Optimal Experiment Design for AC Power Systems Admittance Estimation
Systems and Control
2020-05-12 v2 Systems and Control
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.
Cite
@article{arxiv.1912.09017,
title = {Optimal Experiment Design for AC Power Systems Admittance Estimation},
author = {Xu Du and Alexander Engelmann and Yuning Jiang and Timm Faulwasser and Boris Houska},
journal= {arXiv preprint arXiv:1912.09017},
year = {2020}
}