Name
Title | ||
|---|---|---|
Synchrophasor-Based Dominant Electromechanical Oscillation Modes Extraction Using Opdmd Considering Measurement Noise |
Abstract | ||
|---|---|---|
A synchrophasor-based approach for security status monitoring is an effective method of assessing power system stability without models, but the accuracy of this method is greatly affected by noise at the same time. This paper proposes an optimized dynamic mode decomposition algorithm to extract electromechanical oscillation modes from the noise-containing data of wide-area measurements. This algorithm effectively improves the ability of the dynamic mode decomposition technique to resist noise in the observed data by using variable projection and a finite-difference style approximation method. The proposed method provides a reliable extraction of the spatial relationships (mode shape), dynamic trends (frequency and damping ratio), and dominant modes using the derived energy relationships in the measured data. The performance of the proposed method has been investigated using simulated data from a simplified 14-generator system and measured data from a real system. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JSYST.2019.2900063 | IEEE SYSTEMS JOURNAL |
Keywords | Field | DocType |
Dominant modes, electromechanical modes, modal energy, noise, optimized dynamic mode decomposition (OpDMD) | Dynamic mode decomposition,Oscillation,Effective method,Control theory,Computer science,Electric power system,Damping ratio,Real-time computing,Resist,Normal mode | Journal |
Volume | Issue | ISSN |
13 | 3 | 1932-8184 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Deyou Yang | 1 | 0 | 0.68 |
| Tao Zhang | 2 | 0 | 0.34 |
| Guowei Cai | 3 | 0 | 1.69 |
| Bo Wang | 4 | 57 | 18.01 |
| Zhenglong Sun | 5 | 3 | 8.52 |