Improved Predictive Control in Multi-Modular Matrix Converter for Six-Phase Generation Systems

Sergio Toledo, Edgar Maqueda, Marco Rivera, Raúl Gregor, Pat Wheeler and Carlos Romero
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Sergio Toledo: Facultad de Ingeniería, Universidad de Talca, Curicó 3341717, Chile
Edgar Maqueda: Facultad de Ingeniería, Universidad Nacional de Asunción, Luque 2060, Paraguay
Marco Rivera: Facultad de Ingeniería, Universidad de Talca, Curicó 3341717, Chile
Raúl Gregor: Facultad de Ingeniería, Universidad Nacional de Asunción, Luque 2060, Paraguay
Pat Wheeler: Faculty of Engineering, University of Nottigham, Nottingham NG7 2RD, UK
Carlos Romero: Facultad de Ingeniería, Universidad Nacional de Asunción, Luque 2060, Paraguay

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

Abstract: Distributed generation systems are emerging as a good solution as part of the response to the world’s growing energy demand. In this context multi-phase wind generation systems are a feasible option. These systems consist of renewable AC sources which requires efficient and controlled power conversion stages. This work proposes a novel predictive current control strategy that takes advantage of a multi-modular matrix converter topology in the power stage of a six-phase generation system. The proposed method uses a coupling signal between the modules to decrease the error and the total harmonic distortion compared to independent control of each module. Experimental results validate the new control strategy showing the improvement regarding the target parameters.

Keywords: multi-phase wind generation systems; modular matrix converter; model predictive 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 (4)

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