Abstract
As the essential part of high voltage direct current (HVDC) system, modular multi-level converter (MMC) can be controlled properly, which is related to the safety and stability of the whole system. In actual operation, the influence of different working conditions on the core components is not the same. In this paper, the influence of different working conditions on electronic components is analyzed based on the working principle of MMC. When establishing the system reliability model, considering different backup strategies, k/n (G) model and Gamma distribution are adopted respectively. The effects of two different backup strategies on the system are compared and the effects of the redundancy of submodules on the reliability are analyzed. If the component failure rate is determined, the increase of redundant modules can improve the reliability of the system. Under the same redundancy rate, the cold standby strategy improves the system reliability more obviously.
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Notes
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Project Supported by Project of State Grid Corporation of China (52110418001W).
References
Song Q, Rao H (2015) Analysis and design of HVDC converter. Tsinghua University Press, Beijing
Wang Z, Liu J, Yang X, Zhuo F, Pei Y, Wang Y (2009) Power electronics technology, 5th edn. China Machine Press, Beijing
Wang X, Guo J, Pang H, Wang B, Cai T (2016) Structural reliability analysis of modular multilevel converter. Chin J Electr Eng 36(7):1908–1914
Huang S, Fu X, Rao H, Zhou B, Rong F (2018) Reliability analysis and redundancy configuration strategy of modular multilevel converter based on SEM-markov. Power Autom Equip 38(7):128–133
Xu J, Wang L, Li Y, Zhang Z, Wang G, Hong C (2019) A unified MMC reliability evaluation based on physics-of-failure and SM lifetime correlation. Electr Power Energy Syst, 159–168
Wang Z (2015) Research on modeling and real-time simulation technology of MMC. Beijing Jiaotong University
Duan C (2015) Study on direct power control strategy of MMC. East China Jiaotong University
Li H, Deng J, Yao R, Lai W, Kang S, Jiang Z, Li J, Li Y (2018) Reliability modeling and analysis of MMC converter valve considering operating conditions. Power Autom Equip 38(10):108–114
Guo J, Wang X, Bie Z, Hou Y (2014) Reliability modeling and evaluation of VSC-HVDC transmission systems. In: PES general meeting | conference & exposition, 2014. IEEE
Duan J, Xie Y, Jiang T, Zhu M, Ouyang Y (2018) Reliability research and design optimization of modular multilevel converter valve. Power Eng Technol 37(02):38–43
Zha K, Cao J, Zheng M et al (2019) Reliability evaluation of MMC converter valve module considering failure mode of metallized film capacitors. Autom Electr Power Syst 43(4):86–93. https://doi.org/10.7500/aeps20180709010
Run D, Jun M, Zhou G et al (2008) DC fault active current limiting control method for MMC DC transformer. Autom Electr Power Syst 42(21):131–142
Xu K, Xie S, Yuan X et al (2017) Rapid diagnostic method for submodule failure in modular multilevel converter. Autom Electr Power Syst 41(18):103–110. https://doi.org/10.7500/aeps20161212002
Qiao W, Mao Y (2011) Summary of Shanghai VHVDC demonstration project. East China Electr Power 39(7):1137–1140
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Li, M., Wang, Y., Zhu, C., Xuan, J., Wang, C. (2020). Reliability Analysis Based on MMC Valve Operating Conditions in HVDC System. In: Xue, Y., Zheng, Y., Rahman, S. (eds) Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control. PMF PMF 2019 2021. Lecture Notes in Electrical Engineering, vol 584. Springer, Singapore. https://doi.org/10.1007/978-981-13-9779-0_37
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DOI: https://doi.org/10.1007/978-981-13-9779-0_37
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