dc.description.abstract |
The power system is constantly subjected to numerous forms of disruptions, resulting in a loss of
stability. The cause of instability is a large disturbance. The "large disturbance" leads to
electromechanical oscillations in a synchronous generator. For this problem, the Tana Beles
hydropower plant uses AVR to enhance the stability of synchronous generators under steady
state and faulty conditions. However, with the creation of large disturbances, this regulator gives
poor performance due to long settling time and maximum overshoots. In this thesis, power
system transient instability of synchronous generators found in the Tana Beles Hydropower plant
was introduced in steady state and faulty conditions. Which were damped out quickly by using a
fuzzy logic controlled power system stabilizer (FLPSS). FLPSS is implemented in the excitation
systems of synchronous generators to damp electromechanical oscillations of the study under
wide operating conditions. The system performance has been performed in different scenarios
(under normal and faulty conditions with AVR, PID, CPSS, and FLPSS for comparative
analysis). FLPSS reduces settling time and greatly damps electromechanical oscillations of rotor
speed, load angle, electrical torque, and active power of synchronous generators under steady
state and faulty conditions. The thesis deals with the design procedure for a fuzzy logic based
PSS (FLPSS) which improves the transient stability of synchronous generators. The speed
deviation of a synchronous machine and acceleration are chosen as the input signals to the fuzzy
logic controller. Under steady state conditions, FLPSS enhances the settling time of rotor speed
and load angle by 79.2% and 68.75% respectively. Similarly, the overshoots of rotor speed,
active power, electrical torque, and terminal voltage are reduced by 14.3%, 55%, 55%, and 6.5%
respectively. During a fault condition, FLPSS also enhances the settling time of rotor speed, load
angle, active power, and electrical torque by 77.7%, 50%, 88%, and 76.5% respectively.
Similarly, FLPSS reduces the overshoots of generator parameters of rotor speed, load angle, and
terminal voltage by 7.7%, 3.1%, and 14.26% respectively. The comparison was done between
the excitation systems with AVR and FLPSS using MATLAB/Simulink software.
Keywords: CPSS, FLPSS, MATLAB /Simulink, PID controller and Transient Stability |
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