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http://hdl.handle.net/1942/34552
Title: | Online Dynamic Assessment of System Stability using Unscented Kalman Filter | Authors: | Moreno, Ricardo Chamorro, Harold R. Rye, Rebecca Khazraj, Hesam Gonzalez-Longatt, Francisco Sood, Vijay K. MARTINEZ, Wilmar |
Issue Date: | 2020 | Source: | 2020 IEEE 29TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), p. 923 -928 | Series/Report: | Proceedings of the IEEE International Symposium on Industrial Electronics | Abstract: | Estimation systems based on PMU (Phasor Measurement Unit) data are a power system requirement based on the increasing expansion over the past decades. Kalman filter has been proved to be an adequate method for state estimation and data-driven methods. This paper applies the Unscented Kalman Filter to estimate in real-time the rotor angles. This paper proposes a predicting window as a time interval to forecast the rotor angle using real-time information. Emulated PMU sampling data have been used for carrying the simulations and have been validated using the 9-IEEE buses test system. The results confirm the method and the performance of the estimation. | Document URI: | http://hdl.handle.net/1942/34552 | ISBN: | 978-1-7281-5635-4 | ISI #: | WOS:000612836800151 | Category: | C1 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
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