Title :
Transient stability improvement with Neuro-Fuzzy control of STATCOM in single-machine system
Author :
Marjanian, A. ; Jafari, E.
Author_Institution :
Dept. of Electr. Eng., Islamic Azad Univ., Dezful, Iran
Abstract :
In this paper, the goal is the improvement of transient condition in a single-machine system with designing of the nonlinear controllers for static Synchronous Compensator (STATCOM). By obtaining the Lyapunov function in presence of compensator in the system, some controllers are designed for it which by satisfying the Lyapunov stability criteria will increase the margin of transient stability and decrease the oscillation in the single machine system. For single machine with infinite bus (SMIB), three control methods of energy function (EFC), Fuzzy controller (FC) and Neuro-Fuzzy controller (NFC) presented and considered the effect of each of the above mentioned control methods of power system stability enhancement. The results of the simulations confirm the Neuro-Fuzzy controller ability in the improvement of the system transient conditions after occurrence of the fault.
Keywords :
Lyapunov methods; fuzzy control; machine control; neurocontrollers; nonlinear control systems; power system transient stability; static VAr compensators; EFC; Lyapunov function; Lyapunov stability; NFC; SMIB; STATCOM; energy function control; neuro-fuzzy control; neuro-fuzzy controller; nonlinear controllers; power system stability enhancement; single machine with infinite bus; static synchronous compensator; transient stability improvement; Automatic voltage control; Equations; Generators; Mathematical model; Power system stability; Stability analysis; Transient analysis; Neuro-fuzzy controller; STATCOM; energy function controller; fuzzy controller; transient stability;
Conference_Titel :
Energy, Automation, and Signal (ICEAS), 2011 International Conference on
Conference_Location :
Bhubaneswar, Odisha
Print_ISBN :
978-1-4673-0137-4
DOI :
10.1109/ICEAS.2011.6147209
