Level Selection Algorithm with Fixed Sampling Frequency for Modular Multilevel Converter

Chan-Ki Kim, Chanz-Hwan Park, Janz-Mok Kim
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引用次数: 3

Abstract

This paper deals with a level selection algorithm with fixed sampling frequency for Modular Multilevel Converter(MMC) system. Theoretically, the proposed method increases the level infinitely while the sampling time remains the same. The proposed method called Cluster Stream Buffer(CSB) consists of several cluster where each cluster is composed of 32 (or 17) submodules. For an increase in the level of the MMC system, additional clusters are used and the sampling time between clusters is determined from the sampling time between levels needed for utilizing the entire level from the MMC system. This method plays a vital role in the control of MMC type HVDC system by improving its scalability and precision.
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模块化多电平变换器的固定采样频率电平选择算法
研究了模块化多电平变换器(MMC)系统中固定采样频率的电平选择算法。从理论上讲,该方法在保持采样时间不变的情况下,将电平无限提高。所提出的方法称为集群流缓冲(CSB),由几个集群组成,每个集群由32(或17)个子模块组成。为了提高MMC系统的级别,使用额外的集群,集群之间的采样时间由利用MMC系统的整个级别所需的级别之间的采样时间决定。该方法提高了MMC型直流系统的可扩展性和精度,对MMC型直流系统的控制起着至关重要的作用。
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