1 Power Electronic Systems, The Faculty of Engineering and Science, Aalborg University, VBN2 Department of Energy Technology, The Faculty of Engineering and Science, Aalborg University, VBN3 The Faculty of Engineering and Science, Aalborg University, VBN4 Aalborg University
The performance of photovoltaic systems is often reduced by the presence of partial shadows. The system efficiency and availability can be improved by a maximum power point tracking algorithm that is able to detect partial shadow conditions and to optimize the power output. This work proposes an intelligent maximum power point tracking method that monitors the maximum power point voltage and triggers a current-voltage sweep only when a partial shadow is detected, therefore minimizing power loss due to repeated current-voltage sweeps. The proposed system is validated on an advanced, flexible photovoltaic inverter system test platform that is able to reproduce realistic partial shadow conditions, both in simulation and on hardware test system.
Proceedings of the 2013 Ieee 39th Photovoltaic Specialist Conference (pvsc): Pvsc, 2013, p. 2953-2958
Diagnostics; Fault Detection; Maximum Power Point Tracking; partial shading; Photovoltaic systems