Abstract: The extensive penetration of the wind power leads to the complicated operating characteristics of the interconnected grid. The automatic generation control(AGC) is required to respond to the large-scale, fast variations of the power and load. In addition, the AGC needs to release the effective instructions according to the dynamic unit characteristics, and achieve the continuous multi-period coordination control while addressing the economic issues of the power grid operation. A dynamic model of the optimal AGC control strategy for interconnected power grids is established considering the dynamic AGC unit characteristics,and the large-scale, fast variations of the wind power investigated. The proposed model weighs the proportion of the economic factors and the indicative targetsin the process of dynamic optimization,takes into account the CPS evaluation criteria, and comprehensively releases multi-period continuous coordination instructions. As the proposed model formulates a large-scale, multi-period optimization problem with multiple constraints, particle swarm optimization(PSO) is adopted to solve it. The particles that violate the constraints are effectively accommodated based on the actual operating characteristics. By simulation, the proposed control strategy is verified to has advantages over the traditional control strategy in both AGC regulation expanse and the power grid frequency/CPS indicator.