Abstract
This article aims to incorporate the reliability model of power electronic converters into power system reliability analysis. The converter reliability has widely been explored in device- and converter-levels according to physics of failure analysis. However, optimal decision-making for design, planning, operation, and maintenance of power electronic converters require system-level reliability modeling of power electronic-based power systems. Therefore, this article proposes a procedure to evaluate the reliability of power electronic-based power systems from the device-level up to the system-level. Furthermore, the impact of converter failure rates including random chance and wear-out failures on power system performance in different applications such as wind turbine and electronic transmission lines is illustrated. Moreover, because of a high calculation burden raised by the physics of failure analysis for large-scale power electronic systems, this article explores the required accuracy for reliability modeling of converters in different applications. Numerical case studies are provided employing modified versions of the Roy Billinton Test System (RBTS). The analysis shows that the converter failures may affect the overall system performance depending on its application. Therefore, an accurate converter reliability model is, in some cases, required for reliability assessment and management in modern power systems.
Highlights
E LECTRIC power system modernization is essential for reliable and secure power delivery with a low-to-zero carbon footprint
Wear-out of WT converter (WTC) and WF converters (WFCs) causes 5080 MWh/year in location A and 7660 MWh/year in location B more energy not produced (EENP) compared to the base case, which are equal to 27% and 41% of the base case, respectively
The results show that increasing the WFC Forced outage rate (FOR) remarkably increases the wind farm (WF) EENP, while the impact of WTC on the EENP is not considerable
Summary
E LECTRIC power system modernization is essential for reliable and secure power delivery with a low-to-zero carbon footprint. In order to avoid these issues, appropriate strategies must be adopted for optimal decision-making in planning, operation, and maintenance of modern power electronic-based systems This requires system-level reliability analysis by incorporating the converter reliability modeling in power system reliability assessment. This procedure is very time-consuming, and in practice, for large-scale power systems is almost impossible This is due to the fact that the electrothermal modeling based on SSA requires time-domain analysis with the time frame of interest from microsecond associated with the converter switching frequency up to the hourly load variations. 1) Since any decision-making regarding converters operation, planning, and maintenance must be performed at the system-level, the system-level reliability modeling in power electronic-based systems is of high importance.
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