Enhancing Power Quality in Microgrids with Hybrid Tuna‐Glowworm Swarm Optimization Strategy for Renewable Energy Sources

Abstract

The technical issues in the microgrids (MG) are predicted and the fluctuation in the MG is controlled precisely by the inclusion of distinct renewable energy sources (RESs) into the MG system. The voltage stability and distortionless harmonic are the two main factors that need to be tackled in the MG system. By solving the above‐mentioned two factors, the overall power quality (PQ) of the MG is enhanced. Multiple pieces of equipment are introduced and developed especially to resolve the issues regarding the load's nonlinearity and the source's uncertainty. Hence, a novel “hybrid tuna‐glowworm swarm optimization (HT‐GWSO)” algorithm is introduced to resolve the uncertainties in the MG and to enhance the PQ in this paperwork. The proposed algorithm is a combination of “glowworm swarm optimization (GWO) with the tuna swarm optimization (TSO)” algorithms. This algorithm is utilized in tuning the parameters of the controllers used in the MG. The reactive power is varied from the active power to enhance the PQ in this proposed scheme. The controller's parameters are optimized so that the variation in power and the error while the function is minimized in the MG system. An expensive simulation is done to prove the superiority of the suggested scheme.