On the Ability of Eigensystem Realization Algorithm to Identify the Dominant System Modes
| dc.contributor.author | Rao, K. | |
| dc.contributor.author | Shubhanga, K.N. | |
| dc.date.accessioned | 2026-02-06T06:33:36Z | |
| dc.date.issued | 2025 | |
| dc.description.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. © 2025 IEEE. | |
| dc.identifier.citation | 2025 International Conference on Advances in Renewable Energy and Electric Vehicles, AREEV 2025, 2025, Vol., , p. 101-106 | |
| dc.identifier.uri | https://doi.org/10.1109/AREEV64307.2025.10925199 | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/28728 | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.subject | Eigensystem realization algorithm (ERA) | |
| dc.subject | electromechanical mode identification | |
| dc.subject | right equivalence | |
| dc.subject | singular value decomposition (SVD) | |
| dc.subject | Vandermonde decomposition | |
| dc.title | On the Ability of Eigensystem Realization Algorithm to Identify the Dominant System Modes |
