Optimal experiment design for AC power systems admittance estimation

Authors

  • X. Du, A. Engelmann, Y. Jiang, T. Faulwasser, B. Houska

Reference

  • IFAC-PapersOnLine
    Volume 53, Issue 2, 2020, Pages 13311-13316

Abstract

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 methods, our method computes optimal excitations extracting the maximum information in each estimation step to accelerate convergence. The performance of the proposed method is illustrated on a case study.

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Bibtex

@INPROCEEDINGS{Du2020,
author = {Du, X. and Engelmann, A. and Jiang, Y. and Faulwasser, T. and Houska, B.},
title = {Optimal experiment design for AC power systems admittance estimation},
booktitle = {In Proceedings of the 21st IFAC World Congress, Berlin, Germany},
year = {2020},
pages = {13311–13316},
volume = {53},
number = {2}
}