Forecasting photovoltaic array power production subject to mismatch losses
The development of photovoltaic (PV) energy throughout the world this last decade has brought to light the presence of module mismatch losses in most PV applications. Such power losses, mainly occasioned by partial shading of arrays and differences in PV modules, can be reduced by changing module in...
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| Vydáno v: | Solar energy Ročník 84; číslo 7; s. 1301 - 1309 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Kidlington
Elsevier Ltd
01.07.2010
Elsevier Pergamon Press Inc |
| Témata: | |
| ISSN: | 0038-092X, 1471-1257 |
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| Abstract | The development of photovoltaic (PV) energy throughout the world this last decade has brought to light the presence of module mismatch losses in most PV applications. Such power losses, mainly occasioned by partial shading of arrays and differences in PV modules, can be reduced by changing module interconnections of a solar array. This paper presents a novel method to forecast existing PV array production in diverse environmental conditions. In this approach, field measurement data is used to identify module parameters once and for all. The proposed method simulates PV arrays with adaptable module interconnection schemes in order to reduce mismatch losses. The model has been validated by experimental results taken on a 2.2
kW
p plant, with three different interconnection schemes, which show reliable power production forecast precision in both partially shaded and normal operating conditions. Field measurements show interest in using alternative plant configurations in PV systems for decreasing module mismatch losses. |
|---|---|
| AbstractList | The development of photovoltaic (PV) energy throughout the world this last decade has brought to light the presence of module mismatch losses in most PV applications. Such power losses, mainly occasioned by partial shading of arrays and differences in PV modules, can be reduced by changing module interconnections of a solar array. This paper presents a novel method to forecast existing PV array production in diverse environmental conditions. In this approach, field measurement data is used to identify module parameters once and for all. The proposed method simulates PV arrays with adaptable module interconnection schemes in order to reduce mismatch losses. The model has been validated by experimental results taken on a 2.2 kW{sub p} plant, with three different interconnection schemes, which show reliable power production forecast precision in both partially shaded and normal operating conditions. Field measurements show interest in using alternative plant configurations in PV systems for decreasing module mismatch losses. (author) The development of photovoltaic (PV) energy throughout the world this last decade has brought to light the presence of module mismatch losses in most PV applications. Such power losses, mainly occasioned by partial shading of arrays and differences in PV modules, can be reduced by changing module interconnections of a solar array. This paper presents a novel method to forecast existing PV array production in diverse environmental conditions. In this approach, field measurement data is used to identify module parameters once and for all. The proposed method simulates PV arrays with adaptable module interconnection schemes in order to reduce mismatch losses. The model has been validated by experimental results taken on a 2.2 kW sub(p) plant, with three different interconnection schemes, which show reliable power production forecast precision in both partially shaded and normal operating conditions. Field measurements show interest in using alternative plant configurations in PV systems for decreasing module mismatch losses. The development of photovoltaic (PV) energy throughout the world this last decade has brought to light the presence of module mismatch losses in most PV applications. Such power losses, mainly occasioned by partial shading of arrays and differences in PV modules, can be reduced by changing module interconnections of a solar array. This paper presents a novel method to forecast existing PV array production in diverse environmental conditions. In this approach, field measurement data is used to identify module parameters once and for all. The proposed method simulates PV arrays with adaptable module interconnection schemes in order to reduce mismatch losses. The model has been validated by experimental results taken on a 2.2 kW... plant, with three different interconnection schemes, which show reliable power production forecast precision in both partially shaded and normal operating conditions. Field measurements show interest in using alternative plant configurations in PV systems for decreasing module mismatch losses. (ProQuest: ... denotes formulae/symbols omitted.) The development of photovoltaic (PV) energy throughout the world this last decade has brought to light the presence of module mismatch losses in most PV applications. Such power losses, mainly occasioned by partial shading of arrays and differences in PV modules, can be reduced by changing module interconnections of a solar array. This paper presents a novel method to forecast existing PV array production in diverse environmental conditions. In this approach, field measurement data is used to identify module parameters once and for all. The proposed method simulates PV arrays with adaptable module interconnection schemes in order to reduce mismatch losses. The model has been validated by experimental results taken on a 2.2 kW p plant, with three different interconnection schemes, which show reliable power production forecast precision in both partially shaded and normal operating conditions. Field measurements show interest in using alternative plant configurations in PV systems for decreasing module mismatch losses. |
| Author | Raison, B. de la Casa, J. Aguilera, J. Bacha, S. Picault, D. |
| Author_xml | – sequence: 1 givenname: D. surname: Picault fullname: Picault, D. email: damien.picault@g2elab.grenoble-inp.fr organization: Grenoble Electrical Engineering Laboratory (G2Elab), 961, rue Houille Blanche BP 46, 38402 St Martin d’Hères, France – sequence: 2 givenname: B. surname: Raison fullname: Raison, B. email: bertrand.raison@g2elab.grenoble-inp.fr organization: Grenoble Electrical Engineering Laboratory (G2Elab), 961, rue Houille Blanche BP 46, 38402 St Martin d’Hères, France – sequence: 3 givenname: S. surname: Bacha fullname: Bacha, S. email: bacha.seddik@g2elab.grenoble-inp.fr organization: Grenoble Electrical Engineering Laboratory (G2Elab), 961, rue Houille Blanche BP 46, 38402 St Martin d’Hères, France – sequence: 4 givenname: J. surname: de la Casa fullname: de la Casa, J. organization: Grupo de Investigación IDEA, Departamento de Electrónica, Escuela Politécnica Superior, Universidad de Jaén, Campus Las Lagunillas, 23071 Jaén, Spain – sequence: 5 givenname: J. surname: Aguilera fullname: Aguilera, J. organization: Grupo de Investigación IDEA, Departamento de Electrónica, Escuela Politécnica Superior, Universidad de Jaén, Campus Las Lagunillas, 23071 Jaén, Spain |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22895632$$DView record in Pascal Francis https://hal.science/hal-00488003$$DView record in HAL https://www.osti.gov/biblio/21328663$$D View this record in Osti.gov |
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| Keywords | Interconnection scheme Mismatch losses Photovoltaic array modelling Interconnection Power production Photovoltaic array Power losses Photovoltaic system Modeling Shadowing Forecasting Operating conditions |
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| SubjectTerms | ACCURACY Applied sciences Arrays CONFIGURATION Electric power Energy Engineering Sciences Environmental conditions Equipments, installations and applications Exact sciences and technology FORECASTING Interconnection scheme Interconnection schemes Interconnections Mathematical models Measurement Mismatch losses Modules Natural energy Photovoltaic array modelling Photovoltaic cells Photovoltaic conversion PHOTOVOLTAIC POWER PLANTS Photovoltaics POWER GENERATION POWER LOSSES Power plants POWER RANGE 01-10 KW SHADING SIMULATION SOLAR CELL ARRAYS Solar cells Solar collectors SOLAR ENERGY Solar power generation |
| Title | Forecasting photovoltaic array power production subject to mismatch losses |
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