Simple, fast and accurate two-diode model for photovoltaic modules

Ishaque, Kashif; Salam, Zainal; Taheri, Hamed

doi:10.1016/j.solmat.2010.09.023

Cited by 549 publications

(269 citation statements)

References 24 publications

(45 reference statements)

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“…Other methods apply curve fitting method to some assumed functional relationship or employ integration procedures based on the computation of the area under the I-V curves or use linear regression. It is also possible to predict PV module performance under illumination through a several numerical or algebraic methods [13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Performance of CIS Photovoltaic Modules under Different Environmental Conditions

Kandil¹,

Altouq²,

Al-asaad³

et al. 2011

SGRE

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Section: Introductionmentioning

confidence: 99%

Investigation of the Performance of CIS Photovoltaic Modules under Different Environmental Conditions

Kandil¹,

Altouq²,

Al-asaad³

et al. 2011

SGRE

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“…The authors in [12], [13], and [28] employed the curve-inspecting method, which is an exhaustive search method, to find the MPP of the I − V curve. This algorithm solves the transcendental Eq.…”

Section: The Proposed Mpp Estimation Algorithmmentioning

confidence: 99%

“…Unlike the identification methods in [13] and [12], the proposed method does not require an initial guess for the ideality factor. The execution time is independent of the parameters resolution and the method can be terminated in the middle of the execution according to the accuracy-time trade-offs and having the sub-optimal solution.…”

Section: Step1: Initializationmentioning

confidence: 99%

“…The PV module consists of several PV cells connected together in series. Although the double-diode circuit provides better modeling of the loss in the depletion region caused by the recombination of carriers [11]- [12], the single-diode model still offers a good compromise between accuracy and simplicity [13]. A PV array, which is a combination of several photovoltaic modules in series and parallel arrangement, can be modeled with the same circuit, too.…”

Section: Introductionmentioning

confidence: 99%

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An accurate method for the PV model identification based on a genetic algorithm and the interior-point method

2014

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Citation: Dizqah, Arash, Maheri, Alireza and Busawon, Krishna (2014) Northumbria University has developed Northumbria Research Link (NRL) to enable users to access the University's research output. Copyright © and moral rights for items on NRL are retained by the individual author(s) and/or other copyright owners. Single copies of full items can be reproduced, displayed or performed, and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided the authors, title and full bibliographic details are given, as well as a hyperlink and/or URL to the original metadata page. The content must not be changed in any way. Full items must not be sold commercially in any format or medium without formal permission of the copyright holder. The full policy is available online: http://nrl.northumbria.ac.uk/policies.html This document may differ from the final, published version of the research and has been made available online in accordance with publisher policies. To read and/or cite from the published version of the research, please visit the publisher's website (a subscription may be required.) An Accurate Method for the PV Model Identification Based on a GeneticAlgorithm and the Interior-Point Method AbstractDue to the PV module simulation requirements as well as recent applications of model-based controllers, the accurate photovoltaic (PV) model identification method is becoming essential to reduce the PV power losses effectively. The classical PV model identification methods use the manufacturers provided maximum power point (MPP) at the standard test condition (STC). However, the nominal operating cell temperature (NOCT) is the more practical condition and it is shown that the extracted model is not well suited to it. The proposed method in this paper estimates an accurate equivalent electrical circuit for the PV modules using both the STC and NOCT information provided by the manufacturers. A multi-objective global optimization problem is formulated using only the main equation of the PV module at these two conditions that restrains the errors due to employing the experimental temperature coefficients. A novel combination of a genetic algorithm (GA) and the interior-point method (IPM) allows the proposed method to be fast and accurate regardless the PV technology. It is shown that the overall error, which is defined by the sum of the MPP errors of both the STC and the NOCT conditions, is improved by a factor between 5.1% to 31% depending on the PV technology.

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“…In this paper, we have developed our model presented in [15] using an improved modeling technique for the twodiode model suggested by Ishaque et al [16] and by adding a new technique of calculating the real absorbed irradiation by three different photovoltaic module technologies: monocrystalline, amorphous and micromorphous silicon PV modules.…”

Section: Introductionmentioning

confidence: 99%

Outdoor performance modeling of three different silicon photovoltaic module technologies

Meflah

Rahmoun

Mahrane

et al. 2017

Int J Energy Environ Eng

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The accuracy of a two-diode model for three different photovoltaic module technologies, namely monocrystalline, amorphous and micromorphous silicon, has been investigated in this paper. The I-V and the P-V characteristics for each type of module were simulated using the specifications given by the module's manufacturer in their datasheet at standard tests conditions. An accurate technique was used for calculating the corresponding irradiation absorbed by each module type. To validate the model, a comparison between the simulation results and the experimental data obtained for each PV module type tested in outdoor conditions for a sunny and a cloudy day has been carried out. A good agreement was found between the calculated and measured data, both for the I-V and the P-V curves and the characteristic points (I sc , V oc , I mpp , V mpp ) under simultaneous variation of temperature and irradiation.

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Simple, fast and accurate two-diode model for photovoltaic modules

Cited by 549 publications

References 24 publications

Investigation of the Performance of CIS Photovoltaic Modules under Different Environmental Conditions

Investigation of the Performance of CIS Photovoltaic Modules under Different Environmental Conditions

An accurate method for the PV model identification based on a genetic algorithm and the interior-point method

Outdoor performance modeling of three different silicon photovoltaic module technologies

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