研究目的
Investigating the effects of reactive power injection on the lifetime of power converters in a DFIG wind turbine system and proposing an optimized reactive power flow to balance the lifetime between the rotor-side converter (RSC) and the grid-side converter (GSC).
研究成果
The paper concludes that the lifetime of the GSC is significantly longer than that of the RSC when there is no reactive power exchange. Over-excited reactive power injection further reduces the RSC's lifetime. An optimized reactive power flow between the GSC and RSC can balance their lifetimes, enhancing the RSC's lifespan by 1.5 times compared to full reactive power support from the RSC.
研究不足
The study focuses on steady-state small thermal cycles and does not consider large cycles caused by wind speed and environmental temperature fluctuations. The experimental validation is performed on a downscale 7.5-kW DFIG system, which may not fully represent the conditions of a full-scale 2-MW system.
1：Experimental Design and Method Selection:
The study evaluates the additional stress on power semiconductors due to reactive power injection in terms of modulation index and current loading. It proposes an optimized reactive power flow between the RSC and GSC to balance their lifetimes.
2：Sample Selection and Data Sources:
A 2-MW wind turbine system is used as a case study, with parameters listed in the Appendix. Experimental validations are performed at a downscale
3：5-kW DFIG prototype. List of Experimental Equipment and Materials:
Two
4：5-kW Danfoss motor drives are used for the GSC and the RSC, controlled by dSPACE Experimental Procedures and Operational Workflow:
The DFIG is externally driven by a prime motor, and the power electronic converters are linked to the grid through an LCL filter. The effects of reactive power injection on the current and voltage stress of the BTB power converters are tested.
5：Data Analysis Methods:
The thermal behavior of power semiconductors is analyzed based on mean junction temperature and junction temperature fluctuation, using the Cof?n–Manson model for lifetime estimation.
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