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Frequency-Domain Modeling of Modular Multilevel Converters With Application to Maximizing the Operating Region
KTH, School of Electrical Engineering (EES), Electrical Energy Conversion.ORCID iD: 0000-0002-8565-4753
KTH, School of Electrical Engineering (EES), Electrical Energy Conversion.
KTH, School of Electrical Engineering (EES), Electrical Energy Conversion.
KTH, School of Electrical Engineering (EES), Electrical Energy Conversion.
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2012 (English)In: IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, IEEE , 2012, 4967-4972 p.Conference paper, Published paper (Refereed)
Abstract [en]

Modular multilevel converters (MMC), based on cascading of half-bridge converter cells, can combine low switching frequency with low harmonic interference. They can be designed for high operating voltages without direct series connection of semiconductor elements. This has led to a rapid adoption within high-power applications such as high voltage direct current transmission, railway interties and medium voltage industrial motor drives. Analyzing the operation of these converters in the frequency domain poses a few challenges due to the presence of significant low-order harmonic voltages in the cell capacitors. This paper treats a frequency-domain methodology for computing inner variables of the MMC with half-bridge cells, based on a two-stage approach. First, the circuit equations are decoupled by a simple linear transformation, whereby the circuit schematic can be separated into a dc-side and an ac-side part. Second, the variables of the cell strings are computed in the frequency domain by iterated convolution. It is shown that the proposed methodology, where all calculations are made in the frequency domain, can accurately reproduce the results from a PSCAD simulation. Furthermore, the model is successfully employed as part of an optimization algorithm for maximizing the power handling capability of the converter by appropriately controlling the circulating current and zero-sequence ac-side voltage. Results from this work point to significant possibilities for improvement.

Place, publisher, year, edition, pages
IEEE , 2012. 4967-4972 p.
Series
IEEE Industrial Electronics Society. Annual Conference. Proceedings, ISSN 1553-572X
Keyword [en]
AC generator motors, Algorithms, Cells, Cytology, Electric drives, Industrial electronics, Industrial railroads
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
SRA - Energy
Identifiers
URN: urn:nbn:se:kth:diva-105218DOI: 10.1109/IECON.2012.6389570ISI: 000316962904141Scopus ID: 2-s2.0-84872980777ISBN: 978-1-4673-2421-2 (print)OAI: oai:DiVA.org:kth-105218DiVA: diva2:570388
Conference
38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012; Montreal, QC; Canada; 25 October 2012 through 28 October 2012
Funder
StandUp
Note

QC 20130114

Available from: 2012-11-19 Created: 2012-11-19 Last updated: 2013-06-19Bibliographically approved

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Norrga, StaffanNee, Hans-Peter

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Norrga, StaffanÄngquist, LennartIlves, KalleHarnefors, LennartNee, Hans-Peter
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