IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i6p1607-d516662.html
   My bibliography  Save this article

A Study on Common Mode Voltage Reduction Strategies According to Modulation Methods in Modular Multilevel Converter

Author

Listed:
  • Chang-Hwan Park

    (Department of Electrical and Computer Engineering, Pusan National University, 2, Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan 46241, Korea)

  • In-Kyo Seo

    (Air Solution Control Research Division, LG Electronic, 84, Wanam-ro, Seongsan-gu, Changwon 51554, Korea)

  • Belete Belayneh Negesse

    (Department of Electrical and Computer Engineering, Pusan National University, 2, Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan 46241, Korea)

  • Jong-su Yoon

    (Power Transmission Laboratory, KEPCO Research Institute, 105, Munji-ro, Yuseong-gu, Daejeon 34056, Korea)

  • Jang-Mok Kim

    (Department of Electrical and Computer Engineering, Pusan National University, 2, Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan 46241, Korea)

Abstract

Low level modular multilevel converter (MMC) is a promising candidate for medium voltage applications such as MVDC (medium voltage DC current) transmission and megawatt machine drives. Unlike high-level MMC using nearest level modulation (NLM), the low-level MMC using the pulse width modulation (PWM) or NLM + PWM is affected by a common mode voltage (CMV) due to a frequent change of a switching state. This CMV causes electromagnetic interference (EMI) noise, common mode current (CMC) and bearing current leading to a reduction in the efficiency and durability of the motor drive system. Therefore, this paper provides a mathematical analysis on how the switching state affects the CMV and proposes three software based CMV reduction algorithms for the low level MMC system. To reflect the characteristic of MMC modulation strategy for upper and lower reference voltage independently, two separate space vectors are used. Based on the analysis, three different CMV reduction algorithms (complete CMV reduction (CCR), DPWM CMV reduction (DCR) and partial CMV reduction (PCR)) are proposed using NLC + PWM modulation strategy. The performance of the proposed CMV reduction algorithms was verified by both simulation and experimental result.

Suggested Citation

  • Chang-Hwan Park & In-Kyo Seo & Belete Belayneh Negesse & Jong-su Yoon & Jang-Mok Kim, 2021. "A Study on Common Mode Voltage Reduction Strategies According to Modulation Methods in Modular Multilevel Converter," Energies, MDPI, vol. 14(6), pages 1-21, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1607-:d:516662
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/6/1607/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/6/1607/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ming Liu & Zetao Li & Xiaoliu Yang, 2020. "A Universal Mathematical Model of Modular Multilevel Converter with Half-Bridge," Energies, MDPI, vol. 13(17), pages 1-18, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marek Turzyński & Piotr Musznicki, 2021. "A Review of Reduction Methods of Impact of Common-Mode Voltage on Electric Drives," Energies, MDPI, vol. 14(13), pages 1-30, July.
    2. Kai Huang & Lie Xu & Guangchen Liu, 2021. "A Diode-MMC AC/DC Hub for Connecting Offshore Wind Farm and Offshore Production Platform," Energies, MDPI, vol. 14(13), pages 1-16, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Murthy Priya & Pathipooranam Ponnambalam, 2022. "Circulating Current Control of Phase-Shifted Carrier-Based Modular Multilevel Converter Fed by Fuel Cell Employing Fuzzy Logic Control Technique," Energies, MDPI, vol. 15(16), pages 1-26, August.
    2. Corentin Darbas & Jean-Christophe Olivier & Nicolas Ginot & Frédéric Poitiers & Christophe Batard, 2021. "Cascaded Smart Gate Drivers for Modular Multilevel Converters Control: A Decentralized Voltage Balancing Algorithm," Energies, MDPI, vol. 14(12), pages 1-27, June.
    3. Roberto Zanasi & Davide Tebaldi, 2021. "Modeling Control and Robustness Assessment of Multilevel Flying-Capacitor Converters," Energies, MDPI, vol. 14(7), pages 1-40, March.
    4. Mario Lopez & Hendrik Fehr & Marcelo A. Perez & Albrecht Gensior, 2021. "Pareto Frontier of the Arm Energy Ripple and the Conduction Losses of a Modular Multilevel Converter," Energies, MDPI, vol. 14(2), pages 1-20, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1607-:d:516662. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.