A Data-Driven Scheme Based on Sparse Projection Oblique Randomer Forests for Real-Time Dynamic Security Assessment

A Data-Driven Scheme Based on Sparse Projection Oblique Randomer Forests for Real-Time Dynamic Security Assessment

With the wide interconnection of power systems and extensive application of phasor measurement units (PMUs), the secure operation of power systems is facing considerable challenges. To satisfy the demand of online dynamic security assessment (DSA) for modern power systems, a data-driven scheme based...

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Bibliographic Details
Main Authors: Yanfeng Lin, Xinyao Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Dynamic security assessment
data-driven
data oversampling
feature selection
sparse projection oblique randomer forests
Online Access:https://ieeexplore.ieee.org/document/9837900/

Internet

https://ieeexplore.ieee.org/document/9837900/

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