Sequential Model Predictive Fault-Tolerance Control for T-Type Three-Level Grid-Connected Converters With LCL Filters

模型预测控制 控制理论(社会学) 容错 加权 断层(地质) 总谐波失真 网格 转换器 滤波器(信号处理) 电压 计算机科学 工程类 控制(管理) 数学 可靠性工程 医学 几何学 电气工程 人工智能 地震学 计算机视觉 放射科 地质学
作者
Bo Long,Tianxu Cao,DaWei Sheng,José Rodríguez,Josep M. Guerrero,Kil To Chong
出处
期刊:IEEE Transactions on Industrial Electronics [Institute of Electrical and Electronics Engineers]
卷期号:69 (9): 9039-9051 被引量:14
标识
DOI:10.1109/tie.2021.3114711
摘要

Recently, fault-tolerance control (FTC) methods have been proposed to further improve the reliability of T-type three-level converters. However, the application of model predictive control (MPC) in FTCs is rare, and the neutral point (NP) voltage imbalance before an open-switch fault occurs has not been solved. This article focuses on these two problems and proposes two FTC control methods: sequential MPC and sequential model predictive tolerance control. Both methods are implemented by designing a sequential predictive control that first considers the NP voltage balance and then grid current tracking. Through the staggered operation of the two methods, a T-type grid-connected converter with an LCL filter can operate normally after an open-switch fault occurs. Moreover, both methods can achieve the NP voltage balance and excellent grid current outputs, eliminate the time-consuming selection of weighting factors, and reduce the number of calculation loops compared with the traditional model predictive tolerance control, thereby improving the control flexibility. The performance and comparison of the open-switch FTC with respect to the NP voltage oscillations, total harmonic distortion of the grid current, and pole voltage were demonstrated using numerous simulation and experimental results.

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