Online DMD-based Kalman filter for current sensor fault-tolerant control of MMC-HVDC transmission systems

被引：0
|
作者：
Liu, Yuxi [1 ,2 ]
Yang, Yuexi [2 ]
Zhou, Xiao [2 ]
Liu, Yang [1 ]
Wu, Q. H. [1 ]
机构：
[1] South China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Guangdong, Peoples R China
[2] State Grid Smart Grid Res Inst Co Ltd, Beijing 102209, Peoples R China
来源：
ELECTRIC POWER SYSTEMS RESEARCH | 2025年 / 238卷
关键词：
Data-driven; Dynamic mode decomposition; Kalman filter; Local outlier factor; Modular multilevel converters; Sensor fault-tolerant control; HIGH-FREQUENCY RESONANCE; DYNAMIC STATE ESTIMATION; PERFORMANCE;
D O I：
10.1016/j.epsr.2024.111144
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
With the growing application of modular multilevel converter based high-voltage direct current transmission (MMC-HVDC), the sensor fault-tolerant capability in modular multilevel converters has become critical. This paper aims to boost the sensor fault-tolerant performance of the MMC-HVDC systems using advanced data- driven techniques. A novel online dynamic mode decomposition based Kalman filter (ODMDKF) is designed for fault detection and control reconfiguration. Besides, a modified dual-check fault detection module based on local outlier factor algorithm is proposed to reduce false alarm rate. Simulation studies are conducted on a modified IEEE 9-bus system with MMC-HVDC transmission lines. The results indicate that the proposed sensor fault-tolerant control method can ensure the continuous operation of the MMC-HVDC systems under the condition of three types of current sensor faults and its fault-tolerant capability is better than that of extended Kalman filter-based fault-tolerant control method.
引用
收藏
页数：10
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