Robust disturbance rejection control of grid-connected fuel cell converters with grid support ability under unbalanced faults

Adeel Sabir*, Salim Ibrir

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This work proposes a high-performance, robust and low-complexity control strategy for grid-connected fuel cell converters that operate under several performance limiting conditions such as grid faults, parametric and modeling uncertainties, unknown disturbances, step changes and noise. The strategy enables the fuel cell-based distributed generators to ride through balanced and unbalanced grid faults and fulfills the modern grid code requirements that mandate them to actively support the grid in case of contingencies. The controller is built by combining disturbance rejection control and repetitive control, both having simple structures and attractive performance features. Moreover, during grid faults, the strategy manages to keep the active power delivered to the grid constant and the phase currents sinusoidal, without a phase locked loop or the positive and negative sequence components of the unbalanced grid voltages or currents. As a result, the controller’s computational and structural complexity are reduced without compromising its performance. Several test cases are run using the SimPowerSystems TM toolbox of MATLAB/Simulink computing environment to demonstrate the response of the proposed strategy and ascertain its performance under grid faults, parametric uncertainties, noise and unknown disturbances.

Original languageEnglish
Pages (from-to)673-698
Number of pages26
JournalEnergy Systems
Volume11
Issue number3
DOIs
StatePublished - 1 Aug 2020

Bibliographical note

Publisher Copyright:
© 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

Keywords

  • Distributed generation
  • Disturbance rejection control
  • Fault ride-through
  • Fuel cells
  • Repetitive control
  • Robust control

ASJC Scopus subject areas

  • Modeling and Simulation
  • Economics and Econometrics
  • General Energy

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