Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 1 of 1
Full-Text Articles in Engineering
Automated Fault Location In A Power System With Distributed Generations Using Radial Basis Function Neural Networks, Hadi Zayandehroodi, Azah Mohamed, Hussain Shareef, Marjan Mohammadjafari
Automated Fault Location In A Power System With Distributed Generations Using Radial Basis Function Neural Networks, Hadi Zayandehroodi, Azah Mohamed, Hussain Shareef, Marjan Mohammadjafari
Dr. Marjan Mohammadjafari
High penetration of Distributed Generation (DG) units will have unfavorable impacts on the traditional fault location methods because the distribution system is no longer radial in nature and is not supplied by a single main power source. This study presents an automated fault location method using Radial Basis Function Neural Network (RBFNN) for a distribution system with DG units. In the proposed method, the fault type is determined first by normalizing the fault currents of the main source. Then to determine the fault location, two RBFNNs have been developed for various fault types. The first RBFNN is used for detraining …