研究目的
To assess and compare the reliability metrics for the machine-side converter (MSC) for low-speed (LS) and medium-speed (MS) permanent-magnet synchronous generators (PMSGs) configurations in wind turbine systems.
研究成果
The lifespan of the MSC equipped with an LS PMSG is much lower than the one-stage MS generator due to higher thermal cycling caused by its lower operational frequency. A higher rating of the power converter may be required for the LS generator for similar lifespan as the MSC equipped with the MS generator.
研究不足
The study assumes a unified failure mechanism for power modules, linear damage accumulation in fatigue, and does not consider the confidence level due to parameter variation. The analysis is focused on the power electronic converters and does not account for other system components like the gearbox in MS generators.
1:Experimental Design and Method Selection:
The study involves modeling the synchronous generator to translate the mission profile of the turbine to the current and voltage loading of each power semiconductor. A simplified approach is used to calculate the loss profile and the thermal profile to determine the most stressed power semiconductors in the converter.
2:Sample Selection and Data Sources:
A 2-MW wind turbine is used as a case study, with parameters listed for both LS and MS PMSGs.
3:List of Experimental Equipment and Materials:
The study focuses on the power electronic components, specifically the IGBT and diode chips in the MSC.
4:Experimental Procedures and Operational Workflow:
The procedure starts with the analysis of the power profile to establish the relationship between output power and wind speed. The PMSG model and loss model for power electronic components are used to calculate loss dissipation. The thermal model of the power module is then used to calculate the thermal profile.
5:Data Analysis Methods:
The lifetime of the power semiconductor is analyzed using the Cof?n–Manson lifetime model and the on-state time effect, considering the mission profile.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容