Experimental Comparison of Visual Inspection and Infrared Thermography for the Detection of Soling and Partial Shading in Photovoltaic Arrays

Cardinale-Villalobos, Leonardo; Meza, Carlos; Murillo-Soto, Luis Diego

doi:10.1007/978-3-030-69136-3_21

Cited by 9 publications

(12 citation statements)

References 29 publications

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“…For each case evaluated, a discrete output variable was generated to indicate whether or not the technique detected failure; the results are shown in Table 6. This table incorporates the VI and IRT measurements that had been reported by [29] for consideration in this new analysis.…”

Section: Results Of the Experimentsmentioning

confidence: 99%

“…To continue the work started by [29], the same suboptimal conditions of soiling and partial shading were used, and the suboptimal conditions corresponding to electrical failures were included. Each is described in this section.…”

Section: Description Of Each Factor and The Levels Of The Experimentsmentioning

confidence: 99%

“…Each suboptimal condition was applied to the study PV arrays (strings 4 and 6) and was compared with the control PV array (string 2); with this, it was verified that all the cases had an affectation of at least 4%, i.e., that it met the criteria of failure. The results are shown in Table 5; these considered the normalization of the power measurements with respect to the reference array [29].…”

Section: Power Affect For Each Case Evaluated In the Experimentsmentioning

confidence: 99%

“…These suboptimal conditions are described as strong shading [13]. The glasses used to emulate the soiling condition are described in detail in [29].…”

mentioning

confidence: 99%

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Quantitative Comparison of Infrared Thermography, Visual Inspection, and Electrical Analysis Techniques on Photovoltaic Modules: A Case Study

et al. 2022

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This paper compares multiple techniques to detect suboptimal conditions in the PV system. Detection of suboptimal conditions in the PV system is required to achieve optimal photovoltaic (PV) systems. Therefore, maintenance managers need to choose the most suitable techniques objectively. However, there is a lack of objective information comparing the effectiveness of the methods. This article calculates and compares the effectiveness of Infrared thermography (IRT), visual inspection (VI), and electrical analysis (EA) in detecting soiling, partial shadows, and electrical faults experimentally. The results showed that the VI was the best at detecting soiling and partial shading with 100% of effectiveness. IRT and EA had an effectiveness of 78% and 73%, respectively, detecting the three types of conditions under study. It was not possible to achieve maximum detection using only one of the techniques, but that VI must be combined with IR or EA. This research represents a significant contribution by achieving an objective comparison between techniques for detecting suboptimal conditions, being very useful to guide PV system maintainers and designers of fault detection techniques.

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Section: Results Of the Experimentsmentioning

confidence: 99%

Section: Description Of Each Factor and The Levels Of The Experimentsmentioning

confidence: 99%

Section: Power Affect For Each Case Evaluated In the Experimentsmentioning

confidence: 99%

“…These suboptimal conditions are described as strong shading [13]. The glasses used to emulate the soiling condition are described in detail in [29].…”

mentioning

confidence: 99%

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Quantitative Comparison of Infrared Thermography, Visual Inspection, and Electrical Analysis Techniques on Photovoltaic Modules: A Case Study

et al. 2022

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“…In this regards, several authors have developed fault detection methods, e.g., [8][9][10][11][12][13][14]. Fault detection methods may use images such as the ones taken by unmanned aerial systems (UASs) that have been proved useful for large PV plants given that the visual data about the site can be taken in relatively short time and does not require additional measurement circuitry [15,16]. Nevertheless, image-based fault detection techniques are not suitable for real-time reconfiguration given that it requires a complex data communication network with a relatively large bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Automated Fault Management System in a Photovoltaic Array: A Reconfiguration-Based Approach

Murillo-Soto

Meza

2021

Energies

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This work proposes an automated reconfiguration system to manage two types of faults in any position inside the solar arrays. The faults studied are the short-circuit to ground and the open wires in the string. These faults were selected because they severely affect power production. By identifying the affected panels and isolating the faulty one, it is possible to recover part of the power loss. Among other types of faults that the system can detect and locate are: diode short-circuit, internal open-circuit, and the degradation of the internal parasitic serial resistance. The reconfiguration system can detect, locate the above faults, and switch the distributed commutators to recover most of the power loss. Moreover, the system can return automatically to the previous state when the fault has been repaired. A SIMULINK model has been built to prove this automatic system, and a simulated numerical experiment has been executed to test the system response to the faults mentioned. The results show that the recovery of power is more than 90%, and the diagnosis accuracy and sensitivity are both 100% for this numerical experiment.

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Detection of Suboptimal Conditions in Photovoltaic Installations for Household-Prosumers

Corrales

Cardinale-Villalobos

Meza

et al. 2021

Sustainable Smart Cities and Territories

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Experimental Comparison of Visual Inspection and Infrared Thermography for the Detection of Soling and Partial Shading in Photovoltaic Arrays

Cited by 9 publications

References 29 publications

Quantitative Comparison of Infrared Thermography, Visual Inspection, and Electrical Analysis Techniques on Photovoltaic Modules: A Case Study

Quantitative Comparison of Infrared Thermography, Visual Inspection, and Electrical Analysis Techniques on Photovoltaic Modules: A Case Study

Automated Fault Management System in a Photovoltaic Array: A Reconfiguration-Based Approach

Detection of Suboptimal Conditions in Photovoltaic Installations for Household-Prosumers

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