This article takes the requirement of economic and security operations of active distribution systems into consideration, and puts forward a coordinated robust optimization strategy for active and reactive power in active distribution system on the basis of scenario analysis. Firstly, a coordinated multi-period optimization model of active and reactive power based on second-order cone programming is established with the consideration of controllable resources power characteristics. Based on this model, this paper puts forward a robust coordinated optimization of active and reactive power with the consideration of reducing the negative effect of energy uncertainty on the system. By generating typical scenario sets, the robust strategy can obtain the robust control policy for the active distribution system in extreme scenarios. Numerical tests on the modified IEEE 14 distribution system show that the proposed strategy can make the system stable.