Photovoltaic Grid-Connected Modeling and Characterization Based on Experimental Results

Area of Science:

• Renewable Energy Systems
• Photovoltaic Technology
• Electrical Engineering

Background:

• Grid-connected photovoltaic (PV) systems are essential for renewable energy integration.
• Variable weather conditions significantly impact PV system performance and reliability.
• Accurate modeling is crucial for optimizing PV system design and operation.

Purpose of the Study:

• To develop and characterize a mathematical model for a small-scale grid-connected PV system.
• To simulate the performance of the proposed PV model under fluctuating weather conditions.
• To evaluate the accuracy of the model against experimental data and existing benchmarks.

Main Methods:

• Developed a mathematical model for a small-scale PV system using three key parameters: photocurrent (IL), reverse diode saturation current (Io), and ideality factor (n).
• Simulated the model's performance for residential applications.
• Validated the model's accuracy by comparing simulation results with experimental data and I-V characteristic curves.

Main Results:

• The proposed PV model demonstrated high accuracy in fitting experimental results.
• The model accurately predicted the behavior of the PV system under fluctuating climatic conditions.
• The I-V characteristic curve of the proposed model showed excellent agreement with experimental data.

Conclusions:

• The developed PV model provides a reliable tool for assessing PV system performance in variable weather.
• The findings are valuable for the practical installation and optimization of grid-connected PV systems.
• This accurate modeling approach can enhance the efficiency and stability of residential solar energy solutions.