Taking active management(AM)measures and demand side management(DSM)measures

as well as operating characteristics of wind turbine generators(WTGs)in the planning stage

a bi-layer fuzzy random chance constrained model on distributed generation planning for active distribution network is built. Firstly

the wind speed is treated as a random fuzzy variable in order to deal with error of actual wind speed due to lack of historical data. On this base

a bi-layer fuzzy random chance constrained planning model is constructed by considering AM measures and DSM measures. The maximum annual fuzzy random profit is regarded as the objective function for the upper-layer of the built planning model and the minimum total cost of active power reduction of distributed generator and load interruption is taken as the objective function of lower-layer of the built planning model. All static safety indicators are considered in the form of fuzzy random chance constraints. The upper-layer and lower-layer of the planning model are solved by genetic algorithm

Monte Carlo simulation(MCS)and prime-dual interior point method. Finally

the validity and rationality of the bi-layer planning model are verified by simulation example of IEEE 14-bus system.