Island independent microgrid was a complex cyberphysical system, and its energy management was a nonlinear, multiconstraint and multitimescale dynamic problem. For such a problem, the multitimescale optimal scheduling model based on improved adaptive particle swarm optimization algorithm was studied. A multiobjective scheduling model and an intraday rolling optimization correction model were proposed. The daily scheduling model was based on the improved adaptive particle swarm algorithm for multiobjective optimization so as to ensure the microgrid economy and stability. And the rolling optimization model rectified the deviation of the former to guarantee the effectiveness of the daily prediction. Simulation results showed that the proposed strategy could effectively enhance the economy and reliability of island independent microgrid systems.