Data-Driven Short-Term Voltage Stability Assessment Using Convolutional Neural Networks Considering Data Anomalies and Localization

Data-Driven Short-Term Voltage Stability Assessment Using Convolutional Neural Networks Considering Data Anomalies and Localization

Short-term voltage stability of power systems is governed by load dynamics, especially the proportion of small induction motors prevalent in residential air-conditioners. It is essential to efficiently monitor short-term voltage stability in real-time by detailed data analytics on voltage measuremen...

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Bibliographic Details
Main Authors: Syed Muhammad Hur Rizvi, Sajan K. Sadanandan, Anurag K. Srivastava
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Time-series
deep learning
short-term voltage stability
data-anomalies
1D-convolution NN
Online Access:https://ieeexplore.ieee.org/document/9521499/

Internet

https://ieeexplore.ieee.org/document/9521499/

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