EconPapers    
Economics at your fingertips  
 

Single-Diode Models of PV Modules: A Comparison of Conventional Approaches and Proposal of a Novel Model

Tuyen Nguyen-Duc, Huy Nguyen-Duc, Thinh Le-Viet and Hirotaka Takano
Additional contact information
Tuyen Nguyen-Duc: Power System Department, Hanoi University of Science and Technology, Hanoi 11615, Vietnam
Huy Nguyen-Duc: Power System Department, Hanoi University of Science and Technology, Hanoi 11615, Vietnam
Thinh Le-Viet: Power System Department, Hanoi University of Science and Technology, Hanoi 11615, Vietnam
Hirotaka Takano: Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan

Energies, 2020, vol. 13, issue 6, 1-22

Abstract: In this paper, the seven traditional models of photovoltaic (PV) modules are reviewed comprehensively to find out the appropriate model for reliability. All the models are validated using the Matlab code and graphical comparisons between models are made. The accuracy and convergence of each model is evaluated using the data of manufactured PV panels. Then, a novel model is proposed showing its consistent performance. The three most key parameters of the single-diode model are self-revised to adapt to various types of PV modules. This new method is verified in three types of PV panels’ data measured by the National Renewable Energy Laboratory (NREL), USA. The validated data show promising results when the error RMSEs’ range of the proposed model is under 0.36.

Keywords: single-diode model; five-parameter model; photovoltaic panels; analytics method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/6/1296/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/6/1296/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:6:p:1296-:d:330979

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1296-:d:330979