A data-driven tri-level adaptive robust optimization model with a scalable column-and-constraint generation algorithm jointly optimizes long-term grid configuration and short-term operational mitigation for wildfire ignition uncertainty, validated on synthetic data and a large utility distribution系统
Pg&e’s $13.5 billion wildfire settlement and bankruptcy plan
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Large-Scale Resilience Planning for Wildfire-Prone Electricity-System via Adaptive Robust Optimization
A data-driven tri-level adaptive robust optimization model with a scalable column-and-constraint generation algorithm jointly optimizes long-term grid configuration and short-term operational mitigation for wildfire ignition uncertainty, validated on synthetic data and a large utility distribution系统