Distributed Monitoring of Power System Oscillations Using Multiblock Principal Component Analysis and Higher-order Singular Value Decomposition

Distributed Monitoring of Power System Oscillations Using Multiblock Principal Component Analysis and Higher-order Singular Value Decomposition

The primary goal in the analysis of hierarchical distributed monitoring and control architectures is to study the spatiotemporal patterns of the interactions between areas or subsystems. In this paper, a novel conceptual framework for distributed monitoring of power system oscillations using multi-b...

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Bibliographic Details
Main Authors: Arturo Roman-Messina, Alejandro Castillo-Tapia, David A. Roman-Garcia, Marcos A. Hernandez-Ortega, Carlos A. Morales-Rergis, Claudia M. Castro-Arvizu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Distributed monitoring
multiblock principal component analysis (MB-PCA)
higher-order singular value decomposition (HOSVD)
Tucker decomposition
Online Access:https://ieeexplore.ieee.org/document/9664623/

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