The Webinar ID, once you have registered is this: 986 8472 1118 This pass code may be needed, too: 920539
Speaker: Venkata Yaramasu, PhD, Assistant Professor of Electrical Engineering, School of Informatics, Computing, and Cyber Systems (SICCS), Northern Arizona University, Flagstaff, AZ. Dr. Yaramasu research interests include renewable energy, high-power converters, variable-speed drives, electric vehicles, energy storage, smart grid, and model predictive control. Among other accomplishments, he is the author of “Model Predictive Control of Wind Energy Conversion Systems” published by Wiley-IEEE Press in 2016.
Background: This webinar is the second in a series and is sponsored by WindU. WindU is a consortium of universities which cooperate in the exchange of graduate courses in wind energy. The consortium includes UMass Amherst, Northern Arizona University, Texas Tech University and Penn State University. WindU is associated with the North American Academy of Wind Energy and is supported at this stage by a grant from the National Science Foundation.
Summary: Wind energy is rapidly becoming mainstream and competitive with conventional sources of energy. The megawatt wind turbines operating at variable-speed dominate the current wind energy market with the largest operational turbine rated at 10 MW. Among various wind generators, permanent magnet synchronous generator (PMSG) has become main-stream solution, due to gearless operation, high energy conversion efficiency, self-excitation, simple control, and increased reliability. In recent years, with the technological advancements in digital signal processors, the model predictive control (MPC) strategy has emerged as a simple and promising digital control tool in power electronics, variable-speed motor drives, and energy conversion systems.