at Google ScholarTitle data
Perić, Vedran S. ; Bogodorova, Tetiana ; Mete, Ahmet N. ; Vanfretti, Luigi:
Model order selection for probing-based power system mode estimation.
In:
2015 IEEE Power and Energy Conference at Illinois (PECI). -
Champaign, Illinois, USA
,
2015
. - pp. 1-5
DOI: https://doi.org/10.1109/PECI.2015.7064883
Abstract in another language
The paper discusses model order selection for probing mode estimation algorithms. Four methods are analyzed and compared: 1) Residual analysis based model order selection, 2) Model order selection based on singular values, 3) Akaike Information Criterion, and 4) Variance-Accounted-For (VAF) as a measure of optimal fitting between measured data and model response. The methods are assessed using synthetic PMU measurements from the simulation of the KTH Nordic 32 Test system and the IEEE test system with 50 generators and 145 buses.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | No |
| 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: | 30 Apr 2026 12:21 |
| Last Modified: | 30 Apr 2026 12:21 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/96105 |