一个独特的电能质量问题和解决方案的案例研究。阻尼谐波滤波器在环变换器中的应用

M. Baier, J. Sheppard
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引用次数: 4

摘要

正如许多文献所详述的那样,变速驱动器通过扭曲配电系统中的电流和电压波形而导致电能质量的下降。通常应用的解决方案包括在最近的配电总线上连接无源分流滤波器设计的设备。除了改善其连接点的谐波畸变外,这种由电容器组成的滤波器还为应用提供必要的功率因数校正。环转换器代表一种特殊类型的变速交流驱动。最常用的变速驱动器,如变频和变速直流驱动器,在其特征频率处产生谐波。这些频率在时间上是恒定的。除了特征频率外,环变换器频谱还包含随输出变换器频率变化的频率。因此,当考虑对循环变换器应用无源谐波滤波时,必须注意特殊的预防措施。本文的目的是基于一个实际滤波器设计的例子来讨论这种方法。过滤器应用程序的动机与大多数情况相似;通过提高功率因数来降低用电成本,防止因电能质量差而导致设备误操作。虽然目标是共同的,但解决方案却不是。案例研究的详细步骤如下:数据收集和分析、问题和解决方案识别、详细的过滤器工程、实现和验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Case study of a unique power quality problem and solution. Application of a damped harmonic filter to a cycloconverter
As detailed in numerous references, variable speed drives cause degradation of power quality by distorting current and voltage waveforms in the distribution systems. Commonly applied solutions incorporate devices of a passive shunt filter design connected at the nearest power distribution bus. Apart from improving harmonic distortion at the point of their connection, such filters, consisting of capacitors, also provide necessary power factor correction to the application. Cycloconverters represent a special type of variable speed AC drive. Most commonly applied variable speed drives, such as variable frequency and variable speed DC drives, produce harmonics at their characteristic frequencies. These frequencies are essentially constant in time. In addition to the characteristic frequencies, cycloconverter spectra also contain frequencies that vary with the output converter frequency. Therefore, when passive harmonic filtering is considered for a cycloconverter application, special precautions have to be observed. It is the intent of this paper to discuss such an approach based on an example of an actual filter design. The motivation for the filter application was similar to most situations; to reduce the electrical costs by improving the power factor and to prevent equipment misoperation due to poor power quality. While the goal was common, the solution was not. The case study is detailed in the following steps: data collection and analysis, problem and solution identification, detailed filter engineering, implementation, and verification.
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