Classification of Power Quality Disturbances using Wavelet-Transform & Fuzzy Base Expert System |
Author(s): |
| Jagdale Alaap Someshwar , Ahmedabad Institute of Technology; Urvish Mewada, Ahmedabad Institute of Technology; Sanjiv Shakya, Ahmedabad Institute of Technology |
Keywords: |
| Power Quality, Wavelet Transform, Fuzzy Classifier |
Abstract |
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A system for power quality (PQ) disturbance (event) analysis is proposed using wavelet feature (WF) based fuzzy classification method. Wavelet transform (WLT) has been proven to be an effective tool for extracting inherent features through time- frequency analysis of these events. In this work WLT is used for detection and/or localization of PQ events and to decompose the PQ event signals for extracting unique features. These WF are fed into fuzzy classifier for making decision regarding the type of events. Varieties of PQ events which include voltage sag, swell, momentary interruption, flicker, oscillatory transient and harmonics are considered to test the performance of proposed approach. |
Other Details |
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Paper ID: IJSRDV5I120261 Published in: Volume : 5, Issue : 12 Publication Date: 01/03/2018 Page(s): 357-359 |
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