Integrating Renewables and Machine Learning for Improved Grid Stability

Renewable energy sources like solar and wind power are crucial in the fight against climate change, aiming for a net-zero future. However, the transition from traditional synchronous generators to renewable sources poses challenges for power grid stability and reliability.

Xingpeng Li, assistant professor of electrical and computer engineering at the University of Houston, is addressing these challenges with a solution that integrates renewable energy sources seamlessly into the power grid. Li, who received a National Science Foundation CAREER Award for his project, aims to ensure efficient and stable operations while accommodating the increasing presence of wind and solar power.

In explaining the importance of inertia for system stability, Li stated, "For example, when the grid experiences sudden large generation losses or increased electrical loads, the stored kinetic energy immediately converted to electrical energy and addressed the temporary shortfall in generation."

As renewable energy's share grows, Li emphasized the need to maximize their use while acknowledging the reduction in power system inertia. To tackle this, Li and his team will leverage machine learning to develop dynamic performance models integrated into grid operators' scheduling applications for efficient and stable grid operations.

Moreover, Li's commitment extends to inspiring future generations through educational initiatives. He plans to create an open-source tool for the research community and introduce a course on "Applied Machine Learning in Power Systems" to bridge the gap in expertise required for the evolving power industry.

Xingpeng Li's research interests focus on enhancing the efficiency and security of energy systems, particularly in promoting renewable energy integration. His extensive contributions to the field have earned him recognition, including being named an Early-Career Research Fellow and receiving awards for innovative submissions in the energy sector.

With a vision to advance towards net-zero energy systems, Li's work at the Renewable Power Grid Lab at UH and the Power Electronics, Microgrids & Subsea Electrical Systems Center contributes significantly to the integration of renewables and green hydrogen into future power grids.