A NOVEL METHOD BASED ON BISECTION SEARCH ALGORITHM FOR EXTRACTING THE REFERENCE PARAMETERS OF PV MODULES

Year 2019, Volume: 5 Issue: 2, 81 - 90, 11.12.2019

Ceyhun Kapucu Mete Çubukçu

https://doi.org/10.22531/muglajsci.602222

Abstract

Manufacturers
generally share datasheet values of photovoltaic (PV) modules at only standard
test conditions (STC). These conditions enable PV modules to generate high
power but are rarely encountered in the real environment. Therefore, accurate
modeling of PV modules is very important in terms of estimating the energy that
can be obtained under all operating conditions. Many studies have been
conducted in this field in the literature. In this study, a new method is
proposed for the implementation of the commonly used five-parameter model. This
new method uses a bisection search algorithm for calculating the value of the
series resistance, which is one of the five parameters, and thus extracting the
other parameters. The datasheet values provided by the manufacturers are
sufficient for obtaining the series resistance and therefore other parameters.
The accuracy of the method was first tested by comparing the datasheet values of
the three different PV modules with the outputs of the proposed method.
Finally, the simulation accuracy of the proposed method for different operating
conditions was tested by comparing the real measurement data collected by the
National Renewable Energy Laboratory (NREL) with the outputs of the method
under the same operating conditions. The results show that the proposed method
demonstrates good agreement with both datasheet values and real measurement
data. The method offers a good balance of simplicity-accuracy.

Keywords

Photovoltaic modelling, Bisection search algorithm, Five-parameter model

References

• J. Duffie and W. Beckman, “Solar Engineering of Thermal Processes, 2th ed.,” p. 919, 1991.
• M. A. De Blas, J. L. Torres, E. Prieto, and A. García, “Selecting a suitable model for characterizing photovoltaic devices,” Renew. Energy, vol. 25, no. 3, pp. 371–380, 2002.
• A. N. Celik and N. Acikgoz, “Modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models,” Appl. Energy, vol. 84, no. 1, pp. 1–15, 2007.
• M. Villalva, J. Gazoli, and E. Filho, “Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays,” IEEE Trans. Power Electron., vol. 24, no. 5, pp. 1198–1208, 2009.
• V. Lo Brano, A. Orioli, G. Ciulla, and A. Di Gangi, “An improved five-parameter model for photovoltaic modules,” Sol. Energy Mater. Sol. Cells, vol. 94, no. 8, pp. 1358–1370, 2010.
• A. Chouder, S. Silvestre, N. Sadaoui, and L. Rahmani, “Modeling and simulation of a grid connected PV system based on the evaluation of main PV module parameters,” Simul. Model. Pract. Theory, vol. 20, no. 1, pp. 46–58, 2012.
• A. Orioli and A. Di Gangi, “A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data,” Appl. Energy, vol. 102, pp. 1160–1177, 2013.
• J. Y. Park and S. J. Choi, “A novel datasheet-based parameter extraction method for a single-diode photovoltaic array model,” Sol. Energy, vol. 122, pp. 1235–1244, 2015.
• G. Wang et al., “An iterative approach for modeling photovoltaic modules without implicit equations,” Appl. Energy, vol. 202, pp. 189–198, 2017.
• F. Rasool, M. Drieberg, N. Badruddin, and B. S. Mahinder Singh, “PV panel modeling with improved parameter extraction technique,” Sol. Energy, vol. 153, pp. 519–530, 2017.
• J. Y. Park and S. J. Choi, “A novel simulation model for PV panels based on datasheet parameter tuning,” Sol. Energy, vol. 145, pp. 90–98, 2017.
• Y. Chaibi, M. Salhi, A. El-jouni, and A. Essadki, “A new method to extract the equivalent circuit parameters of a photovoltaic panel,” Sol. Energy, vol. 163, no. January, pp. 376–386, 2018.
• W. De Soto, S. A. Klein, and W. A. Beckman, “Improvement and validation of a model for photovoltaic array performance,” Sol. Energy, vol. 80, no. 1, pp. 78–88, 2006.
• J. Bai, S. Liu, Y. Hao, Z. Zhang, M. Jiang, and Y. Zhang, “Development of a new compound method to extract the five parameters of PV modules,” Energy Convers. Manag., vol. 79, pp. 294–303, 2014.
• E. I. Batzelis and S. A. Papathanassiou, “A Method for the Analytical Extraction of the Single-Diode PV Model Parameters,” IEEE Trans. Sustain. Energy, vol. 7, no. 2, pp. 504–512, 2016.
• V. J. Chin, Z. Salam, and K. Ishaque, “Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review,” Appl. Energy, vol. 154, no. September, pp. 500–519, 2015.
• A. H. Arab, F. Chenlo, K. Mukadam, and J. L. Balenzategui, “Performance of PV water pumping systems,” Renew. Energy, vol. 18, no. 2, pp. 191–204, 1999.
• G. Ciulla, V. Lo Brano, V. Di Dio, and G. Cipriani, “A comparison of different one-diode models for the representation of I-V characteristic of a PV cell,” Renew. Sustain. Energy Rev., vol. 32, pp. 684–696, 2014.
• A. R. Jordehi, “Parameter estimation of solar photovoltaic (PV) cells: A review,” Renew. Sustain. Energy Rev., vol. 61, pp. 354–371, 2016.
• G. Walker, “Evaluating Mppt Converter Topologies Using a Matlab Pv Model,” J. Electr. Electron. Eng., vol. 21, no. 1, pp. 49–56, 2001.
• G. Wang, K. Zhao, T. Qiu, X. Yang, Y. Zhang, and Y. Zhao, “The error analysis of the reverse saturation current of the diode in the modeling of photovoltaic modules,” Energy, vol. 115, pp. 478–485, 2016.
• “Matlab.” Mathworks, 2017.
• “KC200GT Datasheet,” Kyocerasolar.com, 2018. [Online]. Available: https://www.kyocerasolar.com/dealers/product-center/archives/spec-sheets/KC200GT.pdf. [Accessed: 20-Mar-2018].
• “SP70 Datasheet,” solenerg.com.br, 2018. [Online]. Available: http://www.solenerg.com.br/files/SP70.pdf. [Accessed: 20-Mar-2018].
• “ST40 Datasheet,” atlantasolar.com, 2018. [Online]. Available: http://www.atlantasolar.com/pdf/Shell/ShellST40_USv1.pdf. [Accessed: 20-Mar-2018].