Abstract
The Maximum Power Tracking (MPPT) Incremental Conductance (IC) and Adaptive Incremental Conductance (AIC) algorithms are simulated and compared for different shading patterns on a typical Photovoltaic (PV) System. The results show that the conventional IC algorithm misses the Global Maximum Power Point (GMPP) and achieves a low dynamic MPPT efficiency around 83% for PV strings under different critical shading conditions. However, the AIC algorithm, with optimized parameters, successfully tracks the GMPP and its dynamic MPPT efficiency is above 99.3% under similar shading conditions. Then, it is concluded that the AIC is far superior to the conventional IC algorithm, and it has a good performance like other soft computing and bio-inspired methods, but it is simpler to implement than those algorithms.
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