Comparison Of Power Quality Disturbances Classification Based On Neural Network
Journal: International Journal of Scientific & Technology Research (Vol.4, No. 7)Publication Date: 2015-07-15
Authors : Nway Nway Kyaw Win; Theingi Zin; Hla Myo Tun;
Page : 97-103
Keywords : Keywords Power quality disturbances; wavelet transform; energy distribution; probabilistic neural network; multilayer feed forward neural network;
Abstract
Abstract Power quality disturbances PQDs result serious problems in the reliability safety and economy of power system network. In order to improve electric power quality events the detection and classification of PQDs must be made type of transient fault. Software analysis of wavelet transform with multiresolution analysis MRA algorithm and feed forward neural network probabilistic and multilayer feed forward neural network based methodology for automatic classification of eight types of PQ signals flicker harmonics sag swell impulse fluctuation notch and oscillatory will be presented. The wavelet family Db4 is chosen in this system to calculate the values of detailed energy distributions as input features for classification because it can perform well in detecting and localizing various types of PQ disturbances. This technique classifies the types of PQDs problem sevents.The classifiers classify and identify the disturbance type according to the energy distribution. The results show that the PNN can analyze different power disturbance types efficiently. Therefore it can be seen that PNN has better classification accuracy than MLFF.
Other Latest Articles
- Design And Implementation Of Smart Living Room Wireless Control For Safety Purpose
- Students Attendance Management System Based On RFID And Fingerprint Reader
- Implementation Of Automatic Wiper Speed Control And Headlight Modes Control Systems Using Fuzzy Logic
- A New Optimization Framework To Solve The Optimal Feeder Reconfiguration And Capacitor Placement Problems
- Influence Of Demographic Factors N Use Of Online Public Access Catalogue OPAC By Undergraduates In Selected University Libraries In Southern Nigeria
Last modified: 2015-11-13 18:31:34