Title :
Application of fuzzy neuro for generator stator earth fault detection
Author :
Khorashadi-Zadeh, H.
Author_Institution :
Dept. of Electr. Eng., Univ. of Birjand, Iran
Abstract :
In this paper the use of a fuzzy neural net for stator earth fault detection is presented. A generator model is simulated using EMTDC software. Earth faults are simulated between 0.1% to 100% distance points from the generator neutral. The combination of both EMTDC simulation and neural network presented in this paper introduces a new, complementary method that performs better in instances where the interpretation of traditional methods is somewhat dubious.
Keywords :
earthing; fault location; fault simulation; fuzzy neural nets; power system simulation; stators; synchronous generators; EMTDC software; fuzzy neural net; generator model simulation; neural network; stator earth fault detection; Circuit faults; Earth; Fault detection; Power system faults; Power system protection; Power system relaying; Power system simulation; Protective relaying; Stator windings; Voltage;
Conference_Titel :
Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004 7th Seminar on
Print_ISBN :
0-7803-8547-0
DOI :
10.1109/NEUREL.2004.1416554
