| Autor: |
Deyou Yang, Jie Tian, Lixin Wang, Guowei Cai, Jin Ma, Bo Wang |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
IEEE Access, Vol 8, Pp 192408-192418 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2020.3032789 |
| Popis: |
Synchrophasor-based electromechanical modes extraction offers essential information for monitoring the small-signal stability of power systems without models. This article proposes an optimal mode decomposition (OMD) method for extracting electromechanical modes from noise-contaminated measurement data. In the proposed method, an iterative optimal process based on the Grassman manifold is employed to enhance robustness to measurement noise, such that the fixed low-dimensional subspace using proper orthogonal decomposition (POD) is not required in the proposed method. The proposed method gives a reliable extraction of frequency and damping ratio as well as the mode shape using multichannel wide-area measurement data. The performance of the proposed method is tested using simulated data from the IEEE 4-machine 2-area test system, 16-generator 5-area test system and measured data from a real power system. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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