Abstract
Keeping low-cost industrial systems in operational condition has become a critical factor in business performance. At the moment, the forecast maintenance proves to be an essential activity in order not to incur untimely maintenance costs.
In photovoltaic and wind renewable energy production systems where production is dependent on meteorological conditions, the study of the failures of these systems is essential in order to identify them and to be able to develop a working methodology to predict degradation and thus be able to maximize energy production.
In this paper we will study the behavior of a photovoltaic (PV) generator composed of two modules which are M1 and M2. Since M1 is unshaded, we focus on M2 which is shaded and work at different irradiations levels with a bypass diode failure using the Power-Voltage (P-V) characteristics. Bypass diodes are critical components in PV modules as they provide protection against the shading effect. Failure of bypass diode in short circuit reduces the PV module power, while diode failure in open circuit leaves the module susceptible for extreme hotspot heating and potentially fire hazard.
This study will enable us to be able to prematurely detect and locate these failures and thus guarantee a good efficiency in the maintenance interventions, a reduction in costs and, consequently, a better productivity by increasing the rate of availability of the installations. For that, we will simulate the electric model of a module under Psim software which is a complete modeling tool oriented towards electrical engineering and compare the results obtained with the model of the panel given by Psim library.
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References
Dhimish, M., Holmes, V., Mehrdadi, B., Dales, M., Mather, P.: Detecting defective bypass diodes in photovoltaic modules using Mamdani fuzzy logic system. Glob. J. Res. Eng. (F) Electr. Electron. Eng. 17(5), 33–44 (2017). Version 1.0
Bun, L.: Détection et localisation de défauts pour un système PV. Thèse de doctorat, Laboratoire de génie électrique de Grenoble (G2ELAB), Université de Grenoble (2011)
Shiradkar, N.: Predictive modeling for assessing the reliability of bypass diodes in photovoltaic modules. Electronic Theses and dissertations. 1401. University of Central Florida (2015). http://stars.library.ucf.edu/etd/1401
Matter, K., El-Khozondar, H.J., El-Khozondar, R.J., Suntio, T.: Matlab/Simulink modeling to study the effect of partially shaded condition on photovoltaic array’s maximum power point. Int. Res. J. Eng. Technol. 2(2), 697–703 (2015)
Silvestre, S., Boronat, A., Chouder, A.: Study of bypass diodes configuration on PV modules. Appl. Energy 86, 1632–1640 (2009)
Notton, G., Caluianu, I., Colda, I., Caluianu, S.: Influence d’un ombrage partiel sur la production électrique d’un module photovoltaïque en silicium monocristallin. Rev. Energ. Renouvelables 13(1), 49–62 (2010)
Orozco-Gutierrez, M.L., Ramirez-Scarpetta, J.M., Spagnuolo, G., Ramos-Paja, C.A.: A technique for mismatched PV array simulation. Renew. Energy 55, 417–427 (2013)
Petrone, G., Spagnuolo, G., Vitelli, M.: Analytical model of mismatched photovoltaic fields by means of Lambert W-function. Sol. Energy Mater. Sol. Cells 91, 1652–1657 (2007)
Motahhir, S., El Ghzizal, A., Sebti, S., Derouich, A.: Shading effect to energy withdrawn from the photovoltaic panel and implementation of DMPPT using C language. Int. Rev. Autom. Control (I.RE.A.CO.) 9(2), 88–94 (2016)
Villalva, M.G., Gazoli, J.R., Ruppert, E.F.: Modeling and circuit-based simulation of photovoltaic array. Braz. J. Power Electron. 14(1), 35–45 (2009)
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Zebiri, M., Mediouni, M., Idadoub, H. (2019). The Behavior of a Photovoltaic Module Under Shading, in the Presence of a Faulty Bypass Diode. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 912. Springer, Cham. https://doi.org/10.1007/978-3-030-12065-8_8
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DOI: https://doi.org/10.1007/978-3-030-12065-8_8
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