Micro grids have gained significant attention in recent years due to their potential to enhance the stability and reliability of power distribution systems. The integration of renewable energy sources, such as solar and wind, into micro grids poses challenges related to their intermittent nature and fluctuating power output. To address these challenges, various optimum control techniques have been proposed to improve the stability and performance of micro grid systems. This paper presents a comprehensive review of different optimum control techniques employed to enhance the stability of micro grid systems. The discussed techniques include model predictive control (MPC), droop control, fuzzy logic control (FLC), and artificial intelligence (AI)-based control algorithms. The review highlights the advantages, limitations, and applications of each technique and provides insights into their effectiveness in stabilizing micro grid systems.