Comparative Benchmarking of Incremental Conductance and Perturb-and-Observe MPPT Algorithms

What is it about?

This paper aims to implement in Matlab and Simulink the perturb-and-observe (P&O) and incremental conductance algorithms that are published in the literature. This comparative analysis is designed to determine which of these two methods are the most suitable for Maximum Power Point Tracking (MPPT) in order to establish an optimal algorithm if is desired undertake analysis of power depending on solar radiation respectively function of temperature taking into account the modification of change of duty cycle parameter that enter in the MPPT control algorithms of the considered model of photovoltaic (PV) system.

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Why is it important?

The photovoltaic (PV) system model used for simulation consists of the PV panel, the variant subsystem of irradiance, the buck converter and the variant subsystem of Maximum Power Point Tracking (MPPT) controller. Considering the optimal rapport between time of simulation, step change response of buck converter and the maximum power obtained, the best result for both perturb-and-observe (P&O) and incremental conductance MPPT methods are obtained at the step change of duty cycle deltad=8 ms of MPPT controller. The incremental conductance algorithm is superior compared with P&O both at power obtained as well as at step recovery of power and variation of temperature.

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