Advanced Configuration of Radial Distribution Networks for Loss Reduction and Voltage Profile Enhancement Considering Load Uncertainty and Smart Grid Integration

Optimal reconfiguration of distribution networks refers to determining the most efficient topology to achieve specific objectives such as power loss reduction and voltage profile enhancement. In this study, the reconfiguration process is implemented on the standard IEEE ۳۳-bus test system using the Gravitational Search Algorithm (GSA) in conjunction with graph theory. The primary objective is to minimize power losses and voltage deviations under load uncertainty. To this end, a composite objective function is formulated, incorporating both the total power loss index and the voltage deviation index of the buses. Additionally, technical constraints including bus voltage limits, permissible loading of lines, and transformer capacity limitations are taken into account in the optimization model. To accurately address load uncertainty, a probabilistic load modeling approach is integrated throughout the optimization process. Simulation results demonstrate that the proposed method significantly reduces total network losses and improves voltage profiles compared to the original configuration. These findings highlight the effectiveness of the hybrid GSA-based approach in enhancing the structural performance of radial distribution networks.

کلیدواژه ها:

Distribution Network Reconfiguration ، Gravitational Search Algorithm (GSA) ، Load Uncertainty ، Loss Reduction ، Voltage Profile Improvement ، IEEE ۳۳-Bus System ، Graph Theory