Enhancing PI controller performance in grid-connected hybrid power systems

Abstract

The  optimal  operation  of  a  microgrid  was  buildup  of  both  uncontrollable (solar, wind) and controllable (batteries, diesel generators) electrical energy sources are enclosed in this paper. By replacing controllers, the variations in wavering  power  supply  caused  by  load  fluctuations  are  managed.  The objective  of  the  research  paper  is  to  optimize  these  controller  gain  settings for effective use of electrical energy. In this paper integral time square error principle  is  combined  along  with  the  Cuckoo search  algorithm (CSA)  and particle   swarm   algorithm   (PSA)to   obtain   the   accurate,   precise   and appropriate   results.   It   enhances   the   microgrid's   steady-state   sensitive responsiveness in comparison to trial-and-error techniques, assuring a stable supply of electricity to the load.