基于支持向量机的模块化多电平换流器子模块开路故障诊断方法

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Abstract With the increasing application range of modular multilevel converters (MMC), the open circuit fault diagnosis methods of MMC submodules have become a research hotspot. MMC has fewer fault samples, more normal samples, and too many redundant submodules. In response to these issues, an open circuit fault diagnosis method for MMC submodule based on support vector machine (SVM) is proposed in this paper, which determines whether the faults of the submodules occur within or outside the region, in order to achieve detection and localization of the submodules. Based on the open circuit fault characteristics of the MMC submodule, the capacitor voltage of the submodule is selected as the sample feature. Subsequently, the impact of submodule faults on phase A, B, and C samples is analyzed. By assigning different weight coefficients to normal samples of phase A, B, and C, the accuracy of fault identification is improved. Finally, the effectiveness of the proposed method is demonstrated with the constructed MMC simulation model.

Key words： modular multilevel converter (MMC) open circuit fault of submodule fault diagnosis sample differentiation support vector machine (SVM)

Received: 26 July 2023

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	Articles by authors
	WEI Yintu
	ZHANG Yang
	WEN Buying
	WANG Huaiyuan

Cite this article:

WEI Yintu,ZHANG Yang,WEN Buying等. Open circuit fault diagnosis method for modular multilevel converter submodule based on support vector machine[J]. Electrical Engineering, 2023, 24(10): 1-7.

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http://dqjs.cesmedia.cn/EN/Y2023/V24/I10/1

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