Synchrophasor Forensics: Tracking Spatiotemporal Anomalies and Diagnosing Grid Frequency Events with Machine Learning for Enhanced Situational Awareness

Synchrophasor Forensics: Tracking Spatiotemporal Anomalies and Diagnosing Grid Frequency Events with Machine Learning for Enhanced Situational Awareness

The large-scale integration of microphasor measurement units (<inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>PMUs) is inevitable in smart grids due to the enhanced demand response strategies of active distribution networks and renewab...

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Bibliographic Details
Main Authors: Nandan Gopinathan, Prabhakar Karthikeyan Shanmugam
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Microphasor measurement unit
multiresolution analysis
event detection index
wavelet transforms
frequency excursions
machine learning
Online Access:https://ieeexplore.ieee.org/document/10749799/

Internet

https://ieeexplore.ieee.org/document/10749799/

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