An analytical-iterative method for accurate parameter estimation of the single-diode model in photovoltaic modules: Application to monocrystalline and polycrystalline modules under various environmental conditions

This article presents a methodology, both analytical and iterative, aimed at estimating the five parameters of the single-diode model for photovoltaic modules. This approach, devoid of preliminary external measurements and based on minimal available information, enables the complete determination of parameters without resorting to prior estimations. Its principle lies in the analytical estimation of the photocurrent (Iphn), reverse saturation current of the diode (Ion), and shunt resistance (Rshn) under standard test conditions. Simultaneously, the ideality factor of the diode (an) and series resistance (Rsn) are obtained through a two-dimensional iterative process. A reformulation of parameters under normal conditions accounts for the impact of metrological conditions. Applied to SP140 monocrystalline and S75 polycrystalline modules, this method demonstrates notable precision, assessed using criteria such as root mean square error and relative error, compared to other approaches. These results underscore the reliability of this methodology for precise modeling of photovoltaic behavior, highlighting its potential for design, optimization, and prediction of photovoltaic system performance.

Authors

Publication Details

Journal
Green Energy and Intelligent Transportation
Published
2025-03-14
DOI
https://doi.org/10.1016/j.geits.2025.100285
Citations
12
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
4.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An analytical-iterative method for accurate parameter estimation of the single-diode model in photovoltaic modules: Application to monocrystalline and polycrystalline modules under various environmental conditions

Abdelfattah Elhammoudy, Souad Lidaighbi, Driss Saadaoui, Mustapha Elyaqouti et al.
12 citations
Green Energy and Intelligent Transportation
Photovoltaic System Optimization Techniques
4.36
article

An analytical-iterative method for accurate parameter estimation of the single-diode model in photovoltaic modules: Application to monocrystalline and polycrystalline modules under various environmental conditions

Abdelfattah Elhammoudy, Souad Lidaighbi, Driss Saadaoui, Mustapha Elyaqouti, Elhanafi Arjdal, Dris Ben Hmamou, Brahim Ydir, Imade Choulli, Ismail Abazine
article en
12 citations

Abstract

This article presents a methodology, both analytical and iterative, aimed at estimating the five parameters of the single-diode model for photovoltaic modules. This approach, devoid of preliminary external measurements and based on minimal available information, enables the complete determination of parameters without resorting to prior estimations. Its principle lies in the analytical estimation of the photocurrent (Iphn), reverse saturation current of the diode (Ion), and shunt resistance (Rshn) under standard test conditions. Simultaneously, the ideality factor of the diode (an) and series resistance (Rsn) are obtained through a two-dimensional iterative process. A reformulation of parameters under normal conditions accounts for the impact of metrological conditions. Applied to SP140 monocrystalline and S75 polycrystalline modules, this method demonstrates notable precision, assessed using criteria such as root mean square error and relative error, compared to other approaches. These results underscore the reliability of this methodology for precise modeling of photovoltaic behavior, highlighting its potential for design, optimization, and prediction of photovoltaic system performance.

Green Energy and Intelligent TransportationVol. 5(1)
Openalex Percentile: Top 5%
Photovoltaic System Optimization Techniques
4.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.