Abstract

This paper proposes a new method for maximum power point tracking (MPPT) of the photovoltaic (PV) system while using a DC-DC boost converter. The conventional perturb and observe (P&O) method has a fast tracking response, but it presents oscillation around the maximum power point (MPP) in steady state. Therefore, to satisfy transient and steady-state responses, this paper presents a MPPT method using support vector machines (SVMs). The use of SVM will help to improve the tracking speed of maximum power point of the PV system without oscillations near MPP. A boost converter is used to implement the MPPT method, where the input voltage of the DC-DC converter is regulated using a double loop where the inner loop is a current control that is based on passivity. The MPPT structure is validated by hardware in the loop, a real time and high-speed simulator (PLECS RT Box 1), and a digital signal controller (DSC) are used to model the PV system and implement the control strategies, respectively. The proposed strategy presents low complexity and it is implemented in a commercial low-cost DSC (TI 28069M). The performance of the MPPT proposed is presented under challenging experimental profiles with solar irradiance and temperature variations across the panel. In addition, the performance of the proposed method is compared with the P&O method, which is traditionally most often used in MPPT under demanding tests, in order to demonstrate the superiority of the strategy presented.

Highlights

  • Photovoltaic power generation is a renewable energy source with numerous advantages

  • The selected crossover frequency (CF) corresponds with f c = 500 Hz which can allow the calculation of the proportional gain according with (11)

  • This paper proposes a method for tracking the maximum power point (MPP) of a PV system

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Summary

Introduction

Photovoltaic power generation is a renewable energy source with numerous advantages. Its characteristics in solar energy are recognized by good dynamics that are easy to incorporate into residential microgrids. Sustainability 2021, 13, 3000 for MPPT methods have been developed, with the best-known methods being perturb and observe (P&O) [5], extremum seeking control methods (ESC) [6], and incremental conductance algorithm (INC) [7]. These methods take the instantaneous values of output voltage of PV module or current to generate the control signals, using a reference voltage, reference current, or duty ratio for maximum power point tracking. The proposed MPPT algorithm and the double loop control of the DC-DC boost converter can be implemented in a commercial low-cost DSC.

MPPT Control by DC-DC Boost Converter
Average Current Control Based on Passivity
Discrete-Time PI Voltage Control
MPPT Algorithm
Proposed Support Vector Machine MPPT Method
Results
Inner Loop Current Control Based on Passivity Results
Double Loop Results
Comparison of MPPT Methods Results
Conclusions

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