Resilience based decision metrics for dispatching mobile emergency truck generators in distribution system

Abstract

Mobile emergency truck generators (METGs) are possible solution to counter the damages inflicted by unprecedented stochastic weather events in distribution systems (DSs). It plays an important role in enhancing the resiliency of DSs. However, there are no metrics that can be used to effectively dispatch the optimal number of METGs and quantify the resilience of DSs. In this regard, a dynamic metric consisting of Network Reconfiguration, including METGs, is proposed to achieve an effective restoration strategy. A decision-making variable method is implemented to sequentially dispatch the right number of METGs to restore critical loads by creating multiple microgrids. The aim is to maximize the load restored following the disturbance to the weighted critical load. To validate the performance of the proposed metrics, the IEEE 33-Bus test system is employed. The test results confirmed the efficiency of the solution proposed in decreasing the interruption of customer electricity.