ICTACT Journal on Microelectronics

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Detection And Classification Of Complex Power Quality Disturbances Using Discrete Wavelet Transform And Rule Based Decision Tree


Affiliations
1 Department of Electronics and Communication Engineering, Government Engineering College Jhalawar, India
2 Department of Electronics and Communication Engineering, Government Engineering College Baran, India
     

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This paper presents a method for the detection and classification of complex power quality (PQ) disturbances using discrete wavelet transform (DWT) based ruled decision tree. The power quality disturbances are generated with the help of MATLAB using the mathematical relations as per IEEE Standard-1159. The investigated PQ disturbances include various combinations of voltage sag, voltage swell, momentary interruption, harmonics, oscillatory transient and impulsive transient. These power quality signals are decomposed using discrete wavelet transform with db4 as mother wavelet up to level 4 of decomposition. The detail coefficients and approximation coefficients are used for recognition of complex PQ disturbances. The features extracted from plots of these coefficients are given as input to the rulebased decision tree for classification of complex PQ disturbances. The effectiveness of proposed algorithm has been established by testing 30 data sets of each complex PQ disturbance obtained by varying the parameters

Keywords

Complex Power Quality Disturbance, Discrete Wavelet Transform, Power Quality, Rule-Based Decision Tree
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  • Detection And Classification Of Complex Power Quality Disturbances Using Discrete Wavelet Transform And Rule Based Decision Tree

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Authors

Nitin Kumar Suyan
Department of Electronics and Communication Engineering, Government Engineering College Jhalawar, India
Mahendra Kumar
Department of Electronics and Communication Engineering, Government Engineering College Baran, India
Fateh L. Lohar
Department of Electronics and Communication Engineering, Government Engineering College Jhalawar, India
Deepak Agrawal
Department of Electronics and Communication Engineering, Government Engineering College Jhalawar, India

Abstract


This paper presents a method for the detection and classification of complex power quality (PQ) disturbances using discrete wavelet transform (DWT) based ruled decision tree. The power quality disturbances are generated with the help of MATLAB using the mathematical relations as per IEEE Standard-1159. The investigated PQ disturbances include various combinations of voltage sag, voltage swell, momentary interruption, harmonics, oscillatory transient and impulsive transient. These power quality signals are decomposed using discrete wavelet transform with db4 as mother wavelet up to level 4 of decomposition. The detail coefficients and approximation coefficients are used for recognition of complex PQ disturbances. The features extracted from plots of these coefficients are given as input to the rulebased decision tree for classification of complex PQ disturbances. The effectiveness of proposed algorithm has been established by testing 30 data sets of each complex PQ disturbance obtained by varying the parameters

Keywords


Complex Power Quality Disturbance, Discrete Wavelet Transform, Power Quality, Rule-Based Decision Tree

References