An adaptable method for efficient modeling of photovoltaic generators' performance based on the double-diode model

Area of Science:

• Renewable Energy Engineering
• Electrical Engineering
• Materials Science

Background:

• Accurate modeling of photovoltaic (PV) modules is crucial for predicting solar energy system performance.
• Existing methods often involve complex calculations or approximations for PV module parameter extraction.
• The two-diode model offers a robust framework but requires efficient parameter estimation techniques.

Purpose of the Study:

• To develop an effective and simplified modeling technique for photovoltaic module performance simulation.
• To accurately calculate electrical parameters using the two-diode model with reduced complexity.
• To enhance the adaptability and efficiency of PV modeling for diverse data availability scenarios.

Main Methods:

• Reduced the number of unknown parameters from seven to three without approximations.
• Employed analytical calculations for initial parameters using key current-voltage (I-V) curve points and a novel fill-factor expression.
• Utilized a simple iterative numerical technique for remaining parameters, adaptable to different data availability.

Main Results:

• Achieved superior performance compared to existing numerical and evolutionary optimization methods.
• Demonstrated the smallest statistical indicator values, signifying high accuracy in PV parameter extraction.
• Significantly reduced computation time, highlighting the method's efficiency.

Conclusions:

• The proposed method offers a flexible and highly efficient approach for simulating photovoltaic devices.
• The technique effectively models PV module performance by accurately calculating electrical parameters.
• This advancement contributes to more reliable and faster solar energy system design and analysis.