Data Driven Method for Event Classification via Regional Segmentation of Power Systems

Data Driven Method for Event Classification via Regional Segmentation of Power Systems

This paper presents a data-driven approach for event classification via a regional segmentation of power systems. The data-driven approach is suitable for the complex power systems under transient conditions, as it directly derives the information from the measurement signal database instead of mode...

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Bibliographic Details
Main Authors: Do-In Kim, Lingfeng Wang, Yong-June Shin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Synchrophasor
phasor measurement unit (PMU)
event classification
clustering
wavelet analysis
characteristic ellipsoid
Online Access:https://ieeexplore.ieee.org/document/9025007/

Internet

https://ieeexplore.ieee.org/document/9025007/

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