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Long-horizon direct model predictive control for a series-connected modular rectifier

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Details

Original languageEnglish
Title of host publicationPCIM Europe-International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, 2020
PublisherVDE Verlag
Pages342-349
Number of pages8
ISBN (Print)9783800752454
Publication statusPublished - 2020
Publication typeA4 Article in a conference publication
EventInternational Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management -
Duration: 7 Jul 20208 Jul 2020

Publication series

NamePCIM Europe Conference Proceedings
Volume1
ISSN (Electronic)2191-3358

Conference

ConferenceInternational Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
Period7/07/208/07/20

Abstract

This paper presents a long-horizon direct model predictive control for a series-connected modular rectifier. The topology combines a diode rectifier and an active-front-end (AFE) converter to achieve a modular dc railway power supply. Two formulations of the optimization problem, i.e., power and current control, are investigated. The current control problem-solved with the sphere decoder for reduced computational effort-is compared with the power control problem-solved with exhaustive enumeration-in terms of current distortions and distribution of the harmonic spectrum. The latter have to meet strict grid standards, such as IEEE 519 and IEC 61000-2-4 standards. As shown, thanks to the long prediction horizon the total demand distortion of the converter current can be reduced, while keeping the device switching frequency low due to the medium voltage target.

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