Open AccessTwo methods to control neutral‐point voltage fluctuation for a hybrid VIENNA rectifier
Author(s) -
Song WeiZhang,
Xie Nan,
Wang YouYun,
Dai ZhiHao,
Pat Wheeler
Publication year - 2018
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.0030
Subject(s) - rectifier (neural networks) , precision rectifier , peak inverse voltage , control theory (sociology) , topology (electrical circuits) , point (geometry) , voltage , computer science , capacitor , three phase , power factor , control (management) , mathematics , engineering , electrical engineering , artificial intelligence , artificial neural network , voltage optimisation , stochastic neural network , geometry , recurrent neural network
This study presents two neutral‐point balance control methods for a hybrid VIENNA rectifier, which is composed of a parallel system of a single‐switch three‐phase Boost rectifier and a VIENNA rectifier. Each rectifier in this topology processes part of the output power, therefore, a highly efficient and reliable performance is achieved in this rectifier system. However, the unbalance voltage of two DC‐link capacitors in the VIENNA‐type three level rectifier is also reflected in this hybrid rectifier. The fluctuation reason in neutral‐point has been analysed using a mathematical model, meanwhile, the two methods with a hybrid algorithm and a simplified method based on zero‐sequence component injection are proposed to control neutral‐point fluctuation in this hybrid rectifier system. Furthermore, the performance comparison between these two methods is provided. The effectiveness of the two control methods has been verified using experimental results.