A Novel High Accuracy PV Cell Model Including Self Heating and Parameter Variation

Aurel Gontean, Septimiu Lica, Szilard Bularka, Roland Szabo and Dan Lascu
Additional contact information
Aurel Gontean: Applied Electronics Department, Politehnica University Timisoara, Timisoara 300006, Romania
Septimiu Lica: Applied Electronics Department, Politehnica University Timisoara, Timisoara 300006, Romania
Szilard Bularka: Applied Electronics Department, Politehnica University Timisoara, Timisoara 300006, Romania
Roland Szabo: Applied Electronics Department, Politehnica University Timisoara, Timisoara 300006, Romania
Dan Lascu: Applied Electronics Department, Politehnica University Timisoara, Timisoara 300006, Romania

Energies, 2017, vol. 11, issue 1, 1-21

Abstract: This paper proposes a novel model for a PV cell with parameters variance dependency on temperature and irradiance included. The model relies on commercial available data, calculates the cell parameters for standard conditions and then extrapolates them for the whole operating range. An up-to-date review of the PV modeling is also included with series and parallel parasitic resistance values and dependencies discussed. The parameters variance is analyzed and included in the proposed PV model, where the self-heating phenomenon is also considered. Each parameter variance is compared to the results from different authors. The model includes only standard components and can be run on any SPICE-based simulator. Unlike other approaches that consider the internal temperature as a parameter, our proposal relies on air temperature as an input and computes the actual internal temperature accordingly. Finally, the model is validated via experiments and comparisons to similar approaches are provided.

Keywords: PV cell; model; simulation; SPICE; self heating; parameters variation (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: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/1/36/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/1/36/ (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:11:y:2017:i:1:p:36-:d:124251

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 ().