Staff Reserach Engineer Pacific Northwest National Laboratory, Washington
Presentation Description: The U.S. offshore wind (OSW) resource is abundant and regionally diverse. It will be a critical component supporting decarbonization. A coordinated offshore transmission network offers a variety of operational and economic benefits. However, extreme weather events pose challenges to the reliability of the power system. Lack of accurate simulation to identify evolving large OSW interconnected grid behavior under extreme weather conditions/ contingencies could result in massive consequences and blackouts. Although extreme events are unlikely, they pose a substantial risk to the country’s security and economic health. During severe weather or extreme contingencies, there is a need for practical simulation approaches that can effectively represent and predict grid health for time-series scenarios instead of focusing on a few specific ones. These tasks are highly time consuming and computationally intensive, especially for time series analyses, but are desirable to the OSW industry. This presentation covers procedures to assess the impacts of extreme weather on OSW generation and related transmission needed to integrate OSW resources.
Learning Objectives:
Demonstrate Electrical Grid Resilience and Assessment System (EGRASS) which is a cloud-based and publicly accessible web-based application framework that encapsulates the analytical approach and thought process of Pacific Northwest National Laboratory subject matter experts familiar with the electrical grid assessment and analysis.
Demonstrate how EGRASS estimates windspeed at critical assets and related fragility curve failure probability for each asset along the storm track.
Demonstrate how to identify critical electrical infrastructure risks on offshore wind generation for various weather events and their impact
