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.