Improved Direct Model Predictive Control for Grid-Connected Power Converters

Mohamed Abdelrahem, José Rodríguez and Ralph Kennel
Additional contact information
Mohamed Abdelrahem: Chair of Electrical Drive Systems and Power Electronics (EAL), Technische Universität München, 80333 München, Germany
José Rodríguez: Faculty of Engineering, University Andrés Bello, Santiago 8370146, Chile
Ralph Kennel: Chair of Electrical Drive Systems and Power Electronics (EAL), Technische Universität München, 80333 München, Germany

Energies, 2020, vol. 13, issue 10, 1-14

Abstract: This paper proposes a computationally efficient and robust direct model predictive control (DMPC) technique with enhanced steady-state performance for power converters tied to the electric utility. The discrete space vector modulation (DSVM) method is considered in the design of the suggested DMPC, where virtual voltage vectors (VVs) besides the real ones are utilized for improving the steady-state response of the proposed controller. Furthermore, for averting the high computational burden and making the proposed control technique simple, a deadbeat (DB) function is employed for calculating the reference VV based on the required reference current. Subsequently, a discrete-time integral term is combined with this DB function to enhance the robustness of the suggested DMPC technique against variations of the model parameters. Finally, the best virtual or real VV is chosen by a certain quality function, which will be applied to the power converter in the next sample. The suggested technique is verified by simulation results and its performance is compared with the classical DMPC and voltage-oriented control (VOC).

Keywords: predictive control; power converter; deadbeat; advanced control; robust control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/10/2597/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/10/2597/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:10:p:2597-:d:360634

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().