Date: 17th April 2025
Time: 12:00 PM to 12:30 PM
Location: R01013
Microsoft Teams Link:
Abstract:
Weighting factors (WFs) in the Finite-Control-Set Model Predictive Control (FCS-MPC) cost function can accommodate various objectives. Additionally, they enable the prioritization of control variables over others by carefully selecting the WFs ratio of those variables. Nevertheless, determining these WFs is not simple. It necessitates approximation through a trial-and-error method, which is time-consuming, relies on intuition, and lacks robustness
against system uncertainties. This research focuses on optimizing FCS-MPC WFs for a PV system connected to the grid via a three-level boost and three-level neutral point clamped (NPC) converters with LCL filter, in which FCS-MPC is used to control both converters. Besides reference tracking, the aim is to minimize the grid current THD, active power ripple, and the DC-link capacitors’ neutral point voltage ripple.
Bio:
Ahmed M. Osman received a B.E. in electrical engineering from the Sudan University of Science and Technology and a master’s degree (M.Sc.) in electrical engineering from King Abdulaziz University in 2022. From 2013 to 2016, he worked as a Teaching Assistant (Tutor) with the Department of Electrical Engineering, Sudan University of Science and Technology. From 2016 to 2020, he worked as a Control and Instrumentation Engineer with Sudanese Thermal Power Generating Company. He is currently pursuing his PhD with the department of electrical engineering at Khalifa University. His research interests include integrating renewable energy sources into the grid and applying modern control techniques in power systems
