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Differential Protection of Generator by Using Neural Network, Fuzzy Neural and Fuzzy Neural Petri Net
Dr. Abduladhem A. Ali, Dr. Abaas H. Abaas, Ahmed Thamer Radhi
Pages - 14 - 27     |    Revised - 15-03-2012     |    Published - 16-04-2012
Volume - 3   Issue - 1    |    Publication Date - February 2012  Table of Contents
Differential protection, generator, internal faults
This paper describes Artificial Intelligences techniques for detecting internal faults in a generator. Three techniques uses Neural Net (NN), Fuzzy Neural (FNN) and Fuzzy Neural Petri Net (FNPN) to implements differential protection of generator. MATLAB toolbox has been used for simulations and generation of fault data to training the programs for different faults cases and to implement the relay. Result of different cases studies are presented and compares among three implements techniques.
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Professor Dr. Abduladhem A. Ali
- Iraq
Assistant Professor Dr. Abaas H. Abaas
- Iraq
Mr. Ahmed Thamer Radhi
institute - Iraq