabled Neural Network for Power System Dynamic Security Assessment

Physical Mechanism Enabled Neural Network for Power System Dynamic Security Assessment

Data-driven artificial intelligence technologies have emerged as increasingly fascinating tools for assessing power system security. However, their inherent mechanism of inexplicability and unreliability now limits their scalability in power systems. To address this problem, this paper proposes a ne...

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Bibliographic Details
Main Authors: Guozheng Wang, Jianbo Guo, Shicong Ma, Kui Luo, Xi Zhang, Qinglai Guo, Shixiong Fan, Tiezhu Wang, Weilin Hou
Format: Article
Language:English
Published: China electric power research institute 2024-01-01
Series:CSEE Journal of Power and Energy Systems
Subjects:
Credibility index
machine intelligence
neural network structure
physical properties
power system
security assessment
Online Access:https://ieeexplore.ieee.org/document/10165678/
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