Sequential Service Restoration of Distribution System Considering Interdependent Critical Loads

Frequency and intensity of unprecedented weather-related disaster events has increased significantly in recent years. These high intensity low probability events incur faults on distribution system which are out of the scope of conventional design and operation. This has shifted the focus of researchers towards developing efficient service restoration models capable of restoring the distribution systems integrated with distributed generators employing network reconfiguration algorithms. These service restoration models provide a final solution which does not include sequence of switching operations. Switching sequence is essential for implementation of the restoration solution to avoid unbalancing and overloading condition which can cause blackout during restoration whilst maintaining radiality and stability. In this study, a switching sequence model is proposed to safely transit the distribution system from degraded state to restorative state. The proposed switching sequence model is a mixed integer second order cone programming problem and its efficiency is is evaluated on IEEE 33 bus system. Results show that switching sequence model provides efficient solution for all fault scenarios.