As a backbone of the U.S. infrastructure, the electricity grid transmits around 400 billion dollars of electricity across the country every year. This grid is increasingly vulnerable because of more frequent and severe natural disasters, in addition to the long-standing challenges from random equipment failures and operation errors. The evaluation and mitigation of disruption-related risks and impacts are often computationally prohibitive due to random weather conditions, high-dimensional data and decisions, and the combinatorics nature of component failures. This project will derive analytical models and scalable solution methods to assist system operators to better evaluate and mitigate disruptions. The analytical models employ publically available data on meteorology and transmission availability, and the solution methods will be evaluated on test instances with industrially relevant sizes.