Marine predator algorithm based PD?(1+PI) controller for frequency regulation in multi?microgrid system

Renewable generation uncertainty, dynamic load change, and system parameter variation play a significant role in the performance degradation of non-linear multi-microgrid (MMG) systems. As result, intelligent control becomes need hour for assisting superlative attribute- based consistent electric power. The application marine predator algorithm (MPA)-based cascaded PD-(1+PI) controller Automatic Generation Control (AGC) MMG is novel work. A maiden attempt MPA proposed to optimize parameters using integral time absolute error criterion. To demonstrate its superiority, compared genetic algorithm, differential evolution, grey wolf optimization. then applied conventional PID, PD-PI frequency system. robustness suggested verified over PID by taking step random perturbation integrating renewable sources like solar wind with their uncertain nature. simulation investigated interconnected microgrid carried out MATLAB/SIMULINK environment. Finally, detailed hardware loop experimental results are presented confirm practicality approach.