Optimal Day-Ahead Dispatch in Isolated AC/DC Microgrids Using Hunger Game Search Algorithm

This paper provides optimal day-ahead dispatch for multi-zone isolated AC/DC microgrids (MGs). The proposed approach aims to reduce the daily operational costs and customer power supply interruptions by effectively managing the MG resources. The problem is defined as a constrained integer non-linear optimization problem and is solved with the Hunger Game Search (HGS) algorithm. The HGS performance is compared to the Sine Cosine Algorithm (SCA) and Particle Swarm Optimization (PSO). The simulations' results demonstrate the proposed approach's effectiveness in achieving the required objectives.