Reduced Switching Frequency Finite Control Set Model Predictive Control (FCS-MPC) for DFIG

Youssef Ali, Mohammed Ouassaid, Eduard Muljadi

Research output: Contribution to conferencePaper

6 Scopus Citations

Abstract

An enhanced Finite Control Set Model Predictive Control (FCS-MPC) strategy with a two-step prediction horizon for a Doubly-Fed Induction Generator (DFIG) is the focus of this paper. The DFIG and RL filter's discrete-time model is used in the proposed control scheme for a two-step prediction horizon of rotor and filter currents for the converter's eight possible switching states. Afterward, the control algorithm selects the ideal switching state, which minimizes currents' objective function. The proposed control scheme does not require a modulation stage for internal controllers. We use Lagrange extrapolations to predict the dynamic changes in currents. The switching frequency reduction is achieved by integrating an optimization constraint in the algorithm's cost function. Furthermore, the Total Harmonic Distortion level of currents is kept below 5%, according to IEEE Std 519-14. Obtained results reveal that the switching frequency of the DFIG converters is considerably reduced without losing control; it is reduced by 13.89KHz for the Grid Side Converter (GSC) and by 1.78KHz for the Rotor Side Converter (RSC).
Original languageAmerican English
Number of pages7
DOIs
StatePublished - 2022
Event2021 Innovations in Power and Advanced Computing Technologies (i-PACT) - Kuala Lumpur, Malaysia
Duration: 27 Nov 202129 Nov 2021

Conference

Conference2021 Innovations in Power and Advanced Computing Technologies (i-PACT)
CityKuala Lumpur, Malaysia
Period27/11/2129/11/21

NREL Publication Number

  • NREL/CP-5700-82542

Keywords

  • doubly-fed induction generator
  • finite control set model predictive control
  • switching frequency

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