b'High-performanceFaster than real time predictive capabilities lead to a secure and resilient Computing-basedelectricgrid.Dynamically AdaptiveT he electric grid is becoming more complex, more dynamic, and less predictable due to the integration of newer technologies and approaches Protection Schemes fordriven jointly by science and policy. These forces increase the risk of ElectricGrid cascading failures and, therefore, compromise electric grid resiliency. Two major challenges of the future grid are: (1) the prediction and mitigation of cascading failures; and (2) the real-time adaptive methods for protection and remedial action schemes. A remedial action scheme is a procedure designed to activate under certain system stress conditions that may not exceed individual component protection thresholds. Practical solutions for dynamic reconfiguration require faster than real time predictive capabilities to analyze thousands of scenarios every few microseconds. In this project, the team developed a high-performance real-time co-simulation platform by integrating a digital real-time simulator and high-performance computing for outage prediction and dynamically adapting TOTAL APPROVED AMOUNT:the protection settings. Optimal operation scenarios were identified, and the $990,529 over 3 years protection and remedial action schemes were dynamically optimized based on the real-time state of the electric grid. Research suggests a shift from state-of-PROJECT NUMBER:the-art static to dynamic settings for wide area protection. An improved and 18A12-212 less conservative protection and remedial action scheme operation was obtained PRINCIPAL INVESTIGATOR:by optimizing settings dynamically. Such methods incorporate more dynamic S M Shafiul Alam behavior in protection, control, and restoration and are applicable to advanced energy infrastructure.CO-INVESTIGATORS:Siddharth Suryanarayanan, South Dakota State UniversitySvetlana Poroseva, University of New MexicoCOLLABORATOR:Idaho Power CompanyThe high-performance computing simulation platform enables the validation of any power system contingency (e.g., blackout) mitigation scheme, such as load shedding and transmission switching in real-time.74'