An Effective Robust Strategy for Reconfiguring Distribution Systems Considering Load and DG Uncertainties and Demand Variability

Today, distribution networks are important parts of modern power systems that include specific numbers of distributed generation (DG) units. Although DG utilization in distribution grids diminishes energy dissipation, integration of DG into these networks is constrained by financial and technical restrictions. To more effectively reduce these losses, distribution systems should be reconfigured to adapt to their variable and unpredictable load demands and renewable energy generation. Nonetheless, these uncertain amounts affect energy losses notably. Thus, the proposed configurations should not be modified by every change in load and generation levels (i.e., the reconfiguration approach must be relatively robust against load and generation uncertainties). Also, taking demand variability into account when reconfiguring distribution systems enhances the complexity, computational load, and time of processing. Therefore, strategies of reconfiguration should be selected for their robustness and quick convergence in the face of load and generation variability and uncertainty. Hence, this study developed an effective and robust strategy for reconfiguring distribution grids considering variable and uncertain load and renewable generation. Some of the most important features of the presented approach are its simple implementation, appropriate robustness, and relatively short computational time, as shown in simulation results.