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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wies, R.W. Pierre, J.W. Trudnowski, D.J. |
| Copyright Year | 2004 |
| Description | Author affiliation: Alaska Univ., Fairbanks, AK (Wies, R.W.) |
| Abstract | The stability of heavily interconnected power systems is a primary concern in the power utility industry. Accurate knowledge of the low-frequency electromechanical modes in power systems gives vital information about the stability of the system. Current techniques for estimating electromechanical modes are computationally intensive and rely on complex system models. This research complements model-based approaches with the use of measurement-based techniques. Current measurement-based techniques typically require a ringdown from a disturbance. This paper involves the development of a least-mean squares (LMS) adaptive filtering technique to track these low-frequency electromechanical modes. The LMS adaptive filtering technique is applied to simulated data containing a stationary mode, a stationary mode with a fault, and a time-varying mode. The simulated data is generated from a 19-machine test model. The frequency and damping factor of the modes tracked with the LMS technique are compared with the actual modes |
| Starting Page | 1863 |
| Ending Page | 1870 |
| File Size | 532181 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780384652 |
| DOI | 10.1109/PES.2004.1373202 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-06-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Least squares approximation Adaptive filters Power systems Power system stability Power system interconnection Power system modeling Power system measurements Current measurement Testing Frequency |
| Content Type | Text |
| Resource Type | Article |
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