This repository contains the MATLAB code and data accompanying the paper, A Tutorial on Identification of Subsynchronous Mode Frequencies in Power Transmission Systems using Parametric and Non-parametric Methods, presented at the 2023 Texas Power and Energy Conference.
The tutorial encompasses two cases: a single mode (unimodal) forced oscillation (case 1), and a multi-modal forced oscillation, labeled as case 2. Each of the *.m files uses a different observable among current, frequency, and voltage. The two different statistical techniques are:
- Non-parametric method: Welch-based power spectral density (PSD) estimation;
- Parametric method: output-based autoregressive (AR) model.
The code in this repository was developed using MATLAB R2021b in Windows. It has been tested in the latest release as of this publication (R2022b).
If you find our work useful, we kindly ask you cite the following paper:
@INPROCEEDINGS{Dorado-Rojas2023-ds,
title = "{A Tutorial on Identification of Subsynchronous Mode Frequencies
in Power Transmission Systems using Parametric and
Non-parametric Methods}",
booktitle = "{2023 Texas Power and Energy Conference}",
author = "Dorado-Rojas, Sergio A and Wang, Zongjie",
month = feb,
year = 2023
}
This repository is licensed under the GNU Affero General Public License (GNU AGPL).
This work was funded in part by the Colombian Ministry of Science, Technology, and Innovation (Minciencias) under grant agreement number 885-2020, and in part by the Eversource Energy Center project entitled A Pathway to Enable Sustainable Modern Power Systems: Optimal System Dispatch.