"Computational Image Based Solar PV Systems"
A main source of power losses in solar Photovoltaic (PV) systems is partial shading, which occurs when the PV units of a PV system do not all receive the same irradiance. Unlike PV systems receiving the same irradiance across their PV units in which a single power peak exists in the output power curve, partially shaded PV systems may exhibit multiple power peaks. Tracking the global power peak (GPP) in partially shaded systems can be challenging because conventional maximum power point tracking (MPPT) techniques can get trapped in a local power peak and thus miss the true GPP. Various methods have appeared in literature to mitigate these losses; advanced global MPPT algorithms, distributed converters such as FPP and DPP, dynamic reconfigurations...etc.
This seminar introduces a new approach for improving the performance of exiting methods that mitigate power losses in partially shaded PV systems. The new methodology is uniquely distinguishable because of its ability to replace the heuristic nature of the existing methods by deterministic ones, and therefore, avoiding the need for searching and scanning the power curve. The proposed scheme relies on the knowledge of the irradiances received by the PV cells which are usually difficult and expensive to get measured. The knowledge of the irradiance are estimated innovatively using captured images of the PV modules obtained by an optical camera. Experimental verifications validate the effectiveness of the proposed methodology to improve maximum power point tracking and control in micro-inverters and differential power processing architectures under various shading scenarios.
Yousef Mahmoud is an Assistant Professor at Worcester Polytechnic Institute (WPI) since Aug/2016. He received his Ph.D. degree in Electrical and Computer Engineering from University of Waterloo, Canada. His main research interests are mitigating the power losses in solar PV systems and improving their overall efficiency. He is also interested in modeling, analysis and design of power electronic converters and their applications in grid integration of renewable energy systems.