Abstract: With increasing presence of intermittent energy resource in active distribution network, it is so difficult to precisely predict the output of renewable resources that the predictions of outputs of distributed energy in active distribution network are inapplicable. Therefore, in order to maximize accommodate intermittent renewable energy resources, a model predictive control（MPC） based multi-time scale coordinated control of distributed generators in active distribution network was proposed to narrowly coordinated control and manage the distributed generators, energy storage systems and flexible loads. The long-time-scale results by solving the optimal power flow were treated as reference values, the MPC based short-time-scale optimization utilize multi-step dynamic roll optimization to compute the active power outputs and smooth the control process. Results obtained from simulation and comparative analysis demonstrate the feasibility and effectiveness of the proposed dynamic optimization strategy.