Photovoltaic system using Lambert W function-based technique

•Single diode PV simulink model based on Lambert W function for finding I-V and P-V characteristics.•Fuzzy logic MPPT controller for extracting maximum power.•Simulink model to counter extreme weather condition. This article presents a successful simulink model by using the photovoltaic (PV) product...

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Bibliographic Details
Published in:Solar energy 2017-12, Vol.158, p.432-439
Main Authors: Tripathy, Meetarani, Kumar, Manish, Sadhu, P.K.
Format: Article
Language:English
Subjects:
Atmospheric conditions
Buck converter
Buck converters
Computer simulation
Electric potential
Fuzzy logic
Lambert W function
Lithium
Lithium-ion batteries
Mathematical models
Maximum power point tracker
Photovoltaic cells
Photovoltaics
Single diode model
Solar cells
Solar energy
Studies
Voltage
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Summary:•Single diode PV simulink model based on Lambert W function for finding I-V and P-V characteristics.•Fuzzy logic MPPT controller for extracting maximum power.•Simulink model to counter extreme weather condition. This article presents a successful simulink model by using the photovoltaic (PV) product along with DC/DC buck converter, lithium ion battery, maximum power point tracker (MPPT) along with loads. The current-voltage (I-V) and power-voltage (P-V) characteristics of a Kyocera KC200GT product is validated using single diode PV model in conjunction with Lambert W function. Fuzzy logic algorithm is incorporated in MPPT for high tracking accuracy at steady state and better performance to the varying atmospheric conditions. The complete model is simulated under two testing scenarios i.e., sunny and cloudy day conditions. Exact analytical solution technique by using Lambert W function is followed by expressing I-V and P-V characteristic of PV module by converting into discrete equations. The proposed Lambert W function based mathematical model is accurate and there is a good agreement between calculated and simulated outputs.
ISSN:0038-092X
1471-1257
DOI:10.1016/j.solener.2017.10.007