Tutorial #1
Title: Recently advances of robust predictive control of power converters in hybrid micro-energy systems
Zhenbin Zhang
Professor
School of Electrical Engineering
Shandong University, China
Oluleke Babayomi
Doctor
Cho Chun Shik Graduate School of Mobility
Korea Adv. Inst. of Science and Tech., South Korea
Abstract:
This tutorial covers the recent advances in robust predictive control of power converters for power electronic interfaces for renewable energy conversion in HMES. It begins with the fundamentals of MPC for power converters in HMES. Subsequently, it presents data-driven neural network-based predictive control of grid-forming power converters. Further, it presents the model-free predictive
control of grid-connected dc/ac power converters using multifrequency extended state observers for improved disturbance rejection and measurement noise suppression grid-connected dc/ac power converters. Finally, it discusses strategies for the model-free predictive control with measurement noise suppression of dc/dc converters for energy storage systems.
Biography: Prof. Zhenbin Zhang (zbz@sdu.edu.cn), is currently the director of the Institute of Smart Grid and Sustainable Energy and the International Joint Center for Intelligent Energy and Advanced Energy Conversion Systems, and since 2017, has held the positions of full professor, doctoral supervisor and International Collaboration Ambassador at Shandong University, China. He received the Ph.D. degree at the Institute for Electrical Drive Systems and Power Electronics (EAL), Technical University of Munich (TUM), Germany, with “summa cum laude”. From 2016 to 2017, he worked as a Research Fellow and the group-leader for “Modern Control Strategies for Electrical Drives” group at TUM. From 07.2023—01.2024, he is a guest professor at the University of Cambridge, England. In 06.2018— 12.2022, he was a guest professor in TUM with the “August-Wilhelm Scheer Professorship Award.” In 2019, he was selected as a recipient of China’s “1000-Talent-Plan”. In 2022, he was also elected as IET Fellow. Dr. Zhang is a recipient of the VDE-Award, Germany. He has authored 2 monographs, more than 160 papers, and is included in the World Top 2% Scientists released by Stanford University. He has also made several invited presentations at international conferences and seminars. In addition, he was elected the general chair of IEEE-PRECEDE-2021 conference, and Associate Editor of IEEE TRANSACTIONS ON POWER ELECTRONICS. His research interests include power electronics and electrical drives, sustainable energy systems, smart- and microgrids.
Biography: Dr. Oluleke Babayomi (obabayomi@kaist.ac.kr), is a Postdoctoral Researcher at Korea Advanced Institute of Science and Technology (KAIST), South Korea. He was previously Group Leader (2022—2023) for “advanced control of power converters for microgrids” at the Lab. for More Power Electronics Energy Systems (MPEES), Shandong University, China. Until 2019, he was a Principal Engineer and Software Development Team Lead with the Centre for Space Transport and Propulsion, National Space Research and Development Agency, Nigeria. He received the Ph.D. degree in electrical engineering from Shandong University, Jinan, China, in 2023, with the Outstanding International Student in Shandong [Province] Award. He has published more than 40 peer-reviewed papers and seven granted patents. His current research interests include model predictive control, power electronics, microgrids, and sustainable energy transition policy. Dr. Babayomi is the 2023—2024 Chair of the IEEE Smart Village Marketing Committee.
Tutorial #2
Title: Modular Reconfigurable Energy Storage and Conversion Systems – Introduction to Smart Batteries
Stephan Goetz
Professor
Department of Engineering
University of Cambridge, UK
Nima Tashakor
Doctor
Duke University, USA
Abstract:
The workshop, titled “Modular Power Electronics and Reconfigurable Circuits in Energy Storage, Energy Conversion, and Power Management,” focuses on exploring modular reconfigurable storage, with a strong emphasis on smart batteries. Our primary goal is to offer an introduction to such systems and delve into the latest advancements, challenges, and innovations in this field. The workshop in its core centers on creative solutions in hardware and software layers that optimize system performance while ensuring cost effectiveness in this evolving field.
Biography: Stephan Goetz (smg84@eng.cam.ac.uk) received the Undergraduate and Graduate degrees from the Technical University of Munich (TU Muenchen), Munich, Germany, in 2007 and 2008, respectively, and the Ph.D. degree from TU Muenchen and Columbia University, New York, NY, USA, in 2012, with a thesis on medical applications of power electronics.,He is currently a Faculty Member of Duke University, Durham, NC, USA, and the University of Cambridge, Cambridge, U.K. He has previously worked in the automotive industry in various positions and levels with a focus on electric drive trains, machines, power electronics, and vehicle architecture. He furthermore developed automotive chargers and charging technologies, which are installed on vehicles and in charging stations around the world. He has worked on grid integration and grid-stabilizing functions of chargers. His research interests include high-quality, high-power, high-bandwidth electronics and magnetics for drive and medical applications, and integrative power electronics solutions for microgrids and electric vehicles.,Dr. Goetz was a recipient of the 2022 IEEE Industrial Electronics Magazine Best Paper Award. He was awarded the Ph.D. Thesis Prize from TU Muenchen.
Biography: Nima Tashakor (nima.tashakor@duke.edu) received the B.Sc. degree in electrical power engineering from Isfahan University, Isfahan, Iran, in 2013, and the M.Sc. degree in electrical power engineering from Shiraz University, Shiraz, Iran, in 2015. He is currently pursuing the Ph.D. degree with the Technical University of Kaiserslautern, Germany.,His research interests include power electronics and energy storage systems with a focus on modular converters development and control. Furthermore, he investigates the application of machine learning in power electronics applications.
ONCON 2023 