The study and application of evaluation methods for photovoltaic modules under real operational conditions, in a region of the Brazilian Southeast

Silva, Aline M.; Melo, Fernando Cardoso; Reis, Joaquim H.; Freitas, Luiz Carlos Gomes de

doi:10.1016/j.renene.2019.01.129

Cited by 13 publications

(11 citation statements)

References 12 publications

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“…The determination of the coefficients 𝑎, 𝑅 𝑠 and 𝜅 for M1 and M2 requires a group of I-V curves at the same G or at the same Tm, which is troublesome and time-consuming to fulfill in real life. Therefore, in most M1 and M2 applications, these coefficients are either tuned via simulation under healthy condition (Silva et al, 2019) or neglected (Dolara et al, 2013) but to the detriment of lower performance. Therefore, in this paper, these coefficients will not be neglected and determined following the standard routine, i.e., via the simulation under healthy condition.…”

Section: Correction Methodsmentioning

confidence: 99%

“…Based on the corrected curves, the open-circuit voltage (𝑉 𝑂𝐶 ), shortcircuit current (𝐼 𝑆𝐶 ), the voltage at the point of maximum power (𝑉 𝑀𝑃𝑃 ), current (𝐼 𝑀𝑃𝑃 ) and power (𝑃 𝑚 ) are commonly extracted characteristics for fault diagnosis (Agrawal et al, 2020;Chen et al, 2017;Huang et al, 2019) or power loss analysis (Wang et al, 2020). Besides, equivalent series resistance (𝑅 𝑠 ) or shunt resistance (𝑅 𝑠ℎ ) are also commonly calculated from corrected curves to analyze the degradation mode of PV networks (Bouaichi et al, 2019;Silva et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation and improvement of IEC 60891 correction methods for I-V curves of defective photovoltaic panels

Migan‐Dubois

Delpha

2021

Solar Energy

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Section: Correction Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation and improvement of IEC 60891 correction methods for I-V curves of defective photovoltaic panels

Migan‐Dubois

Delpha

2021

Solar Energy

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“…The temperature sensor employed is the DS18B20 with an operational range between −55 • C to 125 • C with accuracy of ±0.5 • C. This sensor uses the One Wire protocol for communicating data and possesses a waterproof covering. In order to obtain the cell temperature, Equation ( 5) is used, where T cel is the operational temperature of the cell, T amb is the environment temperature, NOCT is the nominal operational temperature of the cell and G is the irradiance [23].…”

Section: Methodsmentioning

confidence: 99%

Design and Development of an Online Smart Monitoring and Diagnosis System for Photovoltaic Distributed Generation

2021

Self Cite

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In photovoltaic power plants, fault diagnosis tools are essential for ensuring a high energy yield. These tools should be capable of accurately identifying and quantifying the factors behind the various fault mechanisms commonly found in photovoltaic plants. Considering the aforementioned factors, this article proposes an online smart PV monitoring solution, which is capable of detecting malfunctions that arise from accidental and/or technical causes through the analysis of I-V curves, however, without the necessity to interrupt the operation of the system, thus reducing the maintenance cost. Accidental causes can lead to the reduction of energy productivity due to the excessive accumulation of dirt on the photovoltaic modules, partial shading and eventual errors that occur during its installation. On the other hand, technical causes can be attributed to faults found on the photovoltaic modules, which lead to gradual losses in their electric and material characteristics. Therefore, by using the electric characteristics supplied by the manufacturer of the installed modules, the I-V and P-V curves of the operational photovoltaic strings were obtained in real time, compared to the respective theoretical curves obtained through mathematical modeling. In order to validate the proposed online monitoring system and its potential for predictive maintenance application, a field experimentation was mounted in a 93.8 kWp photovoltaic system.

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“…According to manufacturers, a PV module is degraded when its power reaches a level below 80% of its initial power. When this occurs, the PV modules operate outside the expected quality limits, therefore negatively impacting on the performance, and subsequently increasing costs, as well as reducing the working life of the panel (Silva, Melo, Reis, & Freitas, 2019). Temperature, humidity and UV radiation are the main environmental parameters that could degrade the PV modules.…”

Section: Degradation In Pv Modulesmentioning

confidence: 99%

Performance of Photovoltaic Modules After an Accelerated Thermal Cycling Degradation Test

et al. 2019

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Typically, datasheets of photovoltaic (PV) modules state that the guaranteed power production remains constant for a certain period of time and after this point, a linear reduction begins reaching an estimated 80% of the original rated power. Moreover, literature reports that the degradation of PV modules reaches less than 1% per year. In this regard, after 20 years of operation a typical PV module will deliver approximately 20% less energy than a the beginning of its life. In this article, the results of an accelerated thermal cycling degradation test are compared to its brand new conditions. These results demonstrate that although the performance among the PV modules is variable when new, after the cycling test the performance of the degraded PV modules is similar. In this case, the power reduction of the degraded module varies from 1.4% up o 7.6% when compared to the initial condition. Furthermore, an Electrochemical Impedance Spectroscopy (EIS) analysis demonstrates that at high frequencies the results are practically the same regardless if the panel is new or degraded, but at low frequencies the variation of the impedance is notorious.

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The study and application of evaluation methods for photovoltaic modules under real operational conditions, in a region of the Brazilian Southeast

Cited by 13 publications

References 12 publications

Evaluation and improvement of IEC 60891 correction methods for I-V curves of defective photovoltaic panels

Evaluation and improvement of IEC 60891 correction methods for I-V curves of defective photovoltaic panels

Design and Development of an Online Smart Monitoring and Diagnosis System for Photovoltaic Distributed Generation

Performance of Photovoltaic Modules After an Accelerated Thermal Cycling Degradation Test

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