Abstract
Taking out the maximum obtainable power from solar photovoltaic (SPV) system under periodically varying atmospheric conditions is effectively facilitated through maximum power point tracking (MPPT) techniques. Among diverse MPPT techniques fuzzy logic (FL) based technique shows better response in context of maximum power point (MPP) tracking time and tracking efficacy under changing environmental conditions. This paper presents FL based proportional-integral-derivative (FL-PID) MPPT algorithm to track MPP. SPV system in combination with FL-PID MPPT algorithm drives DC-DC boost power converter which elevates array voltage besides effectively tracking MPP under changing environmental conditions with change in irradiance between 400W/m2-1000W/m2 and temperature between 25°C - 75°C. Compared with classical perturb and observe (P&O) and classical incremental conductance (IC) MPPT technique, the proposed technique can fruitfully enhance transient as well as the steady-state (SS) system response. With the help of MATLAB/Simulink environment a prototype of 200 W of an SPV array has been designed, simulated and investigated for the proposed system.
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