A Data Driven Approach to Robust Event Detection in Smart Grids Based on Random Matrix Theory and Kalman Filtering

A Data Driven Approach to Robust Event Detection in Smart Grids Based on Random Matrix Theory and Kalman Filtering

Increasing levels of complexity, due to growing volumes of renewable generation with an associated influx of power electronics, are placing increased demands on the reliable operation of modern power systems. Consequently, phasor measurement units (PMUs) are being rapidly deployed in order to furthe...

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Bibliographic Details
Main Authors: Fujia Han, Phillip M. Ashton, Maozhen Li, Ioana Pisica, Gareth Taylor, Barry Rawn, Yi Ding
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Energies
Subjects:
event detection
Kalman filtering
phasor measurement units (PMUs)
random matrix theory (RMT)
situational awareness
Online Access:https://www.mdpi.com/1996-1073/14/8/2166

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https://www.mdpi.com/1996-1073/14/8/2166

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