Bottlenecks Identification and Resilience Improvement of Power Networks in Extreme Events

Extreme events are always accompanied with extensive failures and sharp performance degradation in the power network. This study aims to derive an effective scheme identify transmission bottlenecks improve network’s resilience under extreme events. A greedy search is designed for quick slow restoration stage obtain largest supply (LPS), which a significant engineering indicator of In stage, we use interior point optimization adjust operating parameters undamaged components maximize LPS limited resources. It worth pointing out that cannot be further improved, even by increasing capacities most links. phenomenon due existence bottlenecks, operate at their capacity limits. Thus, these expanding Case studies show proposed can not only greatly available post-disaster network but also accurately bottlenecks. work provides practical insights building resilient infrastructures, although object study.