Reliability Evaluation of MMC-MTDC System Considering Device Failure Rates and Multi-State Transition

IF 1.8 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Kang Li, Xiaoming Zha, Meng Huang, Rongjun Chen, Zhimin Lu
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引用次数: 0

Abstract

The modular multi-level converter based multi-terminal high voltage direct current (MMC-MTDC) system, with its numerous power devices and diverse operating states, poses a significant challenge for reliability evaluation. The paper introduces a method for modeling and assessing the reliability of MMC-MTDC, considering both power device failure rates and multi-state transitions of multiple terminals. To determine the weights of influence, the analytic hierarchy process (AHP) is employed to evaluate the impact of sub-modules (SMs), the controller system, and the water cooling systems of an MMC. Subsequently, a multi-state transition model is established to describe the changes in the operation mode of the MMC-MTDC. On this basis, the reliability evaluation via semi-Markov processes is implemented. A case study is performed on the reliability of a ±200 kV five-terminal system and the results are compared with practical operation data.

考虑设备故障率和多状态转换的MMC-MTDC系统可靠性评估
基于模块化多电平变换器的多端高压直流(MMC-MTDC)系统功率器件多、运行状态多样,给系统可靠性评估带来了巨大挑战。本文介绍了一种考虑功率器件故障率和多终端多状态转换的MMC-MTDC可靠性建模和评估方法。为了确定影响权重,采用层次分析法(AHP)对MMC的子模块(SMs)、控制器系统和水冷却系统的影响进行评估。随后,建立了多状态转换模型来描述MMC-MTDC运行模式的变化。在此基础上,实现了基于半马尔可夫过程的可靠性评估。对±200kv五端系统的可靠性进行了实例分析,并与实际运行数据进行了比较。
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来源期刊
International Journal of Circuit Theory and Applications
International Journal of Circuit Theory and Applications 工程技术-工程:电子与电气
CiteScore
3.60
自引率
34.80%
发文量
277
审稿时长
4.5 months
期刊介绍: The scope of the Journal comprises all aspects of the theory and design of analog and digital circuits together with the application of the ideas and techniques of circuit theory in other fields of science and engineering. Examples of the areas covered include: Fundamental Circuit Theory together with its mathematical and computational aspects; Circuit modeling of devices; Synthesis and design of filters and active circuits; Neural networks; Nonlinear and chaotic circuits; Signal processing and VLSI; Distributed, switched and digital circuits; Power electronics; Solid state devices. Contributions to CAD and simulation are welcome.
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