Bessel and cosine filtering approaches for electromechanical modes identification
The real-time system monitoring of electromechanical oscillations in power grids is essential to maintain operational control in an optimal state and to make the right decisions in any adverse situation. In this context, this investigation proposes two filtering approaches to identify modal patterns...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-09-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S014206152500417X |
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| author | Rodrigo David Reyes de Luna José Antonio de la O Serna Mario R. Arrieta Paternina Alejandro Zamora-Mendez Antonino López-Rios |
| author_facet | Rodrigo David Reyes de Luna José Antonio de la O Serna Mario R. Arrieta Paternina Alejandro Zamora-Mendez Antonino López-Rios |
| author_sort | Rodrigo David Reyes de Luna |
| collection | DOAJ |
| description | The real-time system monitoring of electromechanical oscillations in power grids is essential to maintain operational control in an optimal state and to make the right decisions in any adverse situation. In this context, this investigation proposes two filtering approaches to identify modal patterns (damping and frequency) from multivariate and multi-modal oscillation signals stemming from multiple PMUs and locations. The key idea behind this proposal lies in introducing the cosine- and Bessel-based filtering to conduct a time–frequency analysis for dealing with the modal identification of nonlinear signals that arise after disturbance in the grid. Thereby, this research develops the theoretical foundations of both filtering perspectives forming bi-orthogonal bases that support their analysis and synthesis equations. Then, mono-component signals are extracted by spectral analysis, and their modal patterns are extracted via Hilbert transform. Numerical experiments conducted on synthetical oscillating signals, simulated-based signals extracted from a well-known power grid, and synchrophasors captured by the Mexican WAMS, demonstrate the applicability of the proposal. |
| format | Article |
| id | doaj-art-e66ff68e49a4424f940c6df849b5a75f |
| institution | Matheson Library |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-e66ff68e49a4424f940c6df849b5a75f2025-07-22T04:12:36ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-09-01170110869Bessel and cosine filtering approaches for electromechanical modes identificationRodrigo David Reyes de Luna0José Antonio de la O Serna1Mario R. Arrieta Paternina2Alejandro Zamora-Mendez3Antonino López-Rios4Autonomous University of Nuevo Leon, Monterrey, 66450, NL, MexicoAutonomous University of Nuevo Leon, Monterrey, 66450, NL, MexicoNational Autonomous University of Mexico, Mexico City, 04510, MEX, MexicoUniversity of Saint Nicholas of Hidalgo, Morelia, 58030, MICH, Mexico; Corresponding author.Centre for Research and Advanced Studies, Guadalajara, 45019, JAL, MexicoThe real-time system monitoring of electromechanical oscillations in power grids is essential to maintain operational control in an optimal state and to make the right decisions in any adverse situation. In this context, this investigation proposes two filtering approaches to identify modal patterns (damping and frequency) from multivariate and multi-modal oscillation signals stemming from multiple PMUs and locations. The key idea behind this proposal lies in introducing the cosine- and Bessel-based filtering to conduct a time–frequency analysis for dealing with the modal identification of nonlinear signals that arise after disturbance in the grid. Thereby, this research develops the theoretical foundations of both filtering perspectives forming bi-orthogonal bases that support their analysis and synthesis equations. Then, mono-component signals are extracted by spectral analysis, and their modal patterns are extracted via Hilbert transform. Numerical experiments conducted on synthetical oscillating signals, simulated-based signals extracted from a well-known power grid, and synchrophasors captured by the Mexican WAMS, demonstrate the applicability of the proposal.http://www.sciencedirect.com/science/article/pii/S014206152500417XElectromechanical oscillationsBessel-filterCosine-filterTime-frequency representationSynchrophasors |
| spellingShingle | Rodrigo David Reyes de Luna José Antonio de la O Serna Mario R. Arrieta Paternina Alejandro Zamora-Mendez Antonino López-Rios Bessel and cosine filtering approaches for electromechanical modes identification International Journal of Electrical Power & Energy Systems Electromechanical oscillations Bessel-filter Cosine-filter Time-frequency representation Synchrophasors |
| title | Bessel and cosine filtering approaches for electromechanical modes identification |
| title_full | Bessel and cosine filtering approaches for electromechanical modes identification |
| title_fullStr | Bessel and cosine filtering approaches for electromechanical modes identification |
| title_full_unstemmed | Bessel and cosine filtering approaches for electromechanical modes identification |
| title_short | Bessel and cosine filtering approaches for electromechanical modes identification |
| title_sort | bessel and cosine filtering approaches for electromechanical modes identification |
| topic | Electromechanical oscillations Bessel-filter Cosine-filter Time-frequency representation Synchrophasors |
| url | http://www.sciencedirect.com/science/article/pii/S014206152500417X |
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