Identification of Power Quality Disturbances Based on Fast Fourier Transform and Artificial Neural Network

Identification of Power Quality Disturbances Based on Fast Fourier Transform and Artificial Neural Network

This paper presents the proposed algorithms for the identification of Short Duration RMS Variations and Long Duration RMS Variations combined with harmonic. The proposed algorithms are Fast Fourier Transform (FFT) and Artificial Neural Network (ANN). The Algorithms identify nine types of Power Quali...

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Bibliographic Details
Main Authors: Dimas Okky Anggriawan, Endro Wahjono, Indhana Sudiharto, Anang Budikarso
Format: Article
Language:English
Published: Universitas Syiah Kuala 2023-03-01
Series:Jurnal Rekayasa Elektrika
Subjects:
power quality disturbances, short duration rms variations, long duration rms variations, fast fourier transform, artificial neural network
Online Access:https://jurnal.usk.ac.id/JRE/article/view/27120

Internet

https://jurnal.usk.ac.id/JRE/article/view/27120

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