Electrical fault tolerance of photovoltaic array configurations: Experimental investigation, performance analysis, monitoring and detection

Priya Ranjan Satpathy, Belqasem Aljafari, Sudhakar Babu Thanikanti and Siva Rama Krishna Madeti

Renewable Energy, 2023, vol. 206, issue C, 960-981

Abstract: The array configurations have gained a higher prominence and application in the solar PV system for reducing power losses during partial shading. However, additional wires can increase the vulnerability of these configurations to electrical faults affecting the performance and lifespan of the modules. Hence, this paper investigates the reliability of these configurations under various electrical faults in the MATLAB and prototype experiment platforms. Additionally, a powerline communication-based PV monitoring system along with fault detection through optimal sensors placement and a user-friendly web application are developed to monitor the performance, detect the presence of the fault and access the data during normal and faulty operation of the PV array respectively. The investigation is conducted for 3x3 array configurations, compared using power curves, and electrical parameters, and the performance along with detection is studied using the real-time data from the proposed monitoring system under normal and faulty conditions. From the analysis, the series-parallel has a higher average tolerance of 59.48% and 48.38% than honeycomb (54.16% and 47.43%), bridge-linked (52.56% and 43.96%), and total-cross-tied (53.66% and 37.48%). The proposed low-cost PV monitoring system has effectively monitored the system performance and is capable of detecting various types of faults in PV arrays and notifying the system with an alarm for proper diagnosis.

Keywords: Photovoltaic arrays; Electrical faults; Online monitoring; Fault detection; Power reduction (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:206:y:2023:i:c:p:960-981

DOI: 10.1016/j.renene.2023.02.103

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