李康, 黄萌, 查晓明, 陈蓉珺. 考虑模块冗余和系统状态的多端柔性直流输电系统可靠性的蒙特卡洛分析[J]. 电网技术, 2025, 49(1): 333-342. DOI: 10.13335/j.1000-3673.pst.2024.0022
引用本文: 李康, 黄萌, 查晓明, 陈蓉珺. 考虑模块冗余和系统状态的多端柔性直流输电系统可靠性的蒙特卡洛分析[J]. 电网技术, 2025, 49(1): 333-342. DOI: 10.13335/j.1000-3673.pst.2024.0022
LI Kang, HUANG Meng, ZHA Xiaoming, CHEN Rongjun. Monte Carlo Analysis of Reliability of MMC-MTDC Considering Module Redundancy and System State[J]. Power System Technology, 2025, 49(1): 333-342. DOI: 10.13335/j.1000-3673.pst.2024.0022
Citation: LI Kang, HUANG Meng, ZHA Xiaoming, CHEN Rongjun. Monte Carlo Analysis of Reliability of MMC-MTDC Considering Module Redundancy and System State[J]. Power System Technology, 2025, 49(1): 333-342. DOI: 10.13335/j.1000-3673.pst.2024.0022

考虑模块冗余和系统状态的多端柔性直流输电系统可靠性的蒙特卡洛分析

Monte Carlo Analysis of Reliability of MMC-MTDC Considering Module Redundancy and System State

  • 摘要: 与传统柔性直流输电系统相比,基于模块化多电平变换器的多端柔性直流输电系统(modular multi-level converter based multi-terminal high voltage direct current,MMC-MTDC)因子模块数量更大、结构更复杂、运行状态更多,使其可靠性建模更具挑战。该文提出一种考虑模块冗余和系统状态的MMC-MTDC可靠性的蒙特卡洛分析方法。首先,以可靠性框图法为基础,建立考虑模块冗余的换流阀可靠性模型,并进一步构建了考虑多设备影响的换流站可靠性模型。其次,在实际运行的多状态转移过程分析基础上,建立了考虑状态转移持续时间的MMC-MTDC概率密度模型,提出了基于蒙特卡洛的MMC-MTDC可靠性模型求解方法。最后,以某实际±200kV的MMC-MTDC系统为例,对多运行方式下的状态概率、状态持续时间及状态频率等可靠性指标进行了求解,研究可为多端柔性直流输电系统可靠性分析提供一定的参考。

     

    Abstract: Compared with traditional flexible DC transmission systems, the modular multi-level converter-based multi-terminal high voltage direct current (MMC-MTDC) system has a larger number of factor modules, a more complex structure, and more operating states, making its reliability modeling more challenging. This article proposes a Monte Carlo analysis method for the reliability of MMC-MTDC considering module redundancy and system state. Firstly, based on the reliability block diagram method, a reliability model for converter valves considering module redundancy was established, and a reliability model for converter stations considering the influence of multiple devices was further constructed. Secondly, based on the analysis of the actual multi-state transition process, an MMC-MTDC probability density model considering the duration of state transition was established, and a Monte Carlo-based reliability model solution method for MMC-MTDC was proposed. Finally, taking an actual ±200kV MMC-MTDC system as an example, the reliability indicators such as state probability, state duration, and state frequency under multiple operating modes were solved. The study can provide some reference for the reliability analysis of MMC-MTDC.

     

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