A Comparison of Top-Down Statistical Models With Bottom-Up Methods for Power System Reliability Estimation in High Wind Events

The North American electric power grid is considered to be the largest and most complex technical system in the world. Reliability of this heterogeneous and highly interconnected systems is paramount since our national security, digital economy, and transportation and water systems require robust operation of the electric power system. The focus of this paper is on comparing top-down statistical approaches with bottom-up engineering models that are used in estimating the reliability of power systems during hurricanes and high wind events. It then gives a synthesized overview of the advantages and disadvantages of each approach and highlights areas in which additional research is needed.