Three-phase three-level flying capacitor PV generation system with an embedded ripple correlation control MPPT algorithm

Manel Hammami, Mattia Ricco, Alexander Ruderman, Gabriele Grandi

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

This paper presents the implementation of a maximum power point tracking (MPPT) algorithm in a multilevel three-phase photovoltaic (PV) system using the ripple correlation control (RCC) method. Basically, RCC adopts the inherent oscillations of PV current and voltage as perturbation, and it has been predominantly used for single-phase configurations, where the oscillations correspond to the 2 nd order harmonics. The implementation of an RCC-MPPT algorithm in a three-phase system has not been presented yet in the literature. In this paper, the considered three-phase three-level converter is a three-level flying capacitor (FC) inverter. The proffered RCC method uses the 3 rd harmonic components of PV current and voltage for the estimation of the voltage derivative of the power dP pv /dV pv (or current, dI pv /dV pv ), compelling the PV array to operate at or very close to the maximum power point. The analysis and calculation of the low-frequency PV current and voltage ripple harmonic components in the three-phase flying capacitor inverter is presented first, with reference to centered carrier-based three-level PWM. The whole grid-connected PV generation scheme has been implemented by MATLAB/Simulink, and detailed numerical simulations verified the effectiveness of the control method in both steady-state and dynamic conditions, emulating different sun irradiance transients.

Original languageEnglish
Article number118
JournalElectronics (Switzerland)
Volume8
Issue number2
DOIs
Publication statusPublished - Feb 2019

Keywords

  • Low-frequency harmonics
  • Maximum power point (MPP)
  • Photovoltaic
  • Ripple correlation control (RCC)
  • Three-level flying capacitor inverter
  • Three-phase inverter

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Hardware and Architecture
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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