DocumentCode
135672
Title
Application of an artificial neural network to study the transient stability of an alternator connected to infinite bus
Author
Mandal, P.
Author_Institution
Dept. of Appl. Phys., Univ. of Calcutta, Kolkata, India
fYear
2014
fDate
16-17 Jan. 2014
Firstpage
224
Lastpage
227
Abstract
This paper uses the neural network theory to study the transient stability. The MATLAB simulink model of an alternator is considered to be connected to an infinite bus. The transient stability of this alternator is studied after a phase fault. The relative rotor angle is taken as the measuring parameter. A neural network based approach is applied to study the transient stability of the same system. This approach gives expected results.
Keywords
alternators; fault diagnosis; mathematics computing; neural nets; power engineering computing; power system analysis computing; power system transient stability; ANN; MATLAB Simulink model; alternator; artificial neural network; infinite bus; measuring parameter; phase fault; power system; relative rotor angle; transient stability; Alternators; Analytical models; Rotors; Stability analysis; Torque; Training; neural network; power system stability; training of neural network; transient stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Non Conventional Energy (ICONCE), 2014 1st International Conference on
Conference_Location
Kalyani
Print_ISBN
978-1-4799-3339-6
Type
conf
DOI
10.1109/ICONCE.2014.6808724
Filename
6808724
Link To Document