研究目的
To develop a nonlinear model of a photovoltaic panel based on system identification theory for accurate estimation of the output power of the PV system.
研究成果
The proposed Hammerstein-Wiener model provides a more accurate representation of the PV panel's output power compared to the classical Single Diode Model, with a lower RMSE. This model can be a valuable tool for monitoring, fault detection, and maintenance systems in PV installations.
研究不足
The study focuses on a specific PV panel configuration and environmental conditions in Curitiba – Brazil. The model's accuracy may vary under different conditions or with other PV panel configurations.
1：Experimental Design and Method Selection:
The study employs a black-box modeling approach using System Identification theory, specifically the Hammerstein-Wiener model structure, to represent the nonlinearity of the PV panel.
2：Sample Selection and Data Sources:
The irradiance and temperature on the PV panel are used as input signals, while the current and voltage are measured to calculate the output power.
3：List of Experimental Equipment and Materials:
A PV panel of two PV modules connected in series producing 660W, a National Instruments (NI) cRIO 9039, LabVIEW, a silicon cell pyranometer SP-110, and a temperature sensor DS18B20 are used.
4：Experimental Procedures and Operational Workflow:
The acquisition process was conducted over 7 days in Curitiba – Brazil, with a sample period of Ts = 50ms.
5：Data Analysis Methods:
The Root Mean Square Error (RMSE) criterion is used to compare the model with the true system.
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