Duty-cycle predictive control of quasi-Z-source modular cascaded converter based photovoltaic power system

Yingjun Guo, Hexu Sun, Yi Zhang, Yushan Liu, Xiao Li, Yaosuo Xue

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

A duty-cycle predictive control is proposed for dc grid integration of front-end isolated quasi-Z-source modular cascaded converter (qZS-MCC) photovoltaic (PV) power system. The post-stage qZS half-bridge dc-dc converter deals with PV maximum power point tracking, dc grid integration, and dc-link voltage balance; whereas, the front-end isolation converters operate at a constant duty cycle of 50%. Thus, it saves control hardware resources while overcoming challenges from PV-panel voltage variations and dc-bus voltage limit. The proposed control uses the derived circuit model to predict the global active-state duty cycle for grid-connected current control and predict the shoot-through duty cycles for dc-link voltage balance, achieving a fast and accurate tracking target. The proposed control method has advantages of: i) eliminating weighting factors that exist in conventional model predictive control (MPC), ii) no sophisticated loop parameters design that exists in proportional-integral (PI) control, iii) operating at constant switching frequency that is different from the conventional MPC with variable switching frequency. Simulation and experimental tests are carried out to verify the effectiveness of the proposed control method and compare with the PI-based control system.

Original languageEnglish
Pages (from-to)172734-172746
Number of pages13
JournalIEEE Access
Volume8
DOIs
StatePublished - 2020

Keywords

  • Dc-dc power conversion
  • Photovoltaic power system
  • Predictive control
  • Quasi-Z-source converter

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