EconPapers    
Economics at your fingertips  
 

A New Reduced Form for Real-Time Identification of PV Panels Operating Under Arbitrary Conditions

Kawtar Tifidat, Noureddine Maouhoub and Abdelaaziz Benahmida
Additional contact information
Kawtar Tifidat: Faculty of Sciences, Ibn Zohr University, Morocco
Noureddine Maouhoub: Faculty of Sciences, Ibn Zohr University, Morocco
Abdelaaziz Benahmida: Faculty of Sciences, Ibn Zohr University, Morocco

International Journal of Energy Optimization and Engineering (IJEOE), 2022, vol. 11, issue 2, 1-23

Abstract: In this work, an efficient solution based on the reducing forms approach is presented to extract the five parameters of the single-diode model of PV generators from their I-V curves. Thus, by reducing the number of the five unknown parameters to two unknowns, the analytical expression of the current based on the LambertW function will then depend only on the ideality factor and the series resistance, as the two unknowns to predict numerically using the non-linear least square technique. The three other parameters are calculated as functions of the two predicted parameters using a linear system of three equations. Two sets of experiments are used for the validation of the proposed approach, which first showed its rapidity and high accuracy compared to the best approaches from the literature. Then, the method was applied for the real-time identification of four PV modules operating outdoors during one reference day at Cocoa (Florida).

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEOE.309415 (application/pdf)

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:igg:jeoe00:v:11:y:2022:i:2:p:1-23

Access Statistics for this article

International Journal of Energy Optimization and Engineering (IJEOE) is currently edited by Jose Marmolejo-Saucedo

More articles in International Journal of Energy Optimization and Engineering (IJEOE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().

 
Page updated 2025-03-19
Handle: RePEc:igg:jeoe00:v:11:y:2022:i:2:p:1-23