About

I am a Power System Engineer at CF Power Ltd.. I earned my Ph.D. in Electrical Engineering from the University of Arkansas. My passion lies in dedicating myself to advancing mathematical knowledge and engineering skills, with a focus on applying them to address real-world challenges, particularly within the realms of electrical engineering.

My work and research

As a Power System Engineer at CF Power LTD, I specialize in power system simulations, utilizing tools like PSS®E and TARA to conduct steady-state and dynamic studies for renewable energy interconnection projects from AEP. My work focuses on advancing the integration of renewable energy sources into the grid, driven by a commitment to environmental sustainability.

My Ph.D. research centers on advancing renewable energy integration within Smart Grids through two primary avenues: optimizing the real-time scheduling of energy sources within the grid and rapidly detecting potential attacks on the grid’s infrastructure. Leveraging statistical inference and deep reinforcement learning algorithms, I’ve developed innovative optimization and detection methodologies, which have been published in multiple peer-reviewed conferences and journals.

My background and history

With a solid foundation and deep enthusiasm for mathematics, particularly in statistics, I earned my B.A. in Electronic Engineering Department from Tsinghua University, recognized as one of China’s top two universities, with a specialization in communication theory. Throughout my Ph.D. program, I furthered my expertise by delving into statistical coursework to support my research in detection algorithms. Concurrently, I pursued independent learning in reinforcement learning and Python, leveraging the DDPG algorithm to optimize online scheduling and detection methods.