at Google ScholarTitle data
Perić, Vedran S. ; Bombois, Xavier ; Vanfretti, Luigi:
Optimal signal selection for power system ambient mode estimation using a prediction error criterion.
In: IEEE Transactions on Power Systems.
Vol. 31
(2016)
Issue 4
.
- pp. 2621-2633.
ISSN 1558-0679
DOI: https://doi.org/10.1109/TPWRS.2015.2477490
Abstract in another language
This paper formulates an optimality criterion for the selection of synchrophasor signals to be used in ambient mode estimators. This criterion, which is associated with each measured signal and each dominant mode, is defined as the asymptotic variance of the corresponding estimated mode damping ratio. The value of the criterion is computed directly from an estimated autoregressive moving average (ARMA) model. Because the online computation of the defined criterion (for each measured signal in the system) may be computationally expensive, a fast pre-selection method for initial signal ranking is formulated. The pre-selection method is used to effectively determine a set of the candidate signals for which the formal criterion is evaluated in a second stage. The methodology is illustrated using synthetic measurements from the KTH Nordic 32 and the IEEE 39-bus test systems.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Engineering Science > Chair Intelligent Energy Management > Chair Intelligent Energy Management - Univ.-Prof. Dr. Vedran Peric |
| Result of work at the UBT: | No |
| DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
| Date Deposited: | 25 Mar 2026 13:38 |
| Last Modified: | 25 Mar 2026 13:38 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/96106 |