Flicker Source Detection Methods Based on IEC 61000-4-15 and Signal Processing Techniques – A Review | Zendy

Murat Silsüpür | Zendy; Belgin Emre Türkay | Zendy

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Flicker Source Detection Methods Based on IEC 61000-4-15 and Signal Processing Techniques – A Review

Author(s) -

Murat Silsüpür,

Belgin Emre Türkay

Publication year - 2015

Publication title -

balkan journal of electrical and computer engineering

Language(s) - English

Resource type - Journals

ISSN - 2147-284X

DOI - 10.17694/bajece.83624

Subject(s) - flicker , wavelet transform , fast fourier transform , computer science , electronic engineering , power quality , signal (programming language) , signal processing , wavelet , s transform , power (physics) , engineering , artificial intelligence , voltage , electrical engineering , discrete wavelet transform , digital signal processing , algorithm , computer graphics (images) , physics , programming language , quantum mechanics

Flicker is one of the major power quality event. The effect of flicker disturbance has been seen in the power distribution networks nowadays. Voltage variations so called flicker mainly brings negative effects human eye, but also it brings some malfunctions and misoperations to the sensitive electrical equipments. In order to provide proper corrective measures for flicker, the first step is precisely detection of flicker source. Therefore, this paper gives a review of flicker source detection methods based on IEC 61000-4-15 flickermeter and signal processing methods like Fast Fourier Transform (FFT), Wavelet Transform (WT) and Hilbert-Huang Transform.

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