Abstract
Photovoltaic (PV) cells induce current-voltage (I- V) characteristics dependent on the PV cell technology, the thin film structure and their eventual flaws during the elaboration process. The operation conditions also have a relevant impact on electrical curves characterizing these devices. The electrical parameters can be extracted from a PV panel standard datasheet using the commonly encountered single and double diode equivalent models representing the PV cell. This was done, in the present paper, at the most fundamental expression of these two models using evolutionary algorithms implemented in MATLAB (i.e. metaheuristic optimization methods). Four different. I- V characteristics were available for the investigated commercial PV panel. They were fitted separately using the diode models and then taken as a whole to obtain parameters as physically meaningful as possible for the whole temperature range. The metaheuristic methods performed well for this problem, especially the cuckoo search algorithm. However, even with a good fitting of the fundamental behavior of the. I- V characteristics, the presented approach may yield optimized solutions not as physically correct as it was expected. Thus, care must be taken for correctly interpreting the optimization results.
| Original language | English |
|---|---|
| Journal | Solar Energy Materials and Solar Cells |
| DOIs | |
| Publication status | Accepted/In press - 30 Apr 2015 |
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Keywords
- Cuckoo search (CS)
- Evolutionary algorithms
- Particle swarm optimization (PSO)
- Photovoltaics (PV)
- PV cell electrical parameters extraction
- Temperature effects
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Electronic, Optical and Magnetic Materials
- Surfaces, Coatings and Films
Cite this
PV panel single and double diode models : Optimization of the parameters and temperature dependence. / Barth, Nicolas; Jovanovic, Raka; Ahzi, Said; Khaleel, Mohammad A.
In: Solar Energy Materials and Solar Cells, 30.04.2015.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - PV panel single and double diode models
T2 - Optimization of the parameters and temperature dependence
AU - Barth, Nicolas
AU - Jovanovic, Raka
AU - Ahzi, Said
AU - Khaleel, Mohammad A.
PY - 2015/4/30
Y1 - 2015/4/30
N2 - Photovoltaic (PV) cells induce current-voltage (I- V) characteristics dependent on the PV cell technology, the thin film structure and their eventual flaws during the elaboration process. The operation conditions also have a relevant impact on electrical curves characterizing these devices. The electrical parameters can be extracted from a PV panel standard datasheet using the commonly encountered single and double diode equivalent models representing the PV cell. This was done, in the present paper, at the most fundamental expression of these two models using evolutionary algorithms implemented in MATLAB (i.e. metaheuristic optimization methods). Four different. I- V characteristics were available for the investigated commercial PV panel. They were fitted separately using the diode models and then taken as a whole to obtain parameters as physically meaningful as possible for the whole temperature range. The metaheuristic methods performed well for this problem, especially the cuckoo search algorithm. However, even with a good fitting of the fundamental behavior of the. I- V characteristics, the presented approach may yield optimized solutions not as physically correct as it was expected. Thus, care must be taken for correctly interpreting the optimization results.
AB - Photovoltaic (PV) cells induce current-voltage (I- V) characteristics dependent on the PV cell technology, the thin film structure and their eventual flaws during the elaboration process. The operation conditions also have a relevant impact on electrical curves characterizing these devices. The electrical parameters can be extracted from a PV panel standard datasheet using the commonly encountered single and double diode equivalent models representing the PV cell. This was done, in the present paper, at the most fundamental expression of these two models using evolutionary algorithms implemented in MATLAB (i.e. metaheuristic optimization methods). Four different. I- V characteristics were available for the investigated commercial PV panel. They were fitted separately using the diode models and then taken as a whole to obtain parameters as physically meaningful as possible for the whole temperature range. The metaheuristic methods performed well for this problem, especially the cuckoo search algorithm. However, even with a good fitting of the fundamental behavior of the. I- V characteristics, the presented approach may yield optimized solutions not as physically correct as it was expected. Thus, care must be taken for correctly interpreting the optimization results.
KW - Cuckoo search (CS)
KW - Evolutionary algorithms
KW - Particle swarm optimization (PSO)
KW - Photovoltaics (PV)
KW - PV cell electrical parameters extraction
KW - Temperature effects
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UR - http://www.scopus.com/inward/citedby.url?scp=84951326063&partnerID=8YFLogxK
U2 - 10.1016/j.solmat.2015.09.003
DO - 10.1016/j.solmat.2015.09.003
M3 - Article
AN - SCOPUS:84958853632
JO - Solar Energy Materials and Solar Cells
JF - Solar Energy Materials and Solar Cells
SN - 0927-0248
ER -