Circular Trajectory Approach for Online Sinusoidal Signal Distortion Monitoring and Visualization

Haoyuan Sun; Fangxing Li; Christopher Sticht; Srijib Mukherjee

doi:10.1109/TSG.2022.3156364

Circular Trajectory Approach for Online Sinusoidal Signal Distortion Monitoring and Visualization

Haoyuan Sun, Fangxing Li, Christopher Sticht, Srijib Mukherjee

Power Systems Resilience

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

The increasing complexity and uncertainties of modern power systems are placing greater demands on signal monitoring techniques. This letter proposes the Circular Trajectory Approach (CTA) for online sinusoidal signal distortion monitoring and visualization. CTA can detect distortions of a sinusoidal signal. Compared with existing waveform anomaly detection techniques, CTA is faster in detection and less computation intensive. It thus supports edge devices and online applications. CTA also offers a new means of sinusoidal signal distortion visualization. It can reveal the distorted sections in a sinusoidal cycle and clearly display the distortions. The proposed approach is tested on real data from an open source EPRI dataset.

Original language	English
Pages (from-to)	3315-3318
Number of pages	4
Journal	IEEE Transactions on Smart Grid
Volume	13
Issue number	4
DOIs	https://doi.org/10.1109/TSG.2022.3156364
State	Published - Jul 1 2022

Keywords

Circular trajectory approach (CTA)
distortion monitoring
distortion visualization
sinusoidal signal

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10.1109/TSG.2022.3156364

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abstract = "The increasing complexity and uncertainties of modern power systems are placing greater demands on signal monitoring techniques. This letter proposes the Circular Trajectory Approach (CTA) for online sinusoidal signal distortion monitoring and visualization. CTA can detect distortions of a sinusoidal signal. Compared with existing waveform anomaly detection techniques, CTA is faster in detection and less computation intensive. It thus supports edge devices and online applications. CTA also offers a new means of sinusoidal signal distortion visualization. It can reveal the distorted sections in a sinusoidal cycle and clearly display the distortions. The proposed approach is tested on real data from an open source EPRI dataset.",

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AB - The increasing complexity and uncertainties of modern power systems are placing greater demands on signal monitoring techniques. This letter proposes the Circular Trajectory Approach (CTA) for online sinusoidal signal distortion monitoring and visualization. CTA can detect distortions of a sinusoidal signal. Compared with existing waveform anomaly detection techniques, CTA is faster in detection and less computation intensive. It thus supports edge devices and online applications. CTA also offers a new means of sinusoidal signal distortion visualization. It can reveal the distorted sections in a sinusoidal cycle and clearly display the distortions. The proposed approach is tested on real data from an open source EPRI dataset.

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Circular Trajectory Approach for Online Sinusoidal Signal Distortion Monitoring and Visualization

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Keywords

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