شماره ركورد كنفرانس :
1147
عنوان مقاله :
Contribution to Distribution System Automation for Diagnosis of Power Quality Disturbances Using Wavelet Transform And RBF Networks
عنوان به زبان ديگر :
Contribution to Distribution System Automation for Diagnosis of Power Quality Disturbances Using Wavelet Transform And RBF Networks
پديدآورندگان :
Jafarabadi S. Esmaeili نويسنده Department of Electrical Engineering, Amirkabir University of Technology , Rastegar H نويسنده Department of Electrical Engineering, Amirkabir University of Technology
كليدواژه :
Distribution system , Classification , Radial Basis Function Network , Power quality
عنوان كنفرانس :
نهمين كنفرانس شبكه هاي توزيع نيروي برق
چكيده فارسي :
Abstract: in this paper a new approach for detection and classification of wide variety range (15 types) o f
power quality violation based on IEEE 1159 standard is presented. For this purpose wavelet multiresolution
signal analysis is used to de-noise and then decompose the signal of power quality event to extract its useful
information. After this an optimal vector of computed features is selected and adopted in learning radial basis
function (RBF) network classifier. This vector represents a distinctive property of studied power quality events
with minimum amount of needed training data. RBF structure effectively reduces training time of the network.
The proposed classifier has significantly improved automatically diagnosis efficiency of power quality
disturbances in distribution system. Simulation results with low error rate confirm this capability.
شماره مدرك كنفرانس :
4460811
