Optimal scheduling of the energy storage system in a hybrid micro‐grid considering uncertainties, using the stochastic quasi‐gradient method

Energy storage and renewable sources play a unique role in the future advances of smart grids. In this article, optimal scheduling energy system hybrid microgrid is presented considering uncertainties generations load. The optimisation problem article non-linear non-convex, therefore conventional methods such as linear programming (LP) are unable to solve problem. On other hand, because parameters uncertainty, special considerations required simulate these parameters. regard, new algorithm that can non-linearity non-convexity objective function proposed based on Stochastic Quasi-Gradient Method (SQGM). Moreover, wind, PV generation, load modelled. Different algorithms: Dynamic Programming (SDP), Dual (SDDP) SQGM compared. A 9-bus benchmark with distributed generation units used evaluate strategies.