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# GA Tuned ANFIS MPPT for Solar PV System

GA Tuned ANFIS MPPT for Solar PV System

Solar PV Panel Characteristics

Before diving into the implementation, let's review the key characteristics of the solar PV panel used:

• Rated Power: 250.2 watts

• Open Circuit Voltage: 37.3 volts

• Voltage at Maximum Power Point: 30.7 volts

• Short Circuit Current: 8.66 amps

• Current at Maximum Power Point: 8.15 amps

• Temperature Coefficients: Voltage and current coefficients influence panel performance under temperature changes.

Modeling the Solar PV System

The solar PV system model is structured using MATLAB equations:

• Inputs: Irradiance and temperature data.

• Outputs: Maximum voltage at the power point, critical for MPPT.

Here's a snippet of the code used to model the system:

Training the ANFIS Model with GA

1. Data Collection:

• Input data includes irradiance and temperature variations.

• Output data focuses on maximum voltage at the power point (Vmax).

1. GA Training:

• GA optimizes the ANFIS parameters for accurate prediction of Vmax under varying conditions.

• Parameters are tuned iteratively over multiple generations to minimize error and improve accuracy.

1. Implementation Details:

• MATLAB's Fuzzy Logic Toolbox is utilized to develop and train the ANFIS model.

• Training involves iterating over input-output pairs to adjust model parameters until convergence criteria are met.

Simulation Results

Performance under Dynamic Conditions:

• ANFIS, tuned by GA, consistently tracks and extracts maximum power from the PV panel.

• Simulation tests at different irradiance levels (1000, 800, 600, 400, 200 W/mÂ²).

• ANFIS adjusts to these changes, accurately predicting Vmax for optimal power extraction.

1. Comparison with Theoretical Values:

• The model's output is compared with theoretical values to validate accuracy.

• Results show close alignment between predicted and actual performance, verifying the effectiveness of GA trained ANFIS.

Conclusion

The integration of GA trained ANFIS for MPPT in solar PV systems demonstrates significant improvements in energy extraction efficiency. By dynamically adjusting to environmental changes, the system optimizes power output and ensures robust performance across varying conditions.