Online Estimation of DC-link Capacitor Parameters of Three-Level NPC Converters Using Inherent Signals Analysis

IF 19.2 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Ricardo Lucio De Araujo Ribeiro;Reuben Palmer Rezende De Sousa;Alexandre Cunha Oliveira;Antonio Marcus Nogueira Lima;Qing-Long Han
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引用次数: 0

Abstract

This paper presents a method for estimating the parameters of DC-link capacitors in three-level NPC voltage source inverters (3L-NPC-VSI) used in grid-tied systems. The technique uses the signals generated by the intermodulation caused by the PWM strategy and converter topology interaction to estimate the capacitor parameters of the converter DC-link. It utilizes an observer-based structure consisting of a recursive noninteger sliding discrete Fourier transform (rnSDFT) and an RLS filter improved with a forgetting factor (oSDFT-RLS) to accurately estimate the capacitance and equivalent series resistance (ESR). Importantly, this method does not require additional sensors beyond those already installed in off-the-shelf 3L-NPC-VSI systems, ensuring its noninvasiveness. Furthermore, the oSDFT-RLS estimates capacitor parameters in the time-frequency domain, enabling the tracking of capacitor degradation and predicting potential faults. Experimental results from the laboratory setup demonstrate the effectiveness of the proposed condition monitoring method.
基于固有信号分析的三电平NPC变换器直流电容参数在线估计
本文提出了并网系统中三电平NPC电压源逆变器(3L-NPC-VSI)直流链路电容参数的估计方法。该技术利用PWM策略和变换器拓扑相互作用产生的互调信号来估计变换器直流链路的电容参数。它采用了一种基于观测器的结构,该结构由递归非整数滑动离散傅里叶变换(rnSDFT)和一个改进了遗忘因子的RLS滤波器(oSDFT-RLS)组成,以准确估计电容和等效串联电阻(ESR)。重要的是,除了现成的3L-NPC-VSI系统中已经安装的传感器外,该方法不需要额外的传感器,从而确保了其非侵入性。此外,oSDFT-RLS在时频域估计电容器参数,实现了对电容器退化的跟踪和潜在故障的预测。实验室装置的实验结果证明了所提出的状态监测方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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