Abstract: The large-scale application and integration of distributed renewable energy bring great challenges to the planning and operation of the traditional power grid. This paper presents a distributed generation planning strategy considering the correlation and uncertainty of renewable energy output. Firstly,based on Cholesky decomposition,a renewable energy output sampling method which meets the wind power output distribution and wind farm output correlation is obtained. Secondly,considering the uncertainty of renewable energy output, a probabilistic programming model based on renewable energy multi scenario output is proposed. And a partial line loss calculation strategy based on node active power change is proposed considering the large scale and nonlinear constraint characteristics of the model. Finally,the IEEE 33 bus test system is applied to prove the effectiveness of the proposed method.