Lifetime Evaluation of IGBT Module in DFIG Considering Wind Turbulence and Nonlinear Damage Accumulation Effect

Li, Chunli; Tan, Zefu; Huang, Qian; Nie, Wenliang

doi:10.1109/auteee48671.2019.9033443

Cited by 7 publications

(4 citation statements)

References 7 publications

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“…Commonly, this is achieved by Rainflow counting algorithm [94,126,127]. The second step is to estimate lifetime using cumulative degradation (damage) model [21,23,128,129]. Fig.…”

Section: Lifetime Modelsmentioning

confidence: 99%

A Review on IGBT Module Failure Modes and Lifetime Testing

2021

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“…Commonly, this is achieved by Rainflow counting algorithm [94,126,127]. The second step is to estimate lifetime using cumulative degradation (damage) model [21,23,128,129]. Fig.…”

Section: Lifetime Modelsmentioning

confidence: 99%

A Review on IGBT Module Failure Modes and Lifetime Testing

2021

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“…These wind turbines have a great pitch adjustment system that allows them to recover their voltage after grid disturbances [9,10] and operate in a broad range to maximize energy absorption [7,8]. However, the back-to-back power converter in a PMSG wind turbine is fully rated, whereas that in a DFIG wind turbine is only rated at 50%.…”

Section: Introductionmentioning

confidence: 99%

ANFIS-Fuzzy Logic-based Hybrid DFIG and PMSG Grid Connected System with TCSC

Karthi,

Ramkumar

2024

International Journal of Electrical Engineering and Computer Science

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Variable-speed wind turbines might provide green electricity. Grid operators’ grid regulations require wind turbines to recover from grid disruptions and help maintain electricity networks. Having wind turbines equipped with fault current limiters (FCLs) may ensure their continued functioning in the event of a power loss. In this piece, we will talk about how to improve the two most common types of variable-speed wind turbines: the Doubly Fed Induction Generator (DFIG) and the Permanent Magnet Synchronous Generator (PMSG). Both wind generators were evaluated using the Thyristor Controlled Series Compensator (TCSC) with ANFIS and Fuzzy Logic. It is important to understand the dynamic behavior of wind turbines, hence models of their FCLs were built for steady state and grid disruptions. Power interruptions switched the FCLs in both wind turbines utilising grid voltage variation. Both wind turbines underwent a no-control FCL scenario. Both wind turbines’ FCLs were measured and compared under load from a severe three-phase to ground failure at their terminals. Both wind turbines were operated under similar circumstances to examine FCL control tactics during power interruptions.

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“…In [12], a comparison has been made of the power electronics lifetime for 5MW horizontal-and vertical-axis wind turbines, based on dynamic models supplied with generated wind speed time series. Literature in [13][14][15][16] depicts the lifetime evaluation of power devices considering the effect of change in wind speed and electrical loading conditions. In [17], DFIG wind turbine productivity was studied considering the electrical subassembly reliability.…”

Section: Introductionmentioning

confidence: 99%

Module Lifetime Evaluation Method for the Power Converter of the DFIG Based on the Analysis of the Field Wind Speed Probability and Ambient Temperature

Zhang

Wei

2022

IEEE Access

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The junction temperature fluctuation (△Tj) of the doubly fed induction generator (DFIG) around the synchronous speed point, deteriorates the reliability of the power converter considerably. Therefore, a lifetime evaluation method for the power converter of DFIG is proposed in this paper. Combining the speed-power curve of the generator with the grid side converter (GSC) and the rotor side converter (RSC), and using the equivalent thermo-electric network of IGBT module, the junction temperature (Tj) model of the power converter is established to calculate the average junction temperature and fundamental frequency temperature fluctuation. Based on the field measured data of the wind speed probability and ambient temperature of three wind power plants in different latitude region, the operation life curves of GSC and RSC are obtained by curve fitting, and the life spans of five type of power modules are evaluated and compared. It can be seen that the lifetime of the converter could be reduced significantly due to the ambient temperature-induced low frequency temperature fluctuations in the thermal cycling, while, the fundamental frequency thermal cycle caused by the running frequency of the converter has slight effect on the overall life.INDEX TERMS Junction temperature fluctuation, doubly fed induction generator, lifetime evaluation method, wind speed probability, power modules

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Lifetime Evaluation of IGBT Module in DFIG Considering Wind Turbulence and Nonlinear Damage Accumulation Effect

Cited by 7 publications

References 7 publications

A Review on IGBT Module Failure Modes and Lifetime Testing

A Review on IGBT Module Failure Modes and Lifetime Testing

ANFIS-Fuzzy Logic-based Hybrid DFIG and PMSG Grid Connected System with TCSC

Module Lifetime Evaluation Method for the Power Converter of the DFIG Based on the Analysis of the Field Wind Speed Probability and Ambient Temperature

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