Real-Time Detection of Power Quality Disturbance Using Fast Fourier Transform and Adaptive Neuro-Fuzzy Inference System

Real-Time Detection of Power Quality Disturbance Using Fast Fourier Transform and Adaptive Neuro-Fuzzy Inference System

Power quality disturbances cause equipment damage or financial losses. Therefore, the electric power system needs to identify and distinguish any power quality disturbances to reduce problems. This paper proposes hybrid methods combining FFT and ANFIS algorithm for detection of power quality disturb...

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Bibliographic Details
Main Authors: Ahmad Alvi Syahrin, Dimas Okky Anggriawan, Eka Prasetyono, Epyk Sunarno, Endro Wahjono, Indhana Sudiharto, Suhariningsih Suhariningsih
Format: Article
Language:English
Published: Universitas Syiah Kuala 2024-03-01
Series:Jurnal Rekayasa Elektrika
Subjects:
anfis
detection
fft
power quality disturbance
rms variations
Online Access:https://jurnal.usk.ac.id/JRE/article/view/33695
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https://jurnal.usk.ac.id/JRE/article/view/33695

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