On the Ability of Eigensystem Realization Algorithm to Identify the Dominant System Modes

Eigensystem realization algorithm (ERA) is a popular ring-down mode identification algorithm used for power system identification from wide area measurement systems. This essentially involves construction of a state matrix from the measured ring-down response signal through some matrix manipulation. The eigenvalues of the state matrix thus obtained are known to match with the dominant system modes excited upon the occurrence of a disturbance. However, a mathematical proof for the similarity of the state matrix thus constructed from the response signal to the reduced-rank state matrix obtained through detailed modelling of the system is not available. This paper ventures successfully in this direction by relating the Vandermonde- and singular value-decompositions of the data matrix pertaining to pulse response.

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Published
2025-02-06
DOI
https://doi.org/10.1109/areev64307.2025.10925199
Primary Topic
Advanced Algorithms and Applications
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article
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On the Ability of Eigensystem Realization Algorithm to Identify the Dominant System Modes

K. N. Shubhanga, Krishna Rao
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Advanced Algorithms and Applications
article

On the Ability of Eigensystem Realization Algorithm to Identify the Dominant System Modes

K. N. Shubhanga, Krishna Rao
article en

Abstract

Eigensystem realization algorithm (ERA) is a popular ring-down mode identification algorithm used for power system identification from wide area measurement systems. This essentially involves construction of a state matrix from the measured ring-down response signal through some matrix manipulation. The eigenvalues of the state matrix thus obtained are known to match with the dominant system modes excited upon the occurrence of a disturbance. However, a mathematical proof for the similarity of the state matrix thus constructed from the response signal to the reduced-rank state matrix obtained through detailed modelling of the system is not available. This paper ventures successfully in this direction by relating the Vandermonde- and singular value-decompositions of the data matrix pertaining to pulse response.

National Institute of Technology Karnataka (IN), Nitte University (IN)
Openalex Percentile: Top 95%
Advanced Algorithms and Applications
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