Power System Resilience Metrics Based on Tree Failure Model

Power system resilience against high-impact, low-probability (HILP) windstorm events is crucial for utilities and operators. This study proposes a novel vegetation-based stochastic assessment framework for evaluating the resilience of distribution networks. The methodology introduces a parametric Tree Failure Model (TFM) that considers various tree characteristics, such as height, density, and crown diameter, in assessing the fragility of distribution system poles and lines. The study integrates the TFM with a mesh-view resilience assessment approach to evaluate the impact of three HILP event types: hurricane, storm, and ice freezing. The framework is tested on IEEE 33-bus radial test system via three cases based on event center. Results demonstrate that incorporating TFM shows impact of each overhead distribution component and tree on the resilience of distribution grid. This approach provides valuable insights for developing targeted strategies against disruptive HILP events on the power distribution systems. The key take away of the TFM integrated resilience modeling is the comprehensive impact assessment of damage level with respect to HILP event type, location and severity leading to a better assessment of network's energy delivery capabilities and the network restoration potential.