optimizing reactive power for dg units to minimize power system losses using stochastic modeling

In recent decades, because of some main and principle world problems such as increasing the population, global warming, climate changes, and fossil fuel sources reduction, the using of renewable energies has impressively increased that can solve and reduce the caused problems by traditional power plants, and also can control power system the important indexes such as losses, voltage drop, transferring capacity. reactive power has an important role in controlling and minimizing of losses, the optimal distribution of reactive power in presence of distributed generation (dg) units in distribution networks is an important and key problem. in this paper, for uncertainties modelling of dg units and optimizing the reactive power, the statistical-quality based taguchi method and genetic algorithm are used, respectively.  the simulation of this paper is checked and done in matlab and minitab using ieee 57-bus standard network, and simulation results show 5.5 mw reduction of the distribution network losses.