Modeling a photovoltaic system with a bidirectional DC-DC converter in MATLAB Simulink based on Fuzzy logic

The objective of this study is to develop a comprehensive model of a photovoltaic (PV) system integrated with a bidirectional DC-DC converter, utilizing the ANFIS algorithm based on fuzzy logic. This approach accounts for two critical input parameters: time and ambient temperature. By implementing ANFIS, the system dynamically adjusts to environmental changes, ensuring optimal performance. The proposed model's effectiveness is evaluated through an in-depth analysis of key output characteristics, including voltage stability, mitigation of current fluctuations, and optimization of battery charge levels. The simulation is conducted in the MATLAB/Simulink environment, providing a reliable framework for assessing system behavior under varying conditions. The findings demonstrate that incorporating ANFIS significantly enhances energy flow management, improves system stability, and ensures a higher quality of generated electricity. Additionally, the model's adaptability to external variations suggests its potential for practical applications in renewable energy systems, contributing to the development of more efficient and intelligent PV power management solutions.

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