A Novel Methodology for Power Quality Disturbances Detection and Classification in Industrial Facilities

Solis-Munoz, F J; Elvira-Ortiz, D A; Jaen-Cuellar, A Y; Romero-Troncoso, R J; Osornio-Rios, R A

Abstract

The industrial facilities inject noise to the power line. Concerning this issue, researchers are focusing their effort on developing new techniques for analyzing the power quality of the power net. This work presents a novel methodology for power quality disturbances detection and classification based on the Harris hawks optimization algorithm and discrete wavelet transforms decomposition of the signal.


Keyword(s)

Classification; Discrete wavelet transform; Harris hawks optimization; Optimization; Power quality analysis

Full Text: PDF (downloaded 862 times)

Refbacks

  • There are currently no refbacks.
This abstract viewed 1423 times