An analytical essential switching loss estimation method for modular multilevel converters with nearest level modulation

Zhongxu Wang, Huai Wang, Yi Zhang, Frede Blaabjerg

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    8 Scopus citations

    Abstract

    A novel switching power loss estimation method for modular multilevel converters (MMCs) with the nearest level modulation (NLM) is introduced in this paper. It focuses on the switching actions caused only by change of the inserted submodule (SM) number per arm, named as the essential switching transitions. Every essential switching action can be identified under the assumption of ideal sinusoidal arm voltage reference. The corresponding arm current value determining the switching energy can be obtained with the exclusive use of the exact time of the switching action. Effects of the modulation index and the power factor on the power loss are also taken into account. Simulations have been performed on a 30-MVA three-phase grid-connected MMC system with 20 SMs per arm. The results have confirmed the effectiveness of the proposed method, where high estimation accuracy can be achieved under a range of operating conditions.

    Original languageBritish English
    Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages762-767
    Number of pages6
    ISBN (Electronic)9781538611272
    DOIs
    StatePublished - 15 Dec 2017
    Event43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
    Duration: 29 Oct 20171 Nov 2017

    Publication series

    NameProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
    Volume2017-January

    Conference

    Conference43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
    Country/TerritoryChina
    CityBeijing
    Period29/10/171/11/17

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