Power System Stability Enhancement by Neuro Fuzzy Logic Based SVC for Multi Machine System
S. Sabna1, D. Prasad2, R. Shivakumar3
1S Sabna, PG Scholar in Department of Electrical and Electronics Engineering, Sona College of Technology, Salem-5, India.
2D Prasad, Working as Assistant Professor in Department of Electrical and Electronics Engineering, Sona College of Technology, Salem-5, India.
3R Shivakumar, Working as Assistant Professor in Department of Electrical and Electronics Engineering, Sona College of Technology, Salem-5, India.
Manuscript received on March 01, 2012. | Revised Manuscript received on March 27, 2012. | Manuscript published on April 30, 2012. | PP: 207-211 | Volume-1 Issue-4, April 2012 | Retrieval Number: D0359041412/2012©BEIESP
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Abstract: This paper presents a hybrid technique to small signal stability enhancement using ANFIS thruster susceptance control of static vary compensator (SVC). Their main objective is to determine the synchronous generator’s ability to maintain stability after the occurrence of a fault or following a major change in the network such as the loss of an important generator or a large load. Static vary compensator is proven the fact that it improves the dynamic stability of power system apart from reactive power compensation; it has multiple role in the operation of power system. The main variable to be controlled in the power system for efficient operation is to mitigating the rotor electro-mechanical low frequency oscillations. Simulations are carried out for multi machine power system for without SVC and with ANFIS SVC. The proposed Neuro fuzzy logic based SVC for multi machine power system provides better damping to power system oscillation.
Keywords: Damping of oscillation, Neuro fuzzy controller (ANFIS), static vary compensator (SVC), thruster susceptance control.