Loading...

Please wait while we retrieve your documents

ARCHIVES

Original Article

Intelligent Classification of Power Quality Disturbances Using Fuzzy Logic

Majumder Rikta1 Datta Subrata2 Chatterjee Satabdi3

1 2 UG Students, Department of Electrical and Electronics Engineering, Kanad Institute of Engineering and Management, West Bengal, India. 3 Professor, Department of Electrical and Electronics Engineering, Kanad Institute of Engineering and Management, West Bengal, India.

Published Online: September-December 2024

Pages: 01-04

Cite this article

No Doi

Abstract

A clever crossover strategy for electrical organization PQ bends Acknowledgment and arrangement utilizing LMS and FES with and without PSO coach. Acknowledgment and arrangement of voltage and flow twists in an electrical network is a basic task in power frameworks control and security. The possibility of LMS channel aggregately with DWT is used to appraise significant highlights, for example, size and slant from the deliberate voltage or current signs. The DWT is used to empower LMS channel to bear the cost of a fair execution; the deliberate voltage or current sign is shipped off the DWT to find the clamor present in it and its fluctuation. The Commotion and its difference are then passed altogether with the deliberate sign to the least mean square channel. These two highlights are treated as the fluffy contributions to the master framework that utilizes a couple of norms on the fluffy contributions to recognize the Class in which the deliberate sign has a spot. In this review, an original FES based on PSO is introduced.

References

  • 1. Bouhali R, Tadjine K, Bendjama H, Saadi MC (2018) Fault diagnosis of bladed disc using wavelet transform and ensemble empirical mode

  • decomposition. Aust J Mech Eng 16(2):1–11

  • 2. Dehghani MJ (2009) Comparison of S-transform and wavelet transform in power quality analysis. Int J Electr Comput Eng 3(2):395–398

  • 3. Hossain E, Rida M, Sanjeevai kumar P, Salim AY, Khan I (2018) Analysis and mitigation of power quality issues in distributed generation

  • systems using custom power devices. IEEE Access 6:16816–16833

  • 4. Manikandan MS, Samantaray SR, Kamwa I (2014) Detection and classification of power quality disturbances using sparse signal

  • decomposition on hybrid dictionaries. IEEE Trans Instrum Meas 64:27–38

  • 5. Ray P, Budumuru GK, Mohanty BK (2018) A comprehensive review on soft computing and signal processing techniques in feature extraction

  • and classification of power quality problems. J Renew Sustain Energy 10(2):025102

Citations

Majumder Rikta, Datta Subrata, Chatterjee Satabdi, “Intelligent Classification of Power Quality Disturbances Using Fuzzy Logic”, Indian Journal of Electrical and Electronics Engineering, Volume 01, Issue 03, September-December 2024, PP: 01-04

Article Metrics

324
Views
0
Citations
PlumX Metrics PlumX Metrics
Dimension Dimension

Licensing

© 2026 The Author(s). Published by Fifth Dimension Research Publication.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.