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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhou, N. Trudnowski, D. Pierre, J.W. |
| Copyright Year | 2009 |
| Description | Author affiliation: Montana Tech of The University of Montana, Butte, 59701, USA (Trudnowski, D.) || University of Wyoming, Laramie, 82071, USA (Pierre, J.W.) || Pacific Northwest National Lab, Richland, WA 99352, USA (Zhou, N.) |
| Abstract | Measurement-based mode-estimation methods are utilized to estimate electromechanical modes of a power system using phasor measurement units (PMU) data. These methods need to extract a certain amount of information before they can provide a useful mode estimation. Traditionally, the information is gathered solely from measurement data. A priori mode information from other resources (e.g. model eigenvalue analysis, engineering knowledge) are not fully utilized. For real-time applications, this means that the mode estimation takes time to converge. By adding a mode regularization term in the objective function, this paper proposes a mode initialization method to include a priori mode information in a regularized robust recursive least squares (R3LS) algorithm for on-line mode estimation. The proposed method is tested using a simple model, a 17 machine model and is shown to be able to shorten the convergence period of the R3LS algorithm. The proposed method is also applied on the measurement data recorded right before a major power outage in the western North American Grid on August $10^{th}$ 1996 to show its potential application in detecting an approaching small signal stability problem. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 1124923 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424438105 |
| DOI | 10.1109/PSCE.2009.4840076 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Knowledge engineering power system monitoring power system stability power system parameter estimation Autoregressive moving average processes robustness power system measurements Data mining Power system modeling Information analysis least squares methods power system identification Power system measurements Power measurement Power system analysis computing recursive estimation Phasor measurement units Eigenvalues and eigenfunctions Power systems |
| Content Type | Text |
| Resource Type | Article |
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