Unsupervised Clustering for Fault Analysis in High-Voltage Power Systems Using Voltage and Current Signals

Oelhaf J, Kordowich G, Maier A, Jäger J, Bayer S (2025)

Publication Language: English

Publication Status: Submitted

Publication Type: Conference contribution, Conference Contribution

Future Publication Type: Conference contribution

Publication year: 2025

Publisher: arXiv

Series: Georgia Tech Fault and Disturbance Analysis Conference Series

Conference Proceedings Title: Fault and Disturbance Analysis Conference 2025

Event location: Atlanta, GA

DOI: 10.48550/arXiv.2505.17763

Abstract

The widespread use of sensors in modern power grids has led to the accumulation of large amounts of voltage and current waveform data, especially during fault events. However, the lack of labeled datasets poses a significant challenge for fault classification and analysis. This paper explores the application of unsupervised clustering techniques for fault diagnosis in high-voltage power systems. A dataset provided by the Reseau de Transport d'Electricite (RTE) is analyzed, with frequency domain features extracted using the Fast Fourier Transform (FFT). The K-Means algorithm is then applied to identify underlying patterns in the data, enabling automated fault categorization without the need for labeled training samples. The resulting clusters are evaluated in collaboration with power system experts to assess their alignment with real-world fault characteristics. The results demonstrate the potential of unsupervised learning for scalable and data-driven fault analysis, providing a robust approach to detecting and classifying power system faults with minimal prior assumptions.

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How to cite

APA:

Oelhaf, J., Kordowich, G., Maier, A., Jäger, J., & Bayer, S. (2025). Unsupervised Clustering for Fault Analysis in High-Voltage Power Systems Using Voltage and Current Signals. In Fault and Disturbance Analysis Conference 2025. Atlanta, GA, US: arXiv.

MLA:

Oelhaf, Julian, et al. "Unsupervised Clustering for Fault Analysis in High-Voltage Power Systems Using Voltage and Current Signals." Proceedings of the Fault and Disturbance Analysis Conference, Atlanta, GA arXiv, 2025.

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