Article’s

Oscillations caused by frequency in lower values has potential to cause great Damage to Stability of transient type in the electrical power system grids. We need to use power system stabilizers i.e. PSS to make sure these oscillations doesn’t last long by injecting damped signals inside generator of excited loop. In the past, researchers tried to use linear based models for tuning of PSS based but when we actually apply this into the real world application it fails to deliver what we require. Therefore in this Paper work, we used matlab software to create simulation based framework. We used Global Optimal Toolbox inside MATLAB for genetic algorithm to find the best possible PSS gain & lead lag based time constant represented by T for single machine based infinite bus system. we have designed an new method of terminal absolute error which is better than olde metrices. This method measures leftover speed and deviation of angle every 5 seconds which relates to grid code based recovery constraint. We build 3 models on Simulink to test our genetic algorithm approach including without PSS, With classic PSS and With Genetic Algorithmically optimized WithPSS model. This GA found the optimal value to be around 0.0616563 after completing 18 generations. The precise parameters wee found to be K= 9.313778 & T = 0.030270s. Under the settling time of 4.5s,this GA Based PSS overcomes the problem of oscillation with much less overshoot when comparing it to the benchmark results. Index Terms—Genetic Algorithm, Power System Stabilizer, Transient Stability, MATLAB/Simulink, Terminal Absolute Error, SMIB, Heuristic Optimization, Lead-Lag Compensator