Loss Reduction and Ancillary of Voltage Support with Distributed Generation Considering Different Power Factors

This paper presents the application of Particle Swarm Optimization with inertia weight (PSO-W) algorithm to optimize the integration of Distributed Generation (DG) into a radial distribution network. This study differs from previous in the literature, as the node to which DG is connected was modelled as a generator (PV) node to inject controlled reactive power considering different minimum operating power factors (lagging). The study considered three different scenarios based on two cases. Case I consider DG operation in a network compensated with shunt capacitor and Case II is without the shunt compensation capacitors. The objective of the optimization is to minimize the total power loss and at the same time provide voltage support for the network. The best loss reduction figure and improvement in network voltage support was obtained when two DGs were integrated into the compensated network. However, appreciable results in terms of total power loss reduction and voltage profile improvement were also obtained with the uncompensated network, since DGs could provide network var support.