Please use this identifier to cite or link to this item:
Title: Multiple-Vector Model Predictive Power Control of Four-Switch Three-Phase Rectifiers with Capacitor Voltage Balancing
Authors: Zhou, Dehong
Li, Xiaoqiang
Tang, Yi
Keywords: Capacitor Voltage Balancing
Three-phase Four-switch Rectifier (TPFSR)
Issue Date: 2017
Source: Zhou, D., Li, X., & Tang, Y. (2017). Multiple-Vector Model Predictive Power Control of Four-Switch Three-Phase Rectifiers with Capacitor Voltage Balancing. IEEE Transactions on Power Electronics, 33(7), 5824 - 5835.
Series/Report no.: IEEE Transactions on Power Electronics
Abstract: Model-predictive power control (MPPC) takes the switching nonlinearity of power converters and system constraints into consideration. It is a promising control technique for three-phase four-switch rectifiers (TPFSRs) because capacitor-voltage-balancing control and instantaneous power control can be simultaneously designed for this type of power converters. However, since only one switching vector is allowed in each control interval, conventional MPPC (C-MPPC) may lead to significant output power ripples that can severely degrade system power quality. This is particularly true for TPFSRs due to the limited number of switching states as well as the constraint imposed by the capacitor-voltage-balancing control. To improve the performance of TPFSRs, this paper proposes a multiple-vector MPPC scheme, which can minimize active power and reactive power ripples and achieve capacitor voltage balancing with a constant switching frequency. An equivalent zero-voltage vector model and a capacitor-voltage-balancing model are derived to implement the proposed control scheme. Comparative experimental results are presented to demonstrate the superiority of the proposed control scheme over the C-MPPC.
ISSN: 0885-8993
DOI: 10.1109/TPEL.2017.2750766
Rights: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

Citations 10

Updated on Sep 2, 2020

Citations 10

Updated on Mar 6, 2021

Page view(s) 50

Updated on Jan 24, 2022

Download(s) 50

Updated on Jan 24, 2022

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.