EnhancingPower System Resilience Using Swappable Battery Integration and SeasonalLoad Profiling: A Bi-Level Optimization Approach

Power systems are generally designed to be reliable against outages with low impact or high frequency.Addressing the resilience of critical global infrastructures against disasters is essential, yet this relativelynew concept still lacks clarity and comprehensive understanding. Electric distribution systems are themost vulnerable component to low-probability, high-impact events, which highlights the need forpreparedness to mitigate their effects. Microgrids, with their ability to operate in islanded mode andtheir potential to utilize renewable energy sources alongside swappable battery-based energy storageoffer a promising solution to enhance the resilience of distribution networks. This study introduces anovel method to address these challenges by employing advanced energy storage technologies tooptimize the sizing and placement of storage systems, aiming to improve resilience proactively. Theproposed approach enhances resilience before disasters occur by prioritizing critical loads, reducingpenalty costs associated with critical load shedding, and ensuring better reliability for essential services.The test system utilized in this research is the IEEE ۳۳-bus distribution network. A bi-level optimizationmodel is implemented, where the first level minimizes operational costs and the second level maximizessystem resilience. This model demonstrates how energy storage technologies can effectively enhancethe resilience of the distribution system.

Keywords:

Resilience , microgrids , energy storage technologies , swappable battery , optimizationmod.