Approximations for optimal experimental design in power system parameter estimation

Authors

X. Du, A. Engelmann, T. Faulwasser, B. Houska

Reference

In Proceedings of the 61st IEEE Conference on Decision and Control,
Cancún, Mexico, pages 5692–5697, December, 2022.

Abstract

This paper is about computationally tractable methods for power system parameter estimation and Optimal Experiment Design (OED). Here, the main motivation is that OED has the potential to significantly increase the accuracy of power system parameter estimates, for example, if only a few batches of data are available. The problem is, however, that solving the exact OED problem for larger power grids turns out to be computationally expensive and, in many cases, even computationally intractable. Therefore, the present paper proposes three numerical approximation techniques, which increase the computational tractability of OED for power systems. These approximation techniques are benchmarked on a 5-bus and a 14-bus case studies.

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Bibtex

@INPROCEEDINGS{XD2022,
author = {Du, X. and Engelmann, A. and Faulwasser T. and B. Houska},
title = {Approximations for optimal experimental design in power system parameter estimation},
booktitle = {In Proceedings of the 61st IEEE Conference on Decision and Control},
pages = {5692–5697},
year = {2022},
}