The microgrid is the modern solution for power surges and blackouts as it can act as a standalone system when the grid is under attack as it works along with the grid which helps in achieving higher reliability of the system and also helps to overcome existing problems associated with a grid to reach out remote areas but unlike advantages, there are disadvantages for this kind of system to overcome such as reliability, quality and continuity. When it is considered in a contest of power systems, The major uncertainties are nonlinear, nonconvex, and mixed-integer problems, hence to overcome such types of uncertainties there is a need to develop an optimization technique that can help to reduce the effect on generation and dispatch of power. Microgrid systems which comprised of renewable energy resources such as wind, solar and battery storage units that can be connected to the grid & also can act as a standalone system. This paper reviews the different soft computing techniques involved in optimizing the power system & furthermore, the appropriate & most efficient soft computing technique is determined as well as future scope of these techniques is discussed.