Modeling of PV system and parameter extraction based on experimental data: Review and investigation
| Autor: | Saad Mekhilef, Samen F. Mohammed, Khalid G. Mohammed, Naseer K. Kasim, Salih Y. Darweesh, Tahseen Ahmad Tahseen, Ali M. Humada, Mohammed Kamil, Omar I. Awad |
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| Rok vydání: | 2020 |
| Předmět: |
Maximum power principle
Renewable Energy Sustainability and the Environment Computer science 020209 energy Photovoltaic system Experimental data 02 engineering and technology 021001 nanoscience & nanotechnology 0202 electrical engineering electronic engineering information engineering Benchmark (computing) General Materials Science Point (geometry) Extraction (military) Extraction methods 0210 nano-technology Short circuit Simulation |
| Zdroj: | Solar Energy. 199:742-760 |
| ISSN: | 0038-092X |
| DOI: | 10.1016/j.solener.2020.02.068 |
| Popis: | This paper presents a new approach to the extraction of a single-diode five-parameter model and its performance evaluation. The proposed model can analytically describe the current–voltage (I–V) and power–voltage (P–V) characteristics of a photovoltaic (PV) module in different conditions. The PV parameters mainly identify the accuracy of any PV model. Different evaluation criteria have been used in this study. All benchmark used to compare current results accuracy with literature studies outcomes. In addition, the performance of the five parameters tested. Results of PV parameters performance showed clear improvements, which are evident in the I–V and P–V characteristics. Consequently, the proposed model introduces five accurate and flexible parameters, compared to legacy work. The extracted parameters are based on nine coefficients. Results also show the effect of the five parameters on maximum power point (MPP), short circuit current (Isc), and open circuit voltage (Voc). Furthermore, a brief review on the PV parameter extraction methods and its accuracy level has been completed. |
| Databáze: | OpenAIRE |
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