Assistant professor Xingpeng Li develops machine learning solution for integrating renewable energy into power grids, winning a National Science Foundation CAREER Award.
Xingpeng Li, an assistant professor at the University of Houston, is developing a solution to integrate renewable energy sources seamlessly into power grids, using machine learning. This is crucial to ensure uninterrupted power supply as traditional synchronous generators are replaced with inverter-based renewable resources, creating low-inertia challenges. Li's project "Frequency-Constrained Energy Scheduling for Renewable-Dominated Low-Inertia Power Grids" received a National Science Foundation CAREER Award.
March 12, 2024
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