Enhancing the resilience of distribution systems through optimal restoration of sensitive loads based on hybrid network zoning

Recent statistical analysis of natural catastrophes reveals a rise in the number and intensity of incidents worldwide due to climate change. As a result, the urgency of utilizing cutting-edge technology to mitigate its damaging impacts is palpable. This paper presents a novel method aiming at increasing resilience which is based on (1) the installation of intelligently managed remote switches and (2) the optimization of the capacity of the Distributed Generations (DGs) considering the number of sensitive loads. The purpose of this study is to determine appropriate zoning by considering established limits and technical constraints imposed by a certain number of DGs. Each DG is considered to cover a portion of the loads, allowing for the restoration of additional high priority loads with the lowest available capacity in each region. The optimized system's primary function is input using the LP-metric technique with equal weight coefficients. The MILP optimization subject will identify the ideal Microgrid (MG) combinations for reclaiming the highest amount of load. The findings imply that the proposed scenarios are efficient in terms of the problem's stated objective function.