Performance comparison of exponential, Lambert W function and Special Trans function based single diode solar cell models

•The three models are compared in terms of fitness and parameter extraction.•The fitness difference of the three models is verified by reported parameter values.•Special Trans function-based model exhibits the best fitness to various solar cells.•A novel MNMS algorithm is proposed to test the parame...

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Veröffentlicht in:Energy conversion and management 2018-09, Vol.171, p.1822-1842
Hauptverfasser: Gao, Xiankun, Cui, Yan, Hu, Jianjun, Tahir, Nadeem, Xu, Guangyin
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container_end_page 1842
container_issue
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container_title Energy conversion and management
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creator Gao, Xiankun
Cui, Yan
Hu, Jianjun
Tahir, Nadeem
Xu, Guangyin
description •The three models are compared in terms of fitness and parameter extraction.•The fitness difference of the three models is verified by reported parameter values.•Special Trans function-based model exhibits the best fitness to various solar cells.•A novel MNMS algorithm is proposed to test the parameter extraction performance.•Results extracted from Special Trans function-based model are the most accurate. Accurate modeling plays an important role in solar cell simulation. In order to reveal the applicability and superiority of Special Trans function based single diode model (SBSDM), this paper presents a comprehensive comparison of SBSDM, Lambert W function based single diode model (LBSDM) and exponential-type single diode model (SDM). The performance difference of SBSDM, LBSDM and SDM is verified and compared in two aspects: (1) different fitness to the measured I–V data of solar cells and (2) different parameter extraction performance. To be objective and reproducible, the reported parameter values of standard datasets and measured datasets are employed to validate the fitness difference of the three models. The comparison results indicate that SBSDM always exhibits better fitness than LBSDM and SDM in representing the I–V characteristics of various solar cells and can provide a closer prediction to actual maximum power points. With the help of a ranking based branch selection strategy, a modified Nelder-Mead simplex (MNMS) algorithm is proposed to test the parameter extraction performance of SBSDM, LBSDM and SDM. The comparison results reveal that the time computational efficiency of SBSDM is inferior to SDM but superior to LBSDM. SBSDM always achieves superior accuracy and convergence speed than LBSDM and SDM, although lacking enough statistical robustness. Due to these superiorities, SBSDM is quite promising and envisaged to be the most valuable model for solar cell parameter extraction and PV system simulation.
doi_str_mv 10.1016/j.enconman.2018.06.106
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Accurate modeling plays an important role in solar cell simulation. In order to reveal the applicability and superiority of Special Trans function based single diode model (SBSDM), this paper presents a comprehensive comparison of SBSDM, Lambert W function based single diode model (LBSDM) and exponential-type single diode model (SDM). The performance difference of SBSDM, LBSDM and SDM is verified and compared in two aspects: (1) different fitness to the measured I–V data of solar cells and (2) different parameter extraction performance. To be objective and reproducible, the reported parameter values of standard datasets and measured datasets are employed to validate the fitness difference of the three models. The comparison results indicate that SBSDM always exhibits better fitness than LBSDM and SDM in representing the I–V characteristics of various solar cells and can provide a closer prediction to actual maximum power points. With the help of a ranking based branch selection strategy, a modified Nelder-Mead simplex (MNMS) algorithm is proposed to test the parameter extraction performance of SBSDM, LBSDM and SDM. The comparison results reveal that the time computational efficiency of SBSDM is inferior to SDM but superior to LBSDM. SBSDM always achieves superior accuracy and convergence speed than LBSDM and SDM, although lacking enough statistical robustness. Due to these superiorities, SBSDM is quite promising and envisaged to be the most valuable model for solar cell parameter extraction and PV system simulation.</description><identifier>ISSN: 0196-8904</identifier><identifier>EISSN: 1879-2227</identifier><identifier>DOI: 10.1016/j.enconman.2018.06.106</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Algorithms ; Cell culture ; Computer applications ; Computer simulation ; Computing time ; Datasets ; Diodes ; Fitness ; Lambert W function ; Mathematical models ; Maximum power ; Parameter extraction ; Parameter modification ; Photovoltaic cells ; Single diode model ; Solar cell ; Solar cells ; Special Trans function</subject><ispartof>Energy conversion and management, 2018-09, Vol.171, p.1822-1842</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. 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Accurate modeling plays an important role in solar cell simulation. In order to reveal the applicability and superiority of Special Trans function based single diode model (SBSDM), this paper presents a comprehensive comparison of SBSDM, Lambert W function based single diode model (LBSDM) and exponential-type single diode model (SDM). The performance difference of SBSDM, LBSDM and SDM is verified and compared in two aspects: (1) different fitness to the measured I–V data of solar cells and (2) different parameter extraction performance. To be objective and reproducible, the reported parameter values of standard datasets and measured datasets are employed to validate the fitness difference of the three models. The comparison results indicate that SBSDM always exhibits better fitness than LBSDM and SDM in representing the I–V characteristics of various solar cells and can provide a closer prediction to actual maximum power points. With the help of a ranking based branch selection strategy, a modified Nelder-Mead simplex (MNMS) algorithm is proposed to test the parameter extraction performance of SBSDM, LBSDM and SDM. The comparison results reveal that the time computational efficiency of SBSDM is inferior to SDM but superior to LBSDM. SBSDM always achieves superior accuracy and convergence speed than LBSDM and SDM, although lacking enough statistical robustness. 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Accurate modeling plays an important role in solar cell simulation. In order to reveal the applicability and superiority of Special Trans function based single diode model (SBSDM), this paper presents a comprehensive comparison of SBSDM, Lambert W function based single diode model (LBSDM) and exponential-type single diode model (SDM). The performance difference of SBSDM, LBSDM and SDM is verified and compared in two aspects: (1) different fitness to the measured I–V data of solar cells and (2) different parameter extraction performance. To be objective and reproducible, the reported parameter values of standard datasets and measured datasets are employed to validate the fitness difference of the three models. The comparison results indicate that SBSDM always exhibits better fitness than LBSDM and SDM in representing the I–V characteristics of various solar cells and can provide a closer prediction to actual maximum power points. 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source Elsevier ScienceDirect Journals
subjects Algorithms
Cell culture
Computer applications
Computer simulation
Computing time
Datasets
Diodes
Fitness
Lambert W function
Mathematical models
Maximum power
Parameter extraction
Parameter modification
Photovoltaic cells
Single diode model
Solar cell
Solar cells
Special Trans function
title Performance comparison of exponential, Lambert W function and Special Trans function based single diode solar cell models
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