Paper
10 November 2022 Power quality disturbance detection method based on modified S-transform
Shuyi Li, Mengda Li, Lijiao Li, Zhiquan Li
Author Affiliations +
Proceedings Volume 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022); 1230120 (2022) https://doi.org/10.1117/12.2644569
Event: 6th International Conference on Mechatronics and Intelligent Robotics, 2022, Kunming, China
Abstract
All kinds of distributed devices and intelligent devices are connected to the power system, which makes the power system more and more sensitive to the fluctuation of power, which leads to the identification and processing of power quality disturbance (PDQ) becoming more and more important. Aiming at the problem of composite disturbance classification and identification with multiple single power quality disturbances, a composite power quality disturbance identification method based on improved S-transformation is proposed in this paper 1. First, for higher time-frequency resolution, an improved S-transform with new window width adjustment coefficients is introduced. Then use S transform and wavelet transform to extract the features of disturbance signal, and compare the effect of three methods on feature extraction. Finally, the simulation results show that the method can effectively classify the interfering signals, and the energy concentration and resolution are greatly improved.
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Shuyi Li, Mengda Li, Lijiao Li, and Zhiquan Li "Power quality disturbance detection method based on modified S-transform", Proc. SPIE 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022), 1230120 (10 November 2022); https://doi.org/10.1117/12.2644569
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KEYWORDS
Fourier transforms

Signal detection

Time-frequency analysis

Feature extraction

Signal processing

Wavelet transforms

Composites

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