Evolution of the shape parameters of photovoltaic module as a function of temperature and irradiance: New method of performance prediction without setting reference conditions
The accurate characterization and prediction of current–voltage (I–V) characteristics of photovoltaic (PV) modules under different weather conditions are essential for solar power forecasting and ensuring grid stability. This paper proposed a novel method based on the power-law model (PLM) for estim...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Energy Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722019564 |
| _version_ | 1828010987113938944 |
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| author | Hao Lu Yunpeng Zhang Peng Hao Jiao Ma Li Zhang Tingkun Gu Ming Yang |
| author_facet | Hao Lu Yunpeng Zhang Peng Hao Jiao Ma Li Zhang Tingkun Gu Ming Yang |
| author_sort | Hao Lu |
| collection | DOAJ |
| description | The accurate characterization and prediction of current–voltage (I–V) characteristics of photovoltaic (PV) modules under different weather conditions are essential for solar power forecasting and ensuring grid stability. This paper proposed a novel method based on the power-law model (PLM) for estimating PV module performance under different weather conditions without setting reference conditions. The effects of solar irradiance, ambient temperature, and module types are all fully considered. The dependence of shape parameters in PLM on irradiance and temperature are thoroughly investigated and the effect of the selection of reference conditions is eliminated by modifying a set of new transforming equations. The parameters of the new transforming equations can be extracted from experimental data by an optimization algorithm. Due to the advantages of PLM, the proposed method applies to any type of PV module and the I–V characteristics can be expressed explicitly without Lambert W-function or iterative solution. The effectiveness and accuracy proposed method are verified and tested on the large datasets of eighteen PV modules in three locations. Compared with existing methods, the proposed method shows higher accuracy and better performance in the estimation of I–V characteristics and maximum power under different weather conditions. |
| first_indexed | 2024-04-10T09:08:22Z |
| format | Article |
| id | doaj.art-00d95a455b804024bddc49fb0a2e93e5 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T09:08:22Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-00d95a455b804024bddc49fb0a2e93e52023-02-21T05:14:03ZengElsevierEnergy Reports2352-48472022-11-0181385913875Evolution of the shape parameters of photovoltaic module as a function of temperature and irradiance: New method of performance prediction without setting reference conditionsHao Lu0Yunpeng Zhang1Peng Hao2Jiao Ma3Li Zhang4Tingkun Gu5Ming Yang6School of Electrical Engineering, Shandong University, Jinan, ChinaCorresponding author.; School of Electrical Engineering, Shandong University, Jinan, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaThe accurate characterization and prediction of current–voltage (I–V) characteristics of photovoltaic (PV) modules under different weather conditions are essential for solar power forecasting and ensuring grid stability. This paper proposed a novel method based on the power-law model (PLM) for estimating PV module performance under different weather conditions without setting reference conditions. The effects of solar irradiance, ambient temperature, and module types are all fully considered. The dependence of shape parameters in PLM on irradiance and temperature are thoroughly investigated and the effect of the selection of reference conditions is eliminated by modifying a set of new transforming equations. The parameters of the new transforming equations can be extracted from experimental data by an optimization algorithm. Due to the advantages of PLM, the proposed method applies to any type of PV module and the I–V characteristics can be expressed explicitly without Lambert W-function or iterative solution. The effectiveness and accuracy proposed method are verified and tested on the large datasets of eighteen PV modules in three locations. Compared with existing methods, the proposed method shows higher accuracy and better performance in the estimation of I–V characteristics and maximum power under different weather conditions.http://www.sciencedirect.com/science/article/pii/S2352484722019564Photovoltaic modulesPerformance estimationPower law modelOptimization algorithm |
| spellingShingle | Hao Lu Yunpeng Zhang Peng Hao Jiao Ma Li Zhang Tingkun Gu Ming Yang Evolution of the shape parameters of photovoltaic module as a function of temperature and irradiance: New method of performance prediction without setting reference conditions Energy Reports Photovoltaic modules Performance estimation Power law model Optimization algorithm |
| title | Evolution of the shape parameters of photovoltaic module as a function of temperature and irradiance: New method of performance prediction without setting reference conditions |
| title_full | Evolution of the shape parameters of photovoltaic module as a function of temperature and irradiance: New method of performance prediction without setting reference conditions |
| title_fullStr | Evolution of the shape parameters of photovoltaic module as a function of temperature and irradiance: New method of performance prediction without setting reference conditions |
| title_full_unstemmed | Evolution of the shape parameters of photovoltaic module as a function of temperature and irradiance: New method of performance prediction without setting reference conditions |
| title_short | Evolution of the shape parameters of photovoltaic module as a function of temperature and irradiance: New method of performance prediction without setting reference conditions |
| title_sort | evolution of the shape parameters of photovoltaic module as a function of temperature and irradiance new method of performance prediction without setting reference conditions |
| topic | Photovoltaic modules Performance estimation Power law model Optimization algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722019564 |
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