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In this paper, a model predictive control (MPC)\ud strategy is proposed to control the energy flows in a distribution\ud network node (e.g. a distribution substation) equipped with an\ud electric storage system (ESS) and serving a portion of the grid\ud with high penetration of renewable energy sources (RES). The\ud aim is to make the power flow at node level more controllable in\ud spite of the presence of fluctuating distributed energy resources.\ud In particular, the proposed control strategy is such that the\ud controlled power flow at node level tracks the profile established\ud on a day-ahead basis for efficient operation of the grid. That is\ud achieved by letting the MPC controller decide the current storage\ud power setpoint based on the forecasts of the demand and of the\ud RES output. Theoretical results are reported on the stability of\ud the proposed control scheme in a simplified setting foreseeing\ud zero forecasting error. The performance of the system in the\ud general case is then evaluated on a simulation basis. Simulations\ud show the effectiveness in managing RES fluctuations in realistic\ud settings