Mission profile resolution effects on lifetime estimation of doubly-fed induction generator power converter

Guanguan Zhang, Dao Zhou, Frede Blaabjerg, Jian Yang

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

12 Citations (Scopus)
278 Downloads (Pure)

Abstract

In the wind energy generation system, mission profiles are complicated, which range from seconds to years. In order to estimate the consumed lifetime of the power converter, wind speed profiles with the time resolution of 1 hour, 1 second and 0.5 millisecond are studied in this paper, and the corresponding thermal modeling of power semiconductors are discussed. Accordingly, effects of different mission profiles on the consumed lifetime of the power converter are evaluated. In the above three thermal cycles, the IGBT of the grid-side converter and the diode of the rotor-side converter are more fragile, and the total consumed lifetimes are higher. Moreover, the short-term thermal cycles with milliseconds resolution induce the unbalance of the lifetime between the diode and IGBT of the grid-side converter, while thermal cycles with hour, second, and millisecond resolution consumes the similar lifetime of the power components in the rotor-side converter. Furthermore, it is concluded that the lifetime of power components reduces with the increased time resolution, especially for the rotor-side converter.
Original languageEnglish
Title of host publicationProceedings of 3rd IEEE Southern Power Electronics Conference, SPEC 2017
Number of pages6
PublisherIEEE Press
Publication dateDec 2017
Pages718-723
ISBN (Electronic)978-1-5090-6425-0
DOIs
Publication statusPublished - Dec 2017
Event3rd IEEE Southern Power Electronics Conference, SPEC 2017 - Puerto Varas, Chile
Duration: 4 Dec 20177 Dec 2017

Conference

Conference3rd IEEE Southern Power Electronics Conference, SPEC 2017
Country/TerritoryChile
CityPuerto Varas
Period04/12/201707/12/2017

Keywords

  • Doubly-fed induction generator system
  • Lifetime estimation
  • Multi-timescale thermal models

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