Reliability Analysis and Design of MMC Based on Mission Profile for the Components Degradation

Lv, Gangming; Lei, Wanjun; Wang, Meng; Lv, Chunlin; Zhao, Jiaqi

doi:10.1109/access.2020.3016686

Cited by 11 publications

(6 citation statements)

References 19 publications

(24 reference statements)

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“…However, if the number of failed submodules on one arm exceeds the number of redundant submodules, this arm will fail. If any of the arms and converter-level components in the MMC has failed, the converter will fail [23].…”

Section: Failure Mechanism Of Mmcs and Main Steps For Obtaining The P...mentioning

confidence: 99%

A Tractable Failure Probability Prediction Model for Predictive Maintenance Scheduling of Large-Scale Modular-Multilevel-Converters

Peyghami

Núñez

et al. 2023

IEEE Trans. Power Electron.

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Modular-multilevel-converters (MMCs) are vital components in direct current transmission networks. Predictive maintenance scheduling of MMCs requires estimations of the failure probabilities of MMCs during a period of time in the future. Particularly, the predicted future failure probabilities are influenced by two main factors, the mission profiles of the MMCs and the maintenance decisions on the MMCs during the prediction period. This paper proposes a failure probability prediction model (FPM) for MMCs by considering these two factors. First, the expectations of the failure probabilities of the components for all the scenarios of mission profiles are obtained. Second, in predictive maintenance scheduling problems, the decisions to perform the maintenance actions are represented by binary variables. When the number of submodules is very large, using the binomial probability form currently used in reliability engineering to express the "r-out-of-n" failure probability of arms of the MMCs is intractable. Thus, this paper proposes a tractable form (T-form) in FPM by observing that the submodules on one arm are homogeneous. Furthermore, an approximation method, i.e., clustering and assignment (C&A), is proposed to reduce the computation times for calculating the parameters needed by the proposed T-form. Then, we perform a case study that assesses the accuracy and computation time of the C&A approach. The results show that the accuracy of the C&A approach is high and that the computation time is reduced significantly compared with the accurate method. We also show that the computation time for solving the predictive maintenance scheduling problem can be reduced hugely by using the T-form instead of the binomial probability form.

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Section: Failure Mechanism Of Mmcs and Main Steps For Obtaining The P...mentioning

confidence: 99%

A Tractable Failure Probability Prediction Model for Predictive Maintenance Scheduling of Large-Scale Modular-Multilevel-Converters

Peyghami

Núñez

et al. 2023

IEEE Trans. Power Electron.

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“…Based on the data used in several studies [24][25][26], we consider that the typical failure rate of IGBTs is 250 FIT. The average IGBT temperature obtained from figure 11 is about 75 °C, which is common in practical applications [27,28], and the junction temperature can be considered as corresponding to the typical IGBT failure rate value of 250 FIT. The junction temperature fluctuation of IGBTs is 20 °C, which is also within the fluctuation range of usual applications [29].…”

Section: Simulation Verificationmentioning

confidence: 99%

DC active power filter based on model predictive control for DC bus overvoltage suppression of accelerator grid power supply

Zhang

Zhu²,

et al. 2023

Plasma Sci. Technol.

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China Fusion Engineering Test Reactor (CFETR) plans to build a 200kV/25A accelerator grid power supply (AGPS) for the negative-ion-based neutral beam injector (N-NBI) prototype system. The AGPS uses a rectifier-inverter-isolated step-up structure. There is a DC bus between the rectifier and the inverter. In order to limit DC bus voltage ripple and transient fluctuations, a large number of capacitors are used, which degrades the reliability of the power supply and occupies a large amount of space. This paper finds that due to the difference in the turn-off time of the rectifier and the inverter, the capacitance mainly depends on the rectifier current when the inverter is turned off. On this basis, a power active filter (APF) scheme is proposed to absorb the current. To enhance the dynamic response ability of APF, model predictive control is adopted. In this paper, the circuit structure of APF is introduced, the prediction model is deduced, the corresponding control strategy and signal detection method are proposed, and the simulation and experimental results show that APF can track the transient current of DC bus and reduce the voltage fluctuation obviously.

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“…They concluded that the reliability of these converters could be improved by selecting appropriate converter topologies and mission profiles. A recent study [ 15 ] has presented an innovative approach for analyzing and designing the reliability of a modular multilevel converter (MMC) system. The proposed method takes into account factors such as IGBT lifetime degradation, mission profile, and thermal network updating methods to optimize redundancy design for better cost trade-off.…”

Section: Introductionmentioning

confidence: 99%

Assessing the impact of PV panel climate-based degradation rates on inverter reliability in grid-connected solar energy systems

Alavi,

Kaaya,

De Jong

et al. 2024

Heliyon

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Reliability Analysis and Design of MMC Based on Mission Profile for the Components Degradation

Cited by 11 publications

References 19 publications

A Tractable Failure Probability Prediction Model for Predictive Maintenance Scheduling of Large-Scale Modular-Multilevel-Converters

A Tractable Failure Probability Prediction Model for Predictive Maintenance Scheduling of Large-Scale Modular-Multilevel-Converters

DC active power filter based on model predictive control for DC bus overvoltage suppression of accelerator grid power supply

Assessing the impact of PV panel climate-based degradation rates on inverter reliability in grid-connected solar energy systems

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