Optimal experiment design for AC power systems admittance estimation

Publikationstyp
Conference Paper
Date Issued
2020
Sprache
English
Author(s)
Du, Xu
Engelmann, Alexander
Jiang, Yuning
Faulwasser, Timm  
Houska, Boris
TORE-URI
https://hdl.handle.net/11420/46209
Journal
IFAC-PapersOnLine  
Volume
53
Issue
2
Start Page
13311
End Page
13316
Citation
IFAC-PapersOnLine 53 (2): 13311-13316 (2020)
Contribution to Conference
21st IFAC World Congress 2020  
Publisher DOI
10.1016/j.ifacol.2020.12.163
Scopus ID
2-s2.0-85104222525
Publisher
IFAC
The integration of renewables into electrical grids calls for the development of tailored control schemes which in turn require reliable grid models. In many cases, the grid topology is known but the actual parameters are not exactly known. This paper proposes a new approach for online parameter estimation in power systems based on optimal experimental design using multiple measurement snapshots. In contrast to conventional approaches, our method computes optimal excitations extracting the maximum information in each estimation step to accelerate convergence. The performance of the proposed method is illustrated with a case study.
Subjects
Optimal Experiment Design
Power system parameter estimation
DDC Class
004: Computer Sciences
333.7: Natural Resources, Energy and Environment
510: Mathematics