研究目的
To enhance the effectiveness of solar photovoltaic framework by utilizing Maximum Power Point Tracking (MPPT) strategies, specifically comparing Genetic algorithm based Fuzzy Logic MPPT with Perturb and Observe (P&O) MPPT.
研究成果
The optimization technique based fuzzy controller effectively controls the MPP of the PV system, showing improved steady state and transient performance compared to P&O based MPPT technique. Further research can explore comparisons with other techniques like PSO, Grey Wolf, etc.
研究不足
The study is based on simulation results under standard ambient conditions (25°C and 1000W/m2). Real-world environmental variations and their impact on system performance are not extensively covered.