Measurement of the I(V) characteristics of photovoltaic arrays by the capacitive load method for fault detection

Benzagmout, Abdelhadi; Martiré, Thierry; Beaufils, G.; Fruchier, O.; Talbert, Thierry; Gachon, D.

doi:10.1109/icit.2018.8352320

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…The main parameters are given in Table 1 under Many examples of these methods can be found in the literature. Varying the impedance can be created by using resistive load (Van Dyk et al, 2005), charging or discharging a capacitor (Benzagmont et al, 2018;Mahmoud 2006;Muñoz and Lorenzo, 2006;Spertino et al, 2015) or using an electronic switch like MOS transistor (Kuai and Yuvarajin, 2006). The use of one device depends on the PV power and the desired accuracy of measurements.…”

Section: Experimental Set-up Descriptionmentioning

confidence: 99%

PV shading fault detection and classification based on I-V curve using principal component analysis: Application to isolated PV system

et al. 2019

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Health monitoring and diagnosis of photovoltaic (PV) systems is becoming crucial to maximise the power production, increase the reliability and life service of PV power plants. Operating under faulty conditions, in particular under shading, PV plants have remarkable shape of current-voltage (I-V) characteristics in comparison to reference condition (healthy operation). Based on real electrical measurements (I-V), the present work aims to provide a very simple, robust and low cost Fault Detection and Classification (FDC) method for PV shading faults. At first, we extract the features for different experimental tests under healthy and shading conditions to build the database. The features are then analysed using Principal Component Analysis (PCA). The accuracy of the data classification into the PCA space is evaluated using the confusion matrix as a metric of class separability. The results using experimental data of a 250 Wp PV module are very promising with a successful classification rate higher than 97% with four different configurations. The method is also cost effective as it uses only electrical measurements that are already available. No additional sensors are required.

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Section: Experimental Set-up Descriptionmentioning

confidence: 99%

PV shading fault detection and classification based on I-V curve using principal component analysis: Application to isolated PV system

et al. 2019

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“…Benzagmont et al [16] , Mahmoud [17] , Muñoz and Lorenzo [18] , and Spertino et al [19] proposed a capacitor charging or discharging method to plot the I-V curve of PV modules.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of stand-alone photovoltaic system based on battery storage system: A case study of Borj Cedria in Tunisia

Slouma,

Boulaares,

Maity

et al. 2023

CEST

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This work deals with the optimal design of a stand-alone photovoltaic system (SAPS) based on the battery storage system and assesses its technical performance by using PVsyst simulation. In fact, this study is carried out to determine the optimal orientation and tilt angle of a solar panel for collecting maximum solar radiation. Borj Cedria is taken as a case study site to perform the optimum tilt angle through PVsyst. PV-GIS is utilized to estimate global solar irradiance. The proposed system can produce 1314 kWh of energy for the load, which is considered technically suitable for this area thanks to a performance ratio of 58.3% and high specific efficiency generation, besides the solar fraction of about 92.5%. From an economic point of view, the SAPS can save more than 44,000 Dt per year by purchasing energy from the grid system, while considering the aspect of sustainability, 66.24 kg of CO2 annually can be avoided by utilizing the sun’s energy. Furthermore, efficient solar panel use requires its characteristics to be identified under various conditions. An original experimental setup is carried out in the LPV Lab to identify PV characteristics. Experimental and simulation results performed under PSIM software are in good agreement, which shows the experimental setup’s effectiveness.

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A Review of the Main Methods to trace the I-V Characteristic Curve of PV Sources

Campos

Sakô

Reis

et al. 2018

2018 13th IEEE International Conference on Industry Applications (INDUSCON)

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Measurement of the I(V) characteristics of photovoltaic arrays by the capacitive load method for fault detection

Cited by 5 publications

References 14 publications

PV shading fault detection and classification based on I-V curve using principal component analysis: Application to isolated PV system

PV shading fault detection and classification based on I-V curve using principal component analysis: Application to isolated PV system

Optimal design of stand-alone photovoltaic system based on battery storage system: A case study of Borj Cedria in Tunisia

A Review of the Main Methods to trace the I-V Characteristic Curve of PV Sources

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