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A Novel Adaptive Filtering Algorithm Based Parameter Estimation Technique for Photovoltaic System
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DOI：10.1109/TEC.2021.3090943.png)
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Abstract
En 中文
This paper offers a hybrid analytical and estimation based technique to determine the photovoltaic (PV) system parameter in a systematic way. The new model formulation is based on the datasheet parameters under standard test condition and normal operating cell temperature environment, forming the analytical approach's foundation. The estimation part is based on the adaptive filtering algorithm, which shows superiority in estimated parameters compared to existing techniques applied in the photovoltaic system. The proposed approach is made available for a single diode PV model and scaled up aggregated model in extracting the model parameters of two real PV modules in the market, representing the exact I-V characteristics of the manufacturer datasheet. A rigorous comparative analysis is carried out between two adaptive and two optimization based estimations for performance evaluation and recommendation purposes.
Keywords:
Adaptation models
Mathematical model
Photovoltaic systems
Filtering algorithms
Estimation
Iterative methods
Analytical models
Adaptive filtering algorithm
partial shading
photovoltaic array
single diode model
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