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2016 | OriginalPaper | Chapter

36. Practical Identification of the Photovoltaic Module Parameters

Authors : E. T. El Shenawy, O. N. A. Esmail, Adel A. Elbaset, Hisham F. A. Hamed

Published in: Renewable Energy in the Service of Mankind Vol II

Publisher: Springer International Publishing

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Abstract

As the amount of the energy radiated to the earth by the sun exceeds the annual energy requirement of the world population, making use of this inexhaustible energy source for our everyday electricity requirement is the great challenge of the present and the future. The generation of electric energy from the sun via photovoltaic (PV) generation is one of the most appropriate candidates in this manner. For PV applications, the accurate simulation of the PV module performance, which is an important point in the accurate design of these systems, depends mainly on the electrical parameters of the PV module (series resistance, reverse saturation current, short-circuit current temperature coefficient, and ideality factor). Also, the knowing of the effect of the ageing on the PV module performance after a certain period requires an accurate identification of these parameters. This chapter presents accurate methods to get the PV module electrical parameters depending on practical measurements for its current–voltage (I–V) characteristics under different operating conditions (different solar radiation intensity and module temperature) using an accurate data acquisition system. Then, the chapter compares the theoretical performance of the PV module using the identified parameters with the measured curves to arrive at the accurate determination of the PV module parameters.

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Literature
1.
go back to reference Khemissi L et al (2012) Low cost and high efficiency of single phase photovoltaic system based on microcontroller. Sol Energy 86:1129–1141CrossRef Khemissi L et al (2012) Low cost and high efficiency of single phase photovoltaic system based on microcontroller. Sol Energy 86:1129–1141CrossRef
2.
go back to reference Ko JS, Chung DH (2012) Control of a novel PV tracking system considering the shadow influence. J Electr Eng Technol 7(4):524–529CrossRef Ko JS, Chung DH (2012) Control of a novel PV tracking system considering the shadow influence. J Electr Eng Technol 7(4):524–529CrossRef
3.
go back to reference Mahmoud MM (2006) Transient analysis of a PV power generator charging a capacitor for measurement of the I-V characteristics. Renew Energy 31:2198–2206CrossRef Mahmoud MM (2006) Transient analysis of a PV power generator charging a capacitor for measurement of the I-V characteristics. Renew Energy 31:2198–2206CrossRef
4.
go back to reference Altas IH, Sharaf AM (1992) A fuzzy logic power tracking controller for a photovoltaic energy conversion scheme. Electr Power Res 25:227–238CrossRef Altas IH, Sharaf AM (1992) A fuzzy logic power tracking controller for a photovoltaic energy conversion scheme. Electr Power Res 25:227–238CrossRef
5.
go back to reference Ro K (1997) Two loop controller for maximizing performance of grid connected photovoltaic fuel cell hybrid power plant, Ph. D. Thesis, Virginia University, April 1997 Ro K (1997) Two loop controller for maximizing performance of grid connected photovoltaic fuel cell hybrid power plant, Ph. D. Thesis, Virginia University, April 1997
6.
go back to reference Tivanov M, Patryn A, Drozdov N, Fedotov A, Mazanik A (2005) Determination of solar cell parameters from its current-voltage and spectral characteristics. Sol Energy Mater Sol Cells 87:457–465CrossRef Tivanov M, Patryn A, Drozdov N, Fedotov A, Mazanik A (2005) Determination of solar cell parameters from its current-voltage and spectral characteristics. Sol Energy Mater Sol Cells 87:457–465CrossRef
7.
go back to reference Ortiz-Conde A, Javier F, Sanchez G, Muci J (2006) New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I-V characteristics. Sol Energy Mater Sol Cells 90:352–361CrossRef Ortiz-Conde A, Javier F, Sanchez G, Muci J (2006) New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I-V characteristics. Sol Energy Mater Sol Cells 90:352–361CrossRef
8.
go back to reference Thongpron J, Kirtikaraa K, Jivacate C (2006) A method for the determination of dynamic resistance of photovoltaic modules under illumination. Sol Energy Mater Sol Cells 90:3078–3084CrossRef Thongpron J, Kirtikaraa K, Jivacate C (2006) A method for the determination of dynamic resistance of photovoltaic modules under illumination. Sol Energy Mater Sol Cells 90:3078–3084CrossRef
9.
go back to reference Macabebe EQB, Van Dyk EE (2008) Parameter extraction from dark current-voltage characteristics of solar cells. S Afr J Sci 104:401–404 Macabebe EQB, Van Dyk EE (2008) Parameter extraction from dark current-voltage characteristics of solar cells. S Afr J Sci 104:401–404
10.
go back to reference Bencherif M, Chermitti A (2012) New method to assess the losses parameters of the photovoltaic modules. Int J Eng Adv Technol (IJEAT) 2:2249–8958 Bencherif M, Chermitti A (2012) New method to assess the losses parameters of the photovoltaic modules. Int J Eng Adv Technol (IJEAT) 2:2249–8958
11.
go back to reference The manual of the data acquisition system (PCL-711S) (1999) The manual of the data acquisition system (PCL-711S) (1999)
12.
go back to reference El-Azaly GEA (1996) Design and modernizing testing equipment for photovoltaic pannels, Ph. D. Thesis, Ain Shams University, Cairo, Egypt, 1996 El-Azaly GEA (1996) Design and modernizing testing equipment for photovoltaic pannels, Ph. D. Thesis, Ain Shams University, Cairo, Egypt, 1996
Metadata
Title
Practical Identification of the Photovoltaic Module Parameters
Authors
E. T. El Shenawy
O. N. A. Esmail
Adel A. Elbaset
Hisham F. A. Hamed
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-18215-5_36