optimal active distribution network reconfiguration for loss and supply cost minimization using grey wolf algorithm

In this paper, a novel reconfiguration approach for distribution network incorporating distributed generation is introduced aiming to minimize power losses and energy supply costs. given the temporally variable consumption of residential, industrial and commercial loads and the time-variant energy prices, an hourly reconfiguration scheme for an entire daily cycle is proposed. also considering the privately-owned nature of distributed sources, the energy supply is carried out within a competitive market. the optimization is based on grey wolf algorithm (gwo), implemented in matlab software on an ieee 33-bus test network. the simulation is done for four scenarios with respective objective functions for the evaluations of the results thereof. by comparing the obtained results it is concluded the configuration of network will be the unique for each of objective function. finally, the effects of switching at different hours of day are compared in terms of loss minimization and supply costs against single daily switching scheme.