Long-Term Climate Impact On IGBT Lifetime

Kjaer, Martin Vang; Yang, Yongheng; Huai, Wenxin; Blaabjerg, Frede

doi:10.23919/epe20ecceeurope43536.2020.9215787

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…The main function of the algorithm is to decompose the irregular profile into a number of regular cycles, which can then be classified in terms of variation amplitude, mean value and cycle duration. These regular cycles can then be directly applied to the strength models of the components [44].…”

Section: Categorization Of the Thermal Loadingmentioning

confidence: 99%

Adequacy Evaluation of an Islanded Microgrid

Kjaer¹,

Wang²,

Blaabjerg³

2021

Electronics

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The reliability of power converters has been extensively examined in terms of component- and converter level. However, in case of multiple generation units, the evaluation of the performance of power systems requires system-level modeling. This paper aims to merge the prior art of reliability modeling of power converters with the adequacy evaluation of power systems through an extensive design and evaluation analysis of a microgrid based case study. The methodology proposed in the paper integrates the device-level analysis into the domain of the conventional power system reliability analysis while outlining the steps needed to deal with non-exponential distributed failures of power electronic-based generation units. A replacement policy of the power electronic-based units is adopted by means of evaluating the system risk of not supplying system loads, and, finally, an approach on how to ensure a desired replacement frequency is outlined.

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Section: Categorization Of the Thermal Loadingmentioning

confidence: 99%

Adequacy Evaluation of an Islanded Microgrid

Kjaer¹,

Wang²,

Blaabjerg³

2021

Electronics

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“…In such approach, inaccuracies are introduced due to using historical data instead of predicted data, as well as using only a single year instead of several years. The later is investigated in [14], [15]. In [14], it is reported that using a one-year mission profile repetitively instead of five years of historical data introduces 7% error in the reliability estimation.…”

Section: Introductionmentioning

confidence: 99%

“…However, the analysis was conducted for a installation site in an arid climate, which impacted the accuracy of the results to large extend. In [15], the mission profiles with a higher level of intra-year variations are examined. The difference in failure percentage of more than 20% is reported.…”

Section: Introductionmentioning

confidence: 99%

Reliability Modelling of Power Electronics with Mission Profile Forecasting for Long-Term Planning

Sandelić

Sangwongwanich

Peyghami

et al. 2022

2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

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The power electronics system reliability is strongly dependent on the environmental and operating conditions at the installation site. During the reliability modelling, a mission profile-based procedure is traditionally employed to account for this dependency. To accurately estimate the reliability, mission profiles need to include the low resolution time intervals (e.g., several minutes per sample). The main forecasting challenge is the accurate prediction of such profiles for long-term prediction horizons, such as several years ahead. Therefore, in this paper, a mission profile forecasting method suitable for long-term reliability-oriented planning is proposed. The benefit of this method includes multi-year mission profile prediction with high time resolution (i.e., 1 minute per sample) suitable for power electronics reliability studies. A case study reveals that the proposed forecasting method enables power electronics modelling with less than 5% relative error in reliability estimation over different time horizons.

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