Since the forecasting accuracy of wind power increases as time scales decrease, a multi-time scale coordinated rolling optimal dispatch approach of wind-integrated power system based on distributed energy storage is proposed. According to the grid-connected standard requirements of wind power and the capability of distributed battery energy storage system (DBESS) to damp power fluctuation, an optimized model is established with the objectives to minimize operation costs and maximize wind power integration, and it is solved by genetic algorithm (GA) iteratively. The IEEE 39-bus system is modified with the addition of four wind farms and two BESSs, which is taken as a case study to verify the effectiveness of proposed approach. The results showed that the proposed approach can attain an optimal DBESS control strategy to improve both the operation economy and wind power integration.