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储能系统技术 储能系统 多电平 可靠性分析 故障诊断 ★ 5.0

基于数字孪生的五电平ANPC多电平变换器开路故障诊断

Digital Twin Enabled Open-Circuit Fault Diagnosis for Five-Level ANPC Multilevel Converters

语言:

中文摘要

本文提出一种面向五电平有源中点钳位(5L-ANPC)功率变换器的创新性数字孪生(DT)健康监测策略,针对其在高功率、安全关键应用中因半导体器件数量多而导致可靠性下降的问题。该方法构建实时DT副本,利用直流母线电容与飞跨电容电压、负载电流及开关模式等现有信号,在无需额外传感器的前提下实现开关开路故障的快速在线诊断,检测时间小于一个输出基波周期。实验结果验证了该DT健康监测方法在多种工况下的鲁棒性与有效性,显著提升系统可靠性并降低维护成本。

English Abstract

This article presents an innovative digital twin (DT) strategy for health monitoring of five-level active neutral point clamped (5L-ANPC) power converters, which are extensively utilized in high-power, safety-critical applications. Despite their widespread use, the reliability of 5L-ANPC inverters is often compromised due to the large number of semiconductor devices employed, posing challenges for their broader deployment in safety-critical applications. The proposed approach introduces a real-time DT replica that continuously monitors crucial parameters to assess the inverter’s performance and detect open-circuit (OC) faults in the switches. This methodology not only enhances reliability but also reduces maintenance downtime costs. Specifically focusing on OC switching faults, this article presents a fast online DT-based fault diagnostic method. The proposed diagnostic technique leverages the existing dc-link capacitor and flying capacitor voltages, along with load current data and switching patterns, eliminating the need for any additional sensors. The detection process takes less than a fundamental period of the inverter output frequency to diagnose any faulty switch accurately. Experimental results validate the robustness and effectiveness of the proposed DT health monitoring method across various operating conditions.
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SunView 深度解读

该数字孪生故障诊断技术对阳光电源ST系列储能变流器和PowerTitan大型储能系统具有重要应用价值。五电平ANPC拓扑与阳光电源储能产品采用的多电平技术架构高度契合,其无需额外传感器、仅利用现有电压电流信号实现快速故障诊断的方案,可直接集成至iSolarCloud智能运维平台,增强预测性维护能力。检测时间小于一个基波周期的快速响应特性,能显著提升大型储能电站的可靠性和可用率,降低OPEX成本。该方法对SG系列三电平光伏逆变器的功率器件健康管理同样具有借鉴意义,可作为阳光电源下一代智能诊断算法的技术储备,推动从被动维护向主动预测转型。