In order to maximize the utilization of large-scale intermittent renewable energy

this paper proposes an area-distributed strategy for active and reactive power optimization in the smart distribution system with a large number of distributed generators. Firstly

the linear conic programming of the multi-period optimal power flow is developed. Then

some ancillary variables at the junction bus are introduced to decompose the distribution system into several separate subsystems. Moreover

the distributed optimization algorithm based on the local reweighted augmented Lagrangian method is proposed to realize the active and reactive power optimization in the whole network. Each subsystem only exchanges partial messages with its neighbors and solves the individual sub-optimization problem by itself in fully distributed manner without global coordinators. Communication complexity is reduced by the algorithm

and the independence of each subsystem is retained as much as possible. The simulation results show that the proposed strategy is of high calculating efficiency and good performance on convergence. This work is supported by National Natural Science Foundation of China(No. 51377142)and Zhejiang Provincial Natural Science Foundation of China(No. LQ15F030001).