Optimal Siting and Sizing of Distributed Generation Under Uncertainties Using Point Estimate Method

Power distribution networks are mainly established as radial networks that causes a high level of losses and voltage drop. To overcome this issue, distributed generations (DGs) have been proposed in past decades. Such resources can bring several benefits to the system as well. In this paper, the optimal placement of DGs in distribution networks is suggested. Considered DGs include renewable resources such as photovoltaic (PV) and wind turbines (WT) as well as conventional resources. A point estimate method (PEM) is employed to catch the uncertainty of the problem. Using this scheme makes the model a mixed-integer nonlinear problem (MINLP), which is solved via evolutionary algorithms. In order to evaluate the effectiveness of the proposed method, PEM is implemented on an IEEE 69-bus test system and results are discussed. Obtained results illustrate the best site and size of each type of DGs. In the proposed system, the Installed DGs based on the PEM lead to more than 2 percent loss reduction and voltage improvement.