Name
Abstract | ||
|---|---|---|
We propose a method for estimating the activity of oscillatory modes in power systems. The frequencies and mode shapes of the modes of interest are assumed to be known beforehand, either from linear modal analysis or from empirical mode estimation methods, and are used in combination with measurements from Phasor Measurement Units to estimate the instantaneous mode excitation in terms of amplitude and phase. The estimation is carried out using non-linear least squares to fit a set of curves to the measured data. Combining mode shapes with measured data allows the activity to be estimated from only a low number of consecutive measurement snapshots, resulting in a problem of low computational complexity that can be solved fast enough for the method to run online.The purpose of estimating the mode activity is, firstly, to contribute to increased situational awareness and facilitate methods that build further upon this information, and secondly, to be able to synthesize signals that can serve as input to controllers for power oscillation damping. It is expected that using this excitation measure will result in a more robust controller that is less prone to disturbances and noise. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ISGT-Europe47291.2020.9248789 | 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) |
Keywords | DocType | ISBN |
Empirical modal analysis,non-linear least squares,power oscillations,wide area monitoring and control | Conference | 978-1-7281-7101-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hallvar Haugdal | 1 | 0 | 0.34 |
| Kjetil Uhlen | 2 | 3 | 3.83 |
| Daniel Müller | 3 | 0 | 0.34 |
| Hjörtur Jóhannsson | 4 | 0 | 0.34 |