Optimization of microgrid operation based on two-level probabilistic scheduling with benders decomposition

In this paper, a two-level model for probabilistic microgrid scheduling, considering the uncertainties of electricity price and predicted load, is present for microgrid performance in both island mode and connection to the main grid. The two-level model of ideal microgrid scheduling using the Banders decomposition method is decomposing into the main problem for operation in the main grid connection mode and subproblems for performance in island mode. The primary problem's objective function is to reduce the cost of microgrid performance, while the subproblem's objective function looks at the adequacy of microgrid production and the microgrid's ability to serve loads without interruption in the case of islands. In this method, if there is not enough power to supply loads in the mode of existing islands, a cut is added to the main issue to revise the microgrid performance program. Finally, the simulation results for both the microgrid connection mode to the main grid and the islands mode are present. In both modes, the modeling results demonstrate excellent microgrid performance.