A new high gain DC-DC converter with model-predictive-control based MPPT technique for photovoltaic systems

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Abstract

High step-up DC/DC converter and maximum power point tracking (MPPT) control are essential components in photovoltaic (PV) systems. For the purpose of utilizing PV module in power generation, this manuscript proposes 1-new high step-up DC/DC converter 2-model predictive control based maximum power point tracking (MPC-MPPT) algorithm with optimum number of sensors. The suggested topology is able to provide a voltage gain up to 10 times of input-voltage and its measured efficiency is around 93%. MPC is a prevalent control technique with superior transient and steady-state performances in PV systems. However, in PV DC/DC converters, conventional MPC based MPPT technique typically requires two voltage-sensors and one current-sensor. For the purpose of reducing system cost, this manuscript presents MPC based MPPT technique with two-sensors. The algorithm is designed to operate with both fixed and adaptive step-size. Different scenarios and operating conditions are evaluated both in Simulink and with hardware set-up. Results obtained from the simulation and experimental work are consistent and verify the analytical analysis of the system.

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Abdel-Rahim, O., & Wang, H. (2020). A new high gain DC-DC converter with model-predictive-control based MPPT technique for photovoltaic systems. CPSS Transactions on Power Electronics and Applications, 5(2), 191–200. https://doi.org/10.24295/CPSSTPEA.2020.00016

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