Approximations for Optimal Experimental Design in Power System Parameter Estimation
Systems and Control
2022-09-19 v2 Systems and Control
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 bench-marked on a 5-bus and a 14-bus case studies.
Cite
@article{arxiv.2203.14011,
title = {Approximations for Optimal Experimental Design in Power System Parameter Estimation},
author = {Xu Du and Alexander Engelmann and Timm Faulwasser and Boris Houska},
journal= {arXiv preprint arXiv:2203.14011},
year = {2022}
}