This paper offers a systematic procedure for modelling and simulating a teaching-learning-based optimization (TLBO) technique that exercised with styling power system stabilizer (PSS) and UPFC-controller for 6-bus test system. TLBO is used to find an effective and powerful solution for power system stabilizers (PSS) and the power oscillation damping (POD) controller in power systems. The results show the fast damping oscillations and rapidly reaching the steady state with TLBO compared to other methods such as PI-POD and UPFC individually. The parameters of traditional PI are adjusted using try and error method.
Maintaining network synchronization is important to customer service. Low fluctuations cause voltage instability, non-synchronization in the power system or the problems in the electrical system disturbances, harmonics current and voltages inflation and contraction voltage. Proper tunning of the parameters of stabilizer is prime for validation of stabilizer. To overcome instability issues and get reinforcement found a lot of the techniques are developed to overcome instability problems and improve performance of power system. Genetic algorithm was applied to optimize parameters and suppress oscillation. The simulation of the robust composite capacitance system of an infinite single-machine bus was studied using MATLAB was used for optimization purpose. The critical time is an indication of the maximum possible time during which the error can pass in the system to obtain stability through the simulation. The effectiveness improvement has been shown in the system.
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