Microgrid is a single controlled, independent power supply system consisting of a set of load, distributed generations, energy storage units and controllable devices. However, the inherent intermit and variability of renewable energy resources complicate microgrid operations. Meanwhile, more and more controllable loads are being integrated into the microgrid operation. In this paper, considering the stochastic and uncertainties of load demand and renewable energy power generation, a two-stage microgrid stochastic energy management model is established, and the constraints that the system model needs to meet are put forward. Then, the uncertainty problem of the model can be dealt with by the combination of scenario analysis and Monte Carlo simulation. Finally, the MATLAB optimization toolbox is used to solve the stochastic programming model. Compared with the deterministic model, the simulation results show the effective performance of the proposed approach.
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