A Study of Signal Processing Techniques in Power Quality disturbance detection

The power quality of the power system is disturbed due to many nonlinear connected loads, switching of the power electronic devices, and uncertainties of the faults. Due to disturbances of power quality, the value of rated voltage and current is not supplied to the daily used equipment. So when the power quality is disturbed, the life and efficiency of the equipment used by consumers decrease. If the power quality of the system is good, the system will be more reliable, losses will be minimized, and overall efficiency will increase. This article studies various signal processing techniques that use time-domain, frequency-domain, and time-frequency domain methods for the detection of power quality issues. Furthermore, this study discussed advanced techniques like WT, STFT, etc. Next, this article discussed a comparative analysis of the various signal processing techniques.

Authors

Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/ihcsp63227.2024.10960026
Citations
2
Primary Topic
Power Quality and Harmonics
Type
article
Field-Weighted Citation Impact
0.42
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A Study of Signal Processing Techniques in Power Quality disturbance detection

Anula Khare, Anuprita Mishra, Chitra Thakur, Nagendra Singh et al.
2 citations
Power Quality and Harmonics
0.42
article

A Study of Signal Processing Techniques in Power Quality disturbance detection

Anula Khare, Anuprita Mishra, Chitra Thakur, Nagendra Singh, Sweta Lall, Shiva Ram Krishna
article en
2 citations

Abstract

The power quality of the power system is disturbed due to many nonlinear connected loads, switching of the power electronic devices, and uncertainties of the faults. Due to disturbances of power quality, the value of rated voltage and current is not supplied to the daily used equipment. So when the power quality is disturbed, the life and efficiency of the equipment used by consumers decrease. If the power quality of the system is good, the system will be more reliable, losses will be minimized, and overall efficiency will increase. This article studies various signal processing techniques that use time-domain, frequency-domain, and time-frequency domain methods for the detection of power quality issues. Furthermore, this study discussed advanced techniques like WT, STFT, etc. Next, this article discussed a comparative analysis of the various signal processing techniques.

Openalex Percentile: Top 35%
Power Quality and Harmonics
0.42
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A Study of Signal Processing Techniques in Power Quality disturbance detection — Anula Khare, Anuprita Mishra, et al. · (2024) | TGRS Research Map | TGRS