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Online power system parameter estimation and optimal operation
Publikationstyp
Conference Paper
Date Issued
2021-05-25
Sprache
English
Author(s)
Volume
2021-May
Start Page
3126
End Page
3131
Article Number
9482814
Citation
Proceedings of the American Control Conference 2021: 3126-3131 (2021)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
ACC
ISSN
07431619
ISBN
9781665441971
The integration of renewables into electrical grids calls for novel control schemes, which usually are model based. Classically, for power systems parameter estimation and optimization-based control are often decoupled, which may lead to increased cost of system operation during the estimation procedures. The present work proposes a method for simultaneously minimizing grid operation cost and estimating line parameters. To this end, we rely on methods from optimal design of experiments. This approach leads to a substantial reduction in cost for optimal estimation and in higher accuracy in the parameters compared with standard combination of optimal power flow and maximum-likelihood estimation. We illustrate the performance of the proposed method on simple benchmark system.
Subjects
Admittance Estimation
Optimal Experiment Design
Optimal Power Flow
Power System Parameter Estimation
DDC Class
333.7: Natural Resources, Energy and Environment
004: Computer Sciences