Detection And Classification Of Power Quality Disturbances Using Discrete Wavelet Transform And Energy Entropy
Suraj Kumar,  Dr. Tanuj Manglani
At present scenario, most of the devices in the electrical system show non linear characteristics which are responsible for generating disturbances which results in poor power quality. Poor power quality affects the performance of both the load side equipments as well as the power network equipments. Therefore, detection and classification of these disturbances are required distortions so as to provide a good power quality in the power system. For detection of PQ disturbances, discrete wavelet transforms plots up to the fourth level of decomposition of the voltage signal with PQ disturbance. The feature extraction of discrete wavelet transform coefficients are calculated and analyzed for classification of PQ disturbances. The proposed approach was implemented with the MATLAB codes.
Keywords- DWT, energy entropy, PQ disturbances, power quality, detection of faults
Cite this Article
Suraj Kumar,  Dr. Tanuj Manglani,   "Detection And Classification Of Power Quality Disturbances Using Discrete Wavelet Transform And Energy Entropy"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 3, pp.416-420, August 2019, Available at :http://www.ijedr.org/papers/IJEDR1903072.pdf