Comparative analysis of the MFO tuned PID controller based autonomous power system

The research deals with the different optimization techniques employed to develop the various parameters which are adjustable for an autonomous energy system. The terminal voltage of the generator has been controlled by using classical proportional-derivative-integral (PID) controller whose parameters have been tuned by different optimization techniques such as moth flame optimization (MFO), genetic algorithm (GA), seeker optimization algorithm (SOA) and whale optimization technique (WOA). Comparative analysis is performed in this research task by comparing all the techniques implemented for the optimization of PID controller installed in the system.