Online power system parameter estimation and optimal operation
Systems and Control
2021-03-22 v2 Systems and Control
Abstract
The integration of renewables into electrical grids calls for optimization-based control schemes requiring reliable grid models. Classically, parameter estimation and optimization-based control is often decoupled, which leads to high system operation cost in the estimation procedure. The present work proposes a method for simultaneously minimizing grid operation cost and optimally estimating line parameters based on methods for the optimal design of experiments. This method leads to a substantial reduction in cost for optimal estimation and in higher accuracy in the parameters compared with standard Optimal Power Flow and maximum-likelihood estimation. We illustrate the performance of the proposed method on a benchmark system.
Cite
@article{arxiv.2011.03988,
title = {Online power system parameter estimation and optimal operation},
author = {Xu Du and Alexander Engelmann and Timm Faulwasser and Boris Houska},
journal= {arXiv preprint arXiv:2011.03988},
year = {2021}
}