Indian Journal of Engineering & Materials Sciences

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A Simplified Approach to Detect and Diagnose the Faults in PV Array Electricity Generation System


Affiliations
1 Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India
2 Department of Electrical Engineering, Government Polytechnic, Shahabad, Rampur U.P. 244922, India

Photovoltaic (PV) energy has become recognized as an important alternative energy source because of its efficient conversion method. Nevertheless, issues such as partial shade and faults can considerably diminish the power output of PV arrays, requiring the implementation of efficient fault detection and diagnosis methods to ensure safe and optimal operation. This article presents a simplified mathematical model for photovoltaic (PV) systems and proposes a fault detection method based on the use of solar irradiance, voltage, and current parameters. The system utilizes voltage and current ratios, together with irradiation data, to determine threshold values that can be used to diagnose different fault modes. The fault detection approach has been examined on a 4×4 PV array with a power capacity of 1600 W using MATLAB/Simulink R2019a. The method's accuracy has been verified by further experimental setups. The results demonstrate that the technique is uncomplicated, requires a smaller amount of data for identifying defects, and automatically characterizes faults with a high level of precision.

Keywords

Fault detection, Fault diagnosis, Photovoltaic array, Photovoltaic modeling, Partial shading, Wavelet packet transform
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  • A Simplified Approach to Detect and Diagnose the Faults in PV Array Electricity Generation System

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Authors

Abhishek Kumar Gupta
Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India
Rajveer Singh
Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India
Sanjiv Kumar
Department of Electrical Engineering, Government Polytechnic, Shahabad, Rampur U.P. 244922, India

Abstract


Photovoltaic (PV) energy has become recognized as an important alternative energy source because of its efficient conversion method. Nevertheless, issues such as partial shade and faults can considerably diminish the power output of PV arrays, requiring the implementation of efficient fault detection and diagnosis methods to ensure safe and optimal operation. This article presents a simplified mathematical model for photovoltaic (PV) systems and proposes a fault detection method based on the use of solar irradiance, voltage, and current parameters. The system utilizes voltage and current ratios, together with irradiation data, to determine threshold values that can be used to diagnose different fault modes. The fault detection approach has been examined on a 4×4 PV array with a power capacity of 1600 W using MATLAB/Simulink R2019a. The method's accuracy has been verified by further experimental setups. The results demonstrate that the technique is uncomplicated, requires a smaller amount of data for identifying defects, and automatically characterizes faults with a high level of precision.

Keywords


Fault detection, Fault diagnosis, Photovoltaic array, Photovoltaic modeling, Partial shading, Wavelet packet transform