# Optimal Experiment Design for AC Power Systems Admittance Estimation

arXiv: https://arxiv.org/abs/1912.09017 · HTML: https://mlsanity.com/paper/1912.09017/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Dec 2019.

## Built on by (most cited first, 1 of 1)

- [Bayesian Error-in-Variables Models for the Identification of Power Networks](https://mlsanity.com/paper/2107.04480/) (2021)

## Abstract (arXiv)

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.
