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International Journal of Advanced Research in Engineering and Applied Sciences
Year : 2015, Volume : 4, Issue : 5
First page : ( 56) Last page : ( 67)
Online ISSN : 2278-6252.

Data extraction for classification and characterization of power quality problems

Kiranmai S. Asha*,***, Dr. Laxmi A. Jaya**

*Assistant Professor, Department of Electrical & Electronics Engineering, Bhoj Reddy Engineering College for Women, Hyd., India

***Research Scholar, UCE, Osmania University, Hyd., India

**Professor, Department of Electrical & Electronics Engineering, JNTUH College of Engineering, Hyderabad, India

Online published on 10 March, 2016.


The importance of power quality is increasing day by day because of the noticeable great damage caused by power quality disturbances like malfunctioning and failure of the equipment of public or industrial facilities. So, in order to improve the power quality, the sources of power quality disturbances should be known before appropriate mitigating action can be taken. To achieve this, the paper presents a detailed classification and characterization of voltage sag, swell, unbalance and interruption problems. For the problem detection, a simple method of RMS voltage calculation over a window of half cycle is used. The RMS voltage samples are obtained and the data extraction process is carried out to get the power quality problem samples out of this huge samples. Then the MATLAB programming is used to classify and characterize the problems. The program outputs are shown for the input of actual RMS voltage samples and the extracted samples.



Characterization, Classification, Data Extraction, Identification, Power quality problems, RMS.


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