Effect of Photovoltaic and Wind Power Variations in Distribution System Reconfiguration for Loss Reduction Using Ant Colony Algorithm.

Intermittent characteristic of renewable power resources like photovoltaic (PV) power and wind power makes it very important to include power production at various times when evaluating the distribution system performance. This paper presents the effect of the intermittent renewable energy resources in the distribution system reconfiguration for loss reduction. The loss minimization problem is solved using the Ant Colony Optimization (ACO) algorithm implemented in the Hyper Cube (HC) framework. The 32-bus distribution network is studied for optimizing the configuration with and without the intermittent generations. The results of reconfiguration using the ACO algorithm show the improvement in the buses voltage profile with installing of PV and wind power sources with different values of solar irradiance and wind speed.