Power System Research Engineer

The petitioner proposes to develop state-of-the-art situational awareness approaches to enhance the resilience of transmission and distribution smart grids. This work involves integrating advanced modeling, artificial intelligence, and renewable energy data to help operators manage dynamic, distributed energy systems. The goal is to ensure that renewable-heavy grids remain reliable and flexible while meeting growing energy demands.

The petitioner proposes to continue his research on distribution system restoration and transmission planning to enhance the reliability of the U.S. power grid. His work focuses on developing adaptive restorative methods for power networks using improved greedy search algorithms and contingency-based constraints to prevent blackouts during extreme weather.

The petitioner proposes to develop advanced machine learning technologies to integrate electric vehicles and renewable energy into power distribution networks. This work focuses on creating cost-effective methods to modernize the power supply and improve grid reliability and stability. The endeavor aims to reduce dependence on non-renewable sources and address challenges related to aging energy infrastructure.

The petitioner proposes to develop advanced control and protection strategies for inverter-based renewable energy resources to enhance grid resilience and cybersecurity. This work involves designing machine-learning and simulation-driven methods to detect and mitigate false-data attacks on microgrids and establishing 5G-enabled testbeds for low-latency control. The goal is to facilitate the safe integration of clean energy technologies while preventing cascading outages from cyber threats.