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Research Article |

Multiple Power Quality Issues Reorganization Analysis and Feature Extraction with the Discrete Wavelet Transform

Author(s): Rajendra Singh* and Neeraj Tiwari

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Special Issue on BDF

Publisher : FOREX Publication

Published : 28 March 2024

e-ISSN : 2347-470X

Page(s) : 01-05

DOI: https://doi.org/10.37391/ijeer.12bdf01

Abstract

Now a day’s utilization of the power is very important concept in term of the quality. Utilization of the power is very effective as compared to the generation, at the end point of the different issues are occurs when the power is uses these issues are affect the quality of power so in this paper present about the application of the wavelet for determination of the different power quality issues in the system. In this series first issues determination play very important role. For the determination of the quality issue different soft computational techniques can be apply. In this paper Daubechies mother wavelet utilize in Mat Lab environment of the soft computation. Wavelet technique is applied as a prototype function for determination of the discrete signal and then with the help of this function reconstruction of the discrete signal achieved.

Keywords: Reorganization, Power Quality Issues, Discrete Wavelet Transform, Voltage sag.




Rajendra Singh*, Research Scholar, Department of Electrical Engineering, School of Engineering and Technology, Poornima University, Jaipur, India; Email: rajendra.singh@poornima.org

Neeraj Tiwari, Professor, Department of Electrical Engineering, School of Engineering and Technology, Poornima University, Jaipur, India; Email: neerajtiwari.1407@gmail.com

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Rajendra Singh and Neeraj Tiwari (2024), Multiple Power Quality Issues Reorganization Analysis and Feature Extraction with the Discrete Wavelet Transform. IJEER 12(bdf), 01-05. DOI: 10.37391/ijeer.12bdf01.