DocumentCode :
2713447
Title :
Neural network controller for Static Synchronous Series Compensator (SSSC) in transient stability analysis
Author :
Padma, S. ; Rajaram, M. ; Lakshmipathi, R. ; Madhubalan, S.
Author_Institution :
Electr. & Electron. Eng. Dept., Anna Univ., Salem, India
fYear :
2011
fDate :
28-30 Jan. 2011
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a neural network controller for multi-level inverter based Static Synchronous Series Compensator (SSSC) for a multi-machine power system. The neural network controller is designed using back propagation network algorithm. Back Propagation algorithm is employed to update weights for the design of the proposed controller. The proposed neural network controller is capable of providing good dynamic performance compared to conventional Proportional - Integral (PI) controller. The simulation of neural network controller with a sample three area power system for various operating conditions is implemented in Matlab/Simulink platform.
Keywords :
backpropagation; control system synthesis; invertors; neurocontrollers; power system transient stability; static VAr compensators; Matlab-Simulink platform; PI controller; backpropagation network algorithm; multilevel inverter; multimachine power system; neural network controller; proportional integral controller; static synchronous series compensator; transient stability analysis; Artificial neural networks; Inverters; Power system dynamics; Power transmission lines; Reactive power; Voltage control; Back-propagation; Multi-level Inverter; Multi-machine system; PI control; SSSC; neural network controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics (IICPE), 2010 India International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4244-7883-5
Type :
conf
DOI :
10.1109/IICPE.2011.5728066
Filename :
5728066
Link To Document :
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