Project Title

Fault analysis of partially shaded photovoltaic systems

Presenters

Harrison IlesFollow

Academic department under which the project should be listed

Electrical Engineering

Faculty Sponsor Name

Yousef Mahmoud

Project Type

Event

Abstract (300 words maximum)

Faults occurring in solar PV systems may subsequently lead to safety hazards, reduce reliability, and system efficiency. While many fault detection methods exist to detect faults and protect solar PV systems, recent studies revealed that they fall short under certain conditions such as partial shading, and low irradiance which may hide low faults current that are undetected. This project focuses on pattern analysis of faults in terms of power, fault current, and voltage under homogenous and partial shading conditions at varying fault resistances and locations. The patterns observed through MATLAB Simulink simulations are then explored to detect faults in PV systems. The method is tested under various atmospheric and partial shading conditions through Matlab/Simulink.

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Fault analysis of partially shaded photovoltaic systems

Faults occurring in solar PV systems may subsequently lead to safety hazards, reduce reliability, and system efficiency. While many fault detection methods exist to detect faults and protect solar PV systems, recent studies revealed that they fall short under certain conditions such as partial shading, and low irradiance which may hide low faults current that are undetected. This project focuses on pattern analysis of faults in terms of power, fault current, and voltage under homogenous and partial shading conditions at varying fault resistances and locations. The patterns observed through MATLAB Simulink simulations are then explored to detect faults in PV systems. The method is tested under various atmospheric and partial shading conditions through Matlab/Simulink.