Evaluation of half-bridge modular multilevel converter model for VSC-HVDC transient stability studies

Roni Irnawan, Filipe Miguel Faria da Silva, Claus Leth Bak, Tom Chresten Bregnhøj

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

4 Citations (Scopus)

Abstract

This paper evaluates the modeling methods for a half-bridge modular multilevel converter (HB-MMC) based voltage-sourced converter (VSC) HVDC system for electromechanical transient (RMS) program. At first, the electrical and control system representation of the HB-MMC system in RMS program is described. This RMS model is then simplified by neglecting the inner/current controller. Both detailed and simplified RMS models are then validated against an accurate electromagnetic (EMT) transient model in a point-to-point (PtP) transmission system with different AC network strength, power directions, and dynamic events.
Original languageEnglish
Title of host publicationProceedings of the 13th IET International Conference on AC and DC Power Transmission (ACDC 2017)
Number of pages6
PublisherInstitution of Engineering and Technology
Publication dateFeb 2017
Pages17-22
DOIs
Publication statusPublished - Feb 2017
Event13th IET International Conference on AC and DC Power Transmission (ACDC 2017) - Manchester, United Kingdom
Duration: 14 Feb 201716 Feb 2017

Conference

Conference13th IET International Conference on AC and DC Power Transmission (ACDC 2017)
CountryUnited Kingdom
CityManchester
Period14/02/201716/02/2017

Keywords

  • HVDC transmission
  • Electromechanical transient
  • Modular multilevel converter
  • Power system stability
  • Voltage-sourced converter (VSC)

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    Irnawan, R., Silva, F. M. F. D., Bak, C. L., & Bregnhøj, T. C. (2017). Evaluation of half-bridge modular multilevel converter model for VSC-HVDC transient stability studies. In Proceedings of the 13th IET International Conference on AC and DC Power Transmission (ACDC 2017) (pp. 17-22). Institution of Engineering and Technology. https://doi.org/10.1049/cp.2017.0017