A new protection algorithm for synchronous generators using artificial neural networks

Author

Yadaiah, Narri ; Ravi, Nagireddy

Author_Institution

Dept. of Electr. & Electron. Eng., Jawaharlal Nehru Technol. Univ., Hyderabad, India

fYear

2011

fDate

5-8 Dec. 2011

Firstpage

625

Lastpage

629

Abstract

This paper presents a new protection scheme for synchronous generator using an artificial neural network. The proposed scheme is able to discriminate internal and external faults of synchronous generator, consists of feature extraction using eigenvalues and fault classification using artificial neural networks. The performance of algorithm was tested using artificial neural networks and simulation results show the proposed scheme is able to identify and classify all types of faults of synchronous generator. The proposed approach has the ability to detect the generator winding faults which are close to neutral.

Keywords

eigenvalues and eigenfunctions; machine windings; neural nets; pattern classification; power engineering computing; power generation faults; power system protection; synchronous generators; artificial neural networks; eigenvalues; external fault discrimination; fault classification; feature extraction; generator winding fault detection; internal fault discrimination; protection algorithm; synchronous generators; Artificial neural networks; Circuit faults; Fault detection; Feature extraction; Stator windings; Synchronous generators; Synchronous generator; artificial neural networks; external fault; feature extraction; internal fault;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Systems (HIS), 2011 11th International Conference on

Conference_Location

Melacca

Print_ISBN

978-1-4577-2151-9

Type

conf

DOI

10.1109/HIS.2011.6122178

Filename

6122178