A simple method for extracting the parameters of the PV cell single-diode model. (December 2017)
- Record Type:
- Journal Article
- Title:
- A simple method for extracting the parameters of the PV cell single-diode model. (December 2017)
- Main Title:
- A simple method for extracting the parameters of the PV cell single-diode model
- Authors:
- Rhouma, Mohamed B.H.
Gastli, Adel
Ben Brahim, Lazhar
Touati, Farid
Benammar, Mohieddine - Abstract:
- Abstract: This paper aims to simplify the parameters' extraction for the solar cell single diode model and to show that there are many solutions. The proposed algorithm considers many pairs of ideality factor and series resistance. For each pair, it finds the other three corresponding parameters using any three arbitrary points of the I-V curve by simply solving 3 × 3 linear system of equations. Each set of parameters is used to simulate an I-V curve. The deviation of simulated curve from the experimental one is assessed by calculating the root mean square error (RMSE). Finally, the best set of five parameters is selected according to its smallest RMSE value. A large set of combinations of the five parameters that yield quasi-identical I-V curves was obtained. This is well in line with previous studies reporting wide variations in some parameters including unrealistic values. The proposed method was validated with real experimental data, which showed excellent fits to I-V curves measured under various operating conditions. Compared to other methods, the proposed algorithm uses a single I-V curve and does not make any assumptions on the parameters. Moreover, the calculations do not use any slopes and do not depend on specific points of the curve. Highlights: Proposing simple parameters extraction method based on single I-V curve measurement. Proving that there are many different solutions to extracting solar cell parameters. Unlike other techniques, the proposed method is notAbstract: This paper aims to simplify the parameters' extraction for the solar cell single diode model and to show that there are many solutions. The proposed algorithm considers many pairs of ideality factor and series resistance. For each pair, it finds the other three corresponding parameters using any three arbitrary points of the I-V curve by simply solving 3 × 3 linear system of equations. Each set of parameters is used to simulate an I-V curve. The deviation of simulated curve from the experimental one is assessed by calculating the root mean square error (RMSE). Finally, the best set of five parameters is selected according to its smallest RMSE value. A large set of combinations of the five parameters that yield quasi-identical I-V curves was obtained. This is well in line with previous studies reporting wide variations in some parameters including unrealistic values. The proposed method was validated with real experimental data, which showed excellent fits to I-V curves measured under various operating conditions. Compared to other methods, the proposed algorithm uses a single I-V curve and does not make any assumptions on the parameters. Moreover, the calculations do not use any slopes and do not depend on specific points of the curve. Highlights: Proposing simple parameters extraction method based on single I-V curve measurement. Proving that there are many different solutions to extracting solar cell parameters. Unlike other techniques, the proposed method is not based on any assumption. Showing that extraction of parameters could be reduced to a two-dimensional space. … (more)
- Is Part Of:
- Renewable energy. Volume 113(2017)
- Journal:
- Renewable energy
- Issue:
- Volume 113(2017)
- Issue Display:
- Volume 113, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 113
- Issue:
- 2017
- Issue Sort Value:
- 2017-0113-2017-0000
- Page Start:
- 885
- Page End:
- 894
- Publication Date:
- 2017-12
- Subjects:
- Photovoltaics -- PV cell -- Single-diode model -- Parameters extraction -- Non-unique solution
Renewable energy sources -- Periodicals
Power resources -- Periodicals
Énergies renouvelables -- Périodiques
Ressources énergétiques -- Périodiques
333.794 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09601481 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/renewable-energy/ ↗ - DOI:
- 10.1016/j.renene.2017.06.064 ↗
- Languages:
- English
- ISSNs:
- 0960-1481
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7364.187000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16953.xml