Enhancing Distribution Grid Resilience via Multi-Autonomous Microgrid Islanding

The ability of power systems to withstand and recover from natural events, like storms, earthquakes and floods is referred to as resilience. These events may not happen often. They can cause damage to infrastructure and disrupt the supply of electricity. That's why it's crucial to consider resilience when planning and operating networks. In this paper we present a method to enhance the resilience of distribution networks these are the parts of the system for delivering power to end users. Our approach involves dividing the distribution network into subnetworks called microgrids. Each microgrid operates independently. Includes sources of generation loads (consumers) and storage devices. These microgrids can function as part of the grid. Operate autonomously in what we call island mode during major disturbances. In situations they can isolate themselves from the grid and use their internal resources to continue providing electricity specifically for critical needs. To assess how well our approach performs we introduce a measure called a resilience indicator. This indicator evaluates how effectively users electricity demands are met during and after a disturbance occurs. It can be calculated individually for each microgrid or holistically, for the distribution network by considering how these microgrids interact with each other. Our research demonstrates that the method we propose can improve the reliability of the power distribution network. We achieved this by comparing the results obtained from our approach with those, from a network that does not use microgrids. Our paper adds to the existing knowledge, on the resilience of power systems by introducing a technique centered around creating multiple independent microgrids. Key words. Resilience, Electrical power systems, Microgrids, Islanding and Extreme natural events.