A New High Gain DC-DC Converter With Model-Predictive-Control Based MPPT Technique for Photovoltaic Systems

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 stepup 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 twosensors. 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. Index Terms-DC/DC converter, model predictive control based maximum power point tracking (MPC-MPPT). I. IntroductIon I N photovoltaic (PV) generation systems, a DC/DC converter is required to link the low voltage PV panel and the high voltage DC link. In this DC/DC converter, maximum-powerpoint-tracking (MPPT) control is required to fully exploit the capacity of the PV panel[1]-[2] . In general, high tracking accuracy, and stable transient and steady-state response are important criteria to evaluate the performance of MPPT techniques. In order to achieve such criteria, different MPPT techniques have been investigated in literature [3]-[6].