Online Critical Unit Detection and Power System Security Control: An Instance-Level Feature Importance Analysis Approach

Online Critical Unit Detection and Power System Security Control: An Instance-Level Feature Importance Analysis Approach

Rapid and accurate detection of critical units is crucial for the security control of power systems, ensuring reliable and continuous operation. Inspired by the advantages of data-driven techniques, this paper proposes an integrated deep learning framework of dynamic security assessment, critical un...

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Bibliographic Details
Main Authors: Junyu Ren, Li Wang, Shaofan Zhang, Yanchun Cai, Jinfu Chen
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
dynamic security assessment
security control
deep learning
feature importance analysis
model interpretation
Online Access:https://www.mdpi.com/2076-3417/11/12/5460

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