Hybrid Surrogate-AI Modeling Framework for Resilience Analysis

Vanderbilt University will develop an innovative simulation platform designed to enhance microgrid performance and resilience in isolated, mission-critical environments. The project aims to create a modular framework that integrates artificial intelligence, machine learning, and physics-based simulations to support adaptive decision-making under uncertain conditions. By developing a domain-specific modeling language, hybrid simulation modules, and dynamic model updating capabilities, the research seeks to improve microgrids' ability to maintain power availability and stability during disruptions, resource variations, and component degradation.

The comprehensive approach includes developing an intuitive graphical modeling environment, implementing plug-and-play simulation modules for benchmarking, integrating continual learning strategies for model adaptability, and creating a containerized application suitable for Department of Defense deployment. This innovative framework will enable more robust and responsive microgrid systems by combining advanced computational techniques with domain-specific modeling approaches, ultimately enhancing the reliability and performance of critical energy infrastructure in challenging operational contexts.