The distribution network’s incorporation of microgrids presents a viable route to sustainable energy solutions. The occurrence is high-risk and low-frequency event, and it has a significant impact on the distribution network. As a result, several nations have made the distribution network’s resilience their main concern. Resilient distribution networks can withstand, adjust to, and quickly recover from interruptions. The distribution network’s resilience is designed to withstand extreme events that are high-risk and low-probability, such as severe natural catastrophes and man-made assaults. The methodology for evaluating the robustness of an electrical distribution network with integrated microgrids under harsh circumstances will be presented in this study. This paper’s goal is to show how islandable microgrids and distributed generation has increased the distribution network’s resilience to harsh environments. The suggested mesh network technique is used to study the process by which severe events impact the operation of distribution networks. The resilience indices and the number of hours needed to reestablish the distribution network following the low-frequency, high-risk event are determined using the Monte Carlo approach. To improvement of system resilience, we fined the proper placement size of distribution generation in network using Particle swarm optimization also to calculate the most optimal power flow, the forward–backward sweep approach is employed. All this simulation will carry out using MATLAB. The IEEE 33 bus is used to illustrate the suggested distribution network resilience analysis approach.