Neural network for Power Quality disturbances recognition and classification using S-transform
Author(s):
Yogita Pralhad Bochare, Dr. M. A. Beg, P. W. Choudhary
ISSN:
2349-6002
Cite This Article:
Neural network for Power Quality disturbances recognition and classification using S-transformInternational Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 6 ,Issue 7 ,Page(s):174-180 ,December 2019 ,Available :IJIRT148876_PAPER.pdf
Keywords:
Power quality disturbance, IEEE14 bus system, S-transform, Artificial Neural Network (ANN), classification.
Abstract
Power Quality has become a main problem in the electric power system. The wide use of non-linear loads and other electronic equipment’s can causes power disturbances which then lead to poor power quality. Poor power quality is caused by power line disturbances, instability, and short lifetime resulting in failure of End user equipment. To improve the power quality, it is essential to detect, localize and classify power quality disturbances accurately. In this paper, IEEE14 bus system is simulated in Power System Computer Aided Design (PSCAD) software. This paper mainly detects and classify Power quality disturbances such as Voltage sag and Voltage swell. S-transform is used to extract distinguishing features and Artificial Neural Network (ANN) is used as a classifier. Power quality disturbances are localized by S-transform in time and frequency domain.
Article Details
Unique Paper ID: 148876

Publication Volume & Issue: Volume 6, Issue 7

Page(s): 174 - 180
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Last Date 25 January 2020


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