Abstract：The modular multi-level converter(MMC),with the advantage of modularization,has becoming the core topology under the condition of high voltage and power.The diagnostic technique for common sub module faults in the MMC system directly affects the security and stable operation of the system.On the foundation of analyzing the MMC discrete mathematical model and the internal state change when sub-module power unit malfunctions,a novel fault diagnosis strategy for the MMC based on the extended Kalman filter algorithm(EKFA) is proposed to quickly determine whether the system is in a fault condition through observing the internal circular current state of the system.Firstly,the EKF equations are built referring to the discrete mathematical model.Secondly,the discretion mechanism and positioning method of the fault diagnosis system are built.Lastly,the comparative analysis of simulation and experiment is done under different fault conditions of sub-modules to verify the feasibility and effectiveness of the fault diagnosis strategy mentioned above.The experimental results show that the fault diagnosis strategy proposed in this paper can quickly determine the fault state and locate the fault location,and can therefore improve the safety performance of the MMC system.
殷实,谭国俊. 5一种基于扩展卡尔曼滤波算法的MMC系统故障诊断策略[J]. 电工技术学报, 2016, 31(19): 74-84.
Yin Shi ,Tan Guojun. A Novel Fault Diagnosis Strategy of MMC System Based on EKFA. Transactions of China Electrotechnical Society, 2016, 31(19): 74-84.
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2016, Vol. 31 
