Design & Analysis of Grey Wolf Optimization Algorithm Based Optimal Tuning of PID Structured TCSC Controller

Many problems related to instability are faced by power system which crates huge oscillations and make a system unstable. Such problems can easily overcome by a good damping controller. To find out the solutions of stability problems many methods including analytical methods or the numerical-based have been applied in many ways to obtain extreme values. And now these methods are developed into the more advanced form of themselves known as optimization techniques. To solve complex engineering design problems and real application, GWO is one of the more suitable optimization techniques. Applications of GWO algorithm are investigated in this paper to tune the parameters of proportional integral derivative-structured TCSC-based controller to damp out the power system oscillations and improves settling time subjected to various loading conditions. Dynamic performance of proposed controller is analyzed for SMIB power system using MATLAB/Simulink. An obtained simulation result shows the performance of GWO-tuned PID-structured Thyristor Controlled Series Capacitor-based controller and compare with previously published non-dominated sorting genetic algorithm-II (NSGA-II) and cuckoo search algorithm (CSA) for the same power system.