The long-term planning problem for improving the distribution system faces with lots of complexities due to its large number of decision variables. The optimized placement of distributed generation (DG) sources and finding out their capacity in the restructured power environment is a new way to expand the capacity of the distribution firm covered network. In this paper, a new method is proposed for finding out the optimized location and capacity of DG sources in the restructured environment through the net present value analysis using an optimization model. This model aims to minimize the investment cost of the distribution firm, utility cost and the losses cost considering the anticipated load peak value. Considering the power market price anticipation to be indefinite, the proposed method is based on laying out the genetic algorithm and a fuzzy model to the power market price and the capacity expansion design of the distribution system during different time intervals is proposed along with two static and semi-dynamic methods. The efficiency of the proposed approach is well shown applying it to a sample network.

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