DocumentCode :
2950699
Title :
Diagnosis of impedance fault in distribution system with distributed generations using radial basis function neural network
Author :
Rezaei, N. ; Javadian, S.A.M. ; Khalesi, N. ; Haghifam, M. -R
Author_Institution :
Dept. of Electr. Eng., Islamic Azad Univ. Tehran South Branch, Tehran, Iran
fYear :
2011
fDate :
14-16 Nov. 2011
Firstpage :
79
Lastpage :
83
Abstract :
In recent years, complexity of fault diagnosis in the advanced distribution networks, mainly due to the increased use of distributed generations and fault with impedance result in proposing of adaptive fault location technique using neural network. Radial basis function neural networks are used for fault diagnosis and fault location. The proposed approach reduces the complexity of the fault location in case of impedance fault. The predicted results prove the effectiveness of the proposed online automatic procedure for fast and accurate fault diagnosis of the system for a wide range of system conditions.
Keywords :
distributed power generation; fault diagnosis; fault location; power distribution faults; power engineering computing; radial basis function networks; adaptive fault location technique; advanced distribution networks; distributed generations; distribution system; impedance fault diagnosis complexity; radial basis function neural network; Biological neural networks; Circuit faults; Fault currents; Fault location; Impedance; Training; Distributed Generation (DG); Fault Location; Protection; Radial Basis Function Neural Network (RBFNN);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Measurements for Future Grids (SMFG), 2011 IEEE International Conference on
Conference_Location :
Bologna
Print_ISBN :
978-1-4577-1313-2
Type :
conf
DOI :
10.1109/SMFG.2011.6125762
Filename :
6125762
Link To Document :
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