Xu Du, Alexander Engelmann,Timm Faulwasser, Boris Houska.
In Proceedings of American Control Conference, pages 3126 - 3131, New Orleans, USA, 2021.
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.
@INPROCEEDINGS{Du2021,
author = {Du, X. and Engelmann, A. and Faulwasser, T. and Houska, B.},
title = {Online power system parameter estimation and optimal operation},
booktitle = {In Proceedings of the American Control Conference, New Orleans, USA},
year = {2021},
pages = {3126-3131},
}