A Hierarchical Self-Adaptive Method for Post-Disturbance Transient Stability Assessment of Power Systems Using an Integrated CNN-Based Ensemble Classifier

A Hierarchical Self-Adaptive Method for Post-Disturbance Transient Stability Assessment of Power Systems Using an Integrated CNN-Based Ensemble Classifier

Data-driven approaches using synchronous phasor measurements are playing an important role in transient stability assessment (TSA). For post-disturbance TSA, there is not a definite conclusion about how long the response time should be. Furthermore, previous studies seldom considered the confidence...

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Bibliographic Details
Main Authors: Ruoyu Zhang, Junyong Wu, Yan Xu, Baoqin Li, Meiyang Shao
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Energies
Subjects:
Transient stability assessment (TSA)
intelligent system (IS)
convolutional neural network (CNN)
ensemble learning
hierarchical self-adaptive method
integrated decision-making rule
power systems
Online Access:https://www.mdpi.com/1996-1073/12/17/3217

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https://www.mdpi.com/1996-1073/12/17/3217

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