Intelligent Load Prioritization Sequence for Distribution System Reconfiguration

Abstract

Microgrid is becoming an interesting power distribution system to the utility companies owing to its advantages over conventional distribution systems. However, when adopting microgrids, system reliability and cost-effectiveness must be within the acceptable range. In this regard, the microgrid concept has included the feature of automatically restoring the loads according to their importance when a disturbance faced as shortest time as possible. To fulfill the objective of restoration optimization, dynamic priority listing model must be adopted for sequentially restoring the loads according to their importance. In this work, a dynamic priority listing model-including four criticality levels, three sub-criticality levels, which includes the demand side management (DSM) programs, and one special critical level-is proposed. The model outputs the SAIFI, SAIDI and ENS reliability indices, as well as cost of interruptions. Finally, this model is optimized using intelligent fuzzy decision making (FDM) technique, where the reliability indices are calculated using Monte Carlo Simulation (MCS).