Maximize usage of the many benefits of Distributed Generation (DG) to minimize adverse effects is depends on the appropriate DG planning in distributed networks. On the other hand the tendency to use renewable energy has been caused installation more Renewable sources compared to other traditional sources. Renewable DG Planning due to the uncertain nature of these resources has different on several aspects with DG planning with controllable output. Renewable DG planning is required that probabilistic models has contemplate for the output of these resource and also use the concepts stochastic programming. In addition, with due attention to routinely pattern of consumption and production are not applicable, achieve to planning aims has difficulties associated with preserving network constraints. To reduce these problems, both Distributed Reactive Source (DRS) planning and network configuration planning can be carried out. While its easiest way to achieve the planned aims, also these aims becoming much better. Thus, in this thesis, the renewable DG planning including solar, wind and biomass sources, DRS Planning and network configuration planning has accomplished. For this purpose planning problem is model as an optimization problem with two objectives, include minimizing annual energy losses and maximizing capacity of allocated DG with network and DG constraints. The defined problem is a stochastic programming problem that can be solved for variant combinations of production and consumption. Production scenarios based on historical data and utilization probability distribution models have been generated for solar radiation and wind speeds. This problem for PG E-69 bus distribution network via GAMS software and PSO algorithm dissolved and important results has obtained for different case studies. Keywords Renewable Energy, Distribution Networks, DG Planning, DRS Planning, Network Configuration