As an important way to optimize power flow and reduce network loss in the active distribution network(ADN)

network reconfiguration is necessary to be considered in the planning stage. Therefore

the network reconfiguration is considered in the generator planning stage and the minimum comprehensive cost is taken as the objective function. In addition to various traditional planning constraints of distribution generator

the operation constraints of wind power and photovoltaic power generation together with the number constraints of reconfiguration and the permeability constraints of distributed generators are also considered in the planning stage. In view of the wind speed

light intensity and load uncertainty

a “wind-photovoltaic-load” uncertain scenario set is given and a robust optimization model for distributed generators in active distribution network is built considering the network reconfiguration. According to the model characteristics

a double-layer optimization method is used to decompose the model

and the particle swarm optimization(PSO)and the binary particle swarm optimization(BPSO)algorithm are used to solve the up layer and down layer of the programming model

respectively. By the simulation in an IEEE 33-node system

the influence of network reconfiguration and robustness on the distributed generator planning

system economy and reliability is analyzed

and the validity of the model is verified.