PV panel single and double diode models

Optimization of the parameters and temperature dependence

Nicolas Barth, Raka Jovanovic, Said Ahzi, Mohammad A. Khaleel

Research output: Contribution to journalArticle

30 Citations (Scopus)

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 languageEnglish
JournalSolar Energy Materials and Solar Cells
DOIs
Publication statusAccepted/In press - 30 Apr 2015

Fingerprint

Photovoltaic cells
Current voltage characteristics
Diodes
Evolutionary algorithms
Temperature
MATLAB
Thin films
Defects

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

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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.",
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AU - Khaleel, Mohammad A.

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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.

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