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Fast Diagnosis Method for Submodule Failures in MMCs Based on Improved Incremental Predictive Model of Arm Current

机译:基于改进的臂电流增量预测模型的MMC子模块故障快速诊断方法

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摘要

The rapid and correct isolation of faulty submodules (SMs) is of great importance for improving the reliability of modular multilevel converters (MMCs). Therefore, a fast diagnosis method containing fault detection and fault location determination was presented in this paper. An improved incremental predictive model of arm current was proposed to detect failures, and the multi-step prediction method was used to eliminate the negative impact of disturbances. Moreover, a control method was proposed to strengthen the fault characteristics to rapidly locate faulty arms and faulty SMs by detecting the variation rate of the SM capacitor voltage. The proposed method can rapidly and easily locate faulty SMs under different load conditions without the need for additional sensors. The experimental results have validated the effectiveness of the proposed method by using a single-phase MMC with four SMs per arm.
机译:故障子模块(SM)的快速正确隔离对于提高模块化多电平转换器(MMC)的可靠性至关重要。因此,本文提出了一种包含故障检测和故障定位的快速诊断方法。提出了一种改进的臂电流增量预测模型来检测故障,并采用多步预测方法消除了干扰的负面影响。此外,提出了一种控制方法,通过检测SM电容器电压的变化率来增强故障特性,以快速定位故障臂和故障SM。所提出的方法可以快速,轻松地定位不同负载条件下的故障SM,而无需额外的传感器。实验结果通过使用每臂四个SM的单相MMC验证了该方法的有效性。

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