A Comparative Analysis of Perturb and Observe and Fuzzy Logic Control Methods for Maximum Power Point Tracking in Photovoltaic Systems

• Main Authors: Vora, Kunal, Liu, Shichao, Dhulipati, Himavarsha
• Format: Conference Proceeding
• Language: English
• Subjects: Convergence Time; Efficiency; Fuzzy logic; Fuzzy Logic Control; Maximum power point trackers; Maximum Power Point Tracking (MPPT); P-V Curve; Perturb and Observe Algorithm (P&O); Photovoltaic systems; Renewable energy sources; Response Time; Robustness; Software packages; Stability; Stability analysis; Sustainability; Total Harmonic Distortion (THD)
• ISSN: 2576-7046
• DOI: 10.1109/CCECE59415.2024.10667195

Maximum Power Point Tracking (MPPT) techniques play a pivotal role in optimizing the energy harvesting efficiency of photovoltaic (PV) systems. Among the various MPPT algorithms, Perturb and Observe (P&O) and fuzzy logic control have emerged as prominent contenders due to their simplicity and effectiveness. This paper presents a comprehensive comparative analysis of these two methods for MPPT in PV systems. The study employs simulation-based experimentation to evaluate the performance of P&O and fuzzy logic algorithms under varying irradiance level conditions. Efficiency, response time, settling time and stability are among the key performance metrics considered for comparison. Results indicate that while both P&O and fuzzy logic approaches exhibit commendable MPPT performance, they demonstrate distinct advantages and limitations. P&O exhibits rapid convergence to the maximum power point but suffers from oscillations around the optimal operating point. On the other hand, fuzzy logic control offers enhanced stability and robustness against step changes in irradiance levels but may require more computational resources. Simulations of the proposed system are performed in MATLAB Simulink environment.