Smart energy systemsLed by Yufei Tang, Ph.D.
Yufei Tang is an Assistant Professor in the Department of Computer & Electrical Engineering and Computer Science at Florida Atlantic University (FAU). He is also a Faculty Fellow of the FAU’s Institute for Sensing and Embedded Network Systems Engineering (I-SENSE). He received his Ph.D. in Electrical Engineering from the University of Rhode Island in 2016. His research interests lie in the general area of Computational Intelligence and the applications in Cyber-Physical Energy Systems. In particular, he is interested in developing new intelligent algorithms (e.g., reinforcement learning, adaptive dynamic programming) and building efficient and resilient energy systems (e.g., power system stability control and optimization, cyber-physical smart grid security, marine hydrokinetic turbine monitoring).
This project focuses on the development of new models and intelligent algorithms for renewable resources integrated smart grid optimal design.
The REU participant will learn the impact of the renewable resources integration into the traditional electric power system, and design effective models and methods for building efficient and resilient smart energy system. In particular, the participant will be introduced to the exciting area of smart grid research, such as marine hydrokinetic (MHK) generation system monitoring and control. To facilitate the implementation, the design will be carried out using both Matlab/Simulink and professional MHK simulation tools, such as Wave Energy Converter SIMulator (WEC-Sim) developed by National Renewable Energy Laboratory (NREL). Depending on background, the participant can investigate the characteristics of existing models or develop new intelligent algorithms for monitoring and control purpose. The project will provide a meaningful experience for the participant, while contributing to Dr. Tang’s ongoing work in this area