引用本文:王亚洲,荣飞,周保荣,李鸿鑫,饶宏.基于MMC结温波动优化的预测控制策略及其可靠性分析[J].电力自动化设备,2019,39(5):
WANG Yazhou,RONG Fei,ZHOU Baorong,LI Hongxin,RAO Hong.Predictive control strategy based on MMC junction temperature fluctuation optimization and its reliability analysis[J].Electric Power Automation Equipment,2019,39(5):
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基于MMC结温波动优化的预测控制策略及其可靠性分析
王亚洲1, 荣飞1, 周保荣2, 李鸿鑫2, 饶宏2
1.湖南大学电气与信息工程学院,湖南长沙410082;2.南方电网科学研究院有限责任公司直流输电技术国家重点实验室,广东广州510620
摘要:
模块化多电平换流器(MMC)IGBT子模块的平均结温及其波动会显著影响其失效率,进而对系统的可靠性产生影响。在MMC热平衡算法的基础上,分析如何在降低MMC子模块结温分布差异和保持子模块的电容电压波动不变的前提下,只通过改变子模块的投切过程来降低结温波动的可能性。以接近结温波动的最小理论幅值ΔTmin、降低子模块间的结温波动差异为目标,结合预测得到的下一个控制周期中器件的结温,给出温度波动优化的控制策略。采用Coffin-Manson寿命模型和线性累计损伤理论,评估温度优化控制策略下MMC系统的寿命。最后,在MATLAB中搭建10电平仿真模型,仿真结果表明通过对MMC系统进行温度控制可以提高系统的可靠性。
关键词:  模块化多电平换流器  热平衡  功率循环周期  Coffin-Manson寿命模型  可靠性  预测控制
DOI:10.16081/j.issn.1006-6047.2019.05.020
分类号:TM46
基金项目:国家重点研发计划项目(2016YFB0901001)
Predictive control strategy based on MMC junction temperature fluctuation optimization and its reliability analysis
WANG Yazhou1, RONG Fei1, ZHOU Baorong2, LI Hongxin2, RAO Hong2
1.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;2.State Key Laboratory of HVDC, Electric Power Research Institute, China Southern Power Grid, Guangzhou 510620, China
Abstract:
The average junction temperature and the fluctuation of IGBT submodule of MMC(Modular Multilevel Converter) greatly impact its failure rate and further impact the system reliability. Based on the MMC thermal ba-lance algorithm, the possibility reduction of junction temperature fluctuation is analyzed only by changing the swit-ching process of the submodules, while the difference of junction temperature distribution of the MMC submodule is reduced and the capacitor voltage fluctuation of the submodules is set to be consistent. To reduce the difference of junction temperature fluctuation between submodules and approach the minimum theoretical amplitude ΔTmin of junction temperature fluctuation, an optimal control strategy of temperature fluctuation is proposed in combination with the predicted junction temperature of the device in the next control cycle. Using the Coffin-Manson life model and linear cumulative damage theory, the life of MMC system under temperature optimal control strategy is evaluated. Finally, a 10-level simulation model is built in MATLAB. Simulative results show that the temperature control of MMC system effectively improves the system reliability.
Key words:  MMC  thermal balance  power cycle  Coffin-Manson life model  reliability  predictive control

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