A Five-Stage Algorithm for Estimating Electromechanical Modes of Power Systems

Power system monitoring is essential to ensure the quality and continuity of the electrical power supply. In stability studies, the presence of oscillation modes with low damping ratios can compromise the stable operation of the system and require control measures when necessary. This paper proposes a five-stage algorithm for the identification of electromechanical modes associated with low damping ratios of the system. The proposed algorithm requires the definition of few parameters in its five stages and aims to minimize the mean square error between the measured signal and the estimated signal. Case studies are detailed and discussed and the results achieved highlight the benefits of the five-stage algorithm. The proposed method required the definition of few parameters. The error achieved between the original signal and the estimated signal is extremely low.

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Published
2025-07-04
DOI
https://doi.org/10.1109/ne-iecce64154.2025.11182745
Primary Topic
Engineering Diagnostics and Reliability
Type
article
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article

A Five-Stage Algorithm for Estimating Electromechanical Modes of Power Systems

Murilo E. C. Bento
Engineering Diagnostics and Reliability
article

A Five-Stage Algorithm for Estimating Electromechanical Modes of Power Systems

Murilo E. C. Bento
article en

Abstract

Power system monitoring is essential to ensure the quality and continuity of the electrical power supply. In stability studies, the presence of oscillation modes with low damping ratios can compromise the stable operation of the system and require control measures when necessary. This paper proposes a five-stage algorithm for the identification of electromechanical modes associated with low damping ratios of the system. The proposed algorithm requires the definition of few parameters in its five stages and aims to minimize the mean square error between the measured signal and the estimated signal. Case studies are detailed and discussed and the results achieved highlight the benefits of the five-stage algorithm. The proposed method required the definition of few parameters. The error achieved between the original signal and the estimated signal is extremely low.

Universidade Federal do Rio de Janeiro (BR)
Openalex Percentile: Top 67%
Engineering Diagnostics and Reliability
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