Reconstruction Residuals Based Long-term Voltage Stability Assessment Using Autoencoders

Reconstruction Residuals Based Long-term Voltage Stability Assessment Using Autoencoders

Real-time voltage stability assessment (VSA) has long been an extensively research topic. In recent years, rapidly mounting deep learning methods have pushed online VSA to a new height that large amounts of learning algorithms are applied for VSA from the perspective of measurement data. Deep learni...

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Bibliographic Details
Main Authors: Haosen Yang, Robert C. Qiu, Houjie Tong
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Reconstruction loss
autoencoders
voltage stability
long-short-term memory (LSTM)
feature moving strategy
Online Access:https://ieeexplore.ieee.org/document/9275597/

Internet

https://ieeexplore.ieee.org/document/9275597/

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