Title :
Application of an artificial neural network to study the transient stability of an alternator connected to infinite bus
Author_Institution :
Dept. of Appl. Phys., Univ. of Calcutta, Kolkata, India
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;
Conference_Titel :
Non Conventional Energy (ICONCE), 2014 1st International Conference on
Conference_Location :
Kalyani
Print_ISBN :
978-1-4799-3339-6
DOI :
10.1109/ICONCE.2014.6808724
