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
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