Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/43040
Title: Comparison of Signal Processing Techniques for Power Quality Disturbances
Authors: Hariramakrishnan, P
Sendilkumar, S
Keywords: Power Quality;Voltage Sag;Voltage Swell;Wavelet Transform;Mathematical Morphology Transform;Parseval's Theorem
Issue Date: Nov-2017
Publisher: NISCAIR-CSIR, India
Abstract: This paper presents the comparison of the signal processing techniques for detecting the power quality disturbances using wavelet transform and Mathematical Morphology Transform (MMT). Different power system events such as voltage sag and voltage swell are simulated and processed to the signal processing techniques, thereby generating wavelet coefficients from wavelet transform for db5 mother wavelet, and by using Structural Element (SE) from the MMT. The power system events are classified based on the value of energy and standard deviation for the samples of power system events. This paper also deals with the merits and demerits of the signal processing techniques. The classified output showed that the MMT had more compatibility for identifying the events than the wavelet transform.
Page(s): 685-689
URI: http://nopr.niscair.res.in/handle/123456789/43040
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.76(11) [November 2017]

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