Resilience-enhanced Power System Dispatch Amidst Extreme Blizzard Events

Enhancing the resilience of power systems against escalating threats from extreme blizzard events has become increasingly vital. Despite advances in research, there is a notable gap in modeling the mapping relationship between blizzard scenarios and the failure rates of power system components, alongside developing corresponding emergency dispatch strategies. To address this, our work presents a novel emergency dispatch strategy underpinned by a two-stage stochastic optimization model. This model integrates real-time weather forecasting and advanced stochastic methods to optimize the balance between electricity generation costs and the economic impacts of unserved energy during blizzard conditions, emphasizing the innovative mapping of blizzard scenarios to component failure rates. Employing the IEEE 30-bus test system demonstrates the strategy’s effectiveness in enhancing operational stability and reducing socioeconomic impacts, suggesting its potential for broad adoption in improving system resilience to extreme weather.