To Enhance transient stability using Neural Networks in STATCOM and SVC
The modern power system is more complex and it presents serious challenges in perspective of power system stability because of growing demand and restrictions in building new lines. Transient stability is regarded as the main source of system insecurity; hence it has to be maintained for ensuring stable operation of power system in the event of large disturbance and faults. In modern power systems, shunt FACTS devices like, Static VAR Compensator (SVC) and Static Synchronous Compensator (STATCOM) are used as supplementary controllers to improve transient stability. This paper proposes an application of Fuzzy Logic Controller (FLC) to determine the control signal of SVC and STATCOM for damping the rotor angle oscillations and thereby to improve the stability of the power system. The proposed controller is tested on 2-machines 3-bus system. The parameters like rotor angle deviation,
terminal voltage of buses and transmission line active power are observed. The results obtained are compared with that of conventional PI controller and it is proved that the Fuzzy controlled as well as ANN controlled SVC and STATCOM gives better results than SVC and STATCOM with conventional PI controller. The MATLAB/Simulink software is used to verify the effectiveness of each control method.