Abstract: In view of the negative correlation between wind power and photovoltaic,between wind power and load,and the positive correlation between photovoltaic and load,the correlation factor is added in the distribution network planning. Latin hypercube sampling method in probabilistic power flow and Cholesky is used to represent the correlation among wind speed,illumination intensity and load.Then the rank correlation coefficient matrix is added to the probabilistic power flow calculation. Distributed generation planning is carried out on the basis of distribution network planning. In this paper,a modified particle swarm optimization algorithm is applied to simulate the distribution system of IEEE 33 bus. The results show that the voltage deviation of the planned power network increases slightly with the addition of the correlation factors,and the annual comprehensive cost and active power loss decrease correspondingly,which proves the necessity of considering the correlation factors in the planning of the distribution network including the distributed power supply.