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

doi:10.35833/MPCE.2021.000534

Home > Archive>Volume 10, Issue 4, 2022 >818-828. DOI:10.35833/MPCE.2021.000534

DOI:

10.35833/MPCE.2021.000534

Author:

Arturo Román-Messina ^{^1,2}
Arturo Román-Messina
the Center for Research and Advanced Studies (CINVESTAV) of the National Polytechnic Institute of Mexico, Guadalajara, Jal. 45017, Mexico;Instituto Tecnológico y de Estudios Superiores de Monterrey, Guadalajara, Jal. 45070, Mexico
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site
Alejandro Castillo-Tapia ^¹
Alejandro Castillo-Tapia
the Center for Research and Advanced Studies (CINVESTAV) of the National Polytechnic Institute of Mexico, Guadalajara, Jal. 45017, Mexico
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site
David A. Román-García ^²
David A. Román-García
Instituto Tecnológico y de Estudios Superiores de Monterrey, Guadalajara, Jal. 45070, Mexico
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site
Marcos A. Hernández-Ortega ^³
Marcos A. Hernández-Ortega
the Autonomous University of Guadalajara, Guadalajara, Jal. 45129, Mexico
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site
Carlos A. Morales-Rergis ^⁴
Carlos A. Morales-Rergis
the Centro de Ense?anza Técnica Industrial, and he is also with UAG, Guadalajara, Jal. 44638, Mexico
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site
Claudia M. Castro-Arvizu ^³
Claudia M. Castro-Arvizu
the Autonomous University of Guadalajara, Guadalajara, Jal. 45129, Mexico
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site

Affiliation:

1.the Center for Research and Advanced Studies (CINVESTAV) of the National Polytechnic Institute of Mexico, Guadalajara, Jal. 45017, Mexico;2.Instituto Tecnológico y de Estudios Superiores de Monterrey, Guadalajara, Jal. 45070, Mexico;3.the Autonomous University of Guadalajara, Guadalajara, Jal. 45129, Mexico;4.the Centro de Enseñanza Técnica Industrial, and he is also with UAG, Guadalajara, Jal. 44638, Mexico

Fund Project:

Article

Figures

Metrics

Reference

Cited by

Materials

Abstract:

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 multiblock principal component analysis (MB-PCA) and higher-order singular value decomposition (HOSVD) is proposed to understand, characterize, and visualize the global behavior of the power system. The proposed framework can be used to evaluate the influence of a given area or utility on the oscillatory behavior, uncover low-dimensional structures from high-dimensional data, and analyze the effects of heterogeneous data on the modal characteristics and interpretation of power system. The metrics are then investigated to examine the relationships between the dynamic patterns and participation of individual data blocks in the global behavior of the system. Practical application of these techniques is demonstrated by case studies of two systems: a 14-machine test system and a 5449-bus 635-generator equivalent model of a large power system.

Key words:Distributed monitoring ; multiblock principal component analysis (MB-PCA) ; higher-order singular value decomposition (HOSVD) ; Tucker decomposition

Get Citation

Copy

Article Metrics

Abstract:
PDF:
HTML:
Cited by:

History

Received:August 03,2021
Revised:October 15,2021
Adopted:
Online: July 15,2022
Published:

Home

Introduction

Editorial Board

For Author

Call For Papers

APC

Sponsor & Publisher

Get Citation

Share

Article Metrics

History