Considering the fluctuation of predicted output power of new energy units such as wind power, a strategy to strengthen the dispatching optimization of new energy distribution network is proposed. Taking the constraints such as operation cost, voltage deviation and network loss of distribution network as a reference, we provide the description of wind power active power control. Then, combined with stochastic chance constrained programming, an improved particle swarm optimization algorithm is proposed to establish the optimal dispatching model of “source-network-load” distribution network. Finally, the effectiveness of the models and methods proposed in this chapter is verified by a simulation example of IEEE-33 node distribution system. The results show that the comprehensive optimization of the two is better than the reconstruction or optimization separately, which can facilitate the dispatcher to select the best optimal scheduling strategy.