Xu Du, Alexander Engelmann, Timm Faulwasser, Boris Houska.
In Proceedings of the 61th IEEE Conference on Decision and Control, Cancun, Mexico, December, 2022.
This paper is about computationally tractable methods for power system parameter estimation and Optimal Experiment Design (OED). The main motivation of OED is to increase the accuracy of power system parameter estimates for a given number of batches. One issue in OED, however, is that solving the OED problem for larger power grids turns out to be computationally expensive and, in many cases, 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.
@inproceedings{Du2019,
title={Approximations for optimal experimental design in power system parameter estimation},
author={Du, Xu and Engelmann, Alexander and Faulwasser, Timm and Houska, Boris},
booktitle={2022 IEEE 61st Conference on Decision and Control (CDC)},
pages={5692–5697},
year={2022},
organization={IEEE}
}