Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143391
Title: A new flexible power quality conditioner with model predictive control
Authors: Ye, Jian
Gooi, Hoay Beng
Wang, Benfei
Zhang, Xinan
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Ye, J., Gooi, H. B., Wang, B., & Zhang, X. (2019). A new flexible power quality conditioner with model predictive control. IEEE Transactions on Industrial Informatics, 15(5), 2569-2579. doi:10.1109/TII.2018.2874159
Journal: IEEE Transactions on Industrial Informatics
Abstract: This paper presents the topology, analysis, and control implementation of a new single-phase flexible power quality conditioner (FPQC), which can be used for handling voltage- and current-related power quality (PQ) problems. Different from other PQ-compensating devices, the FPQC can work under two compensating modes, i.e., parallel-connection mode (PCM) and series-connection mode (SCM). When the source voltage is unpolluted, the FPQC is working under the PCM so that the load harmonic current and reactive power can be compensated. When the source voltage is polluted, the FPQC is switched to the SCM to mitigate the impact caused by the polluted voltage. In this way, a desired voltage can be maintained at the load side to protect the critical load. The mode switching between PCM and SCM is realized by two relays. To ensure fast dynamics response and smooth transient operation, the model predictive control method is applied to regulate the developed FPQC. Both the simulation platform and laboratorial prototype are built to validate the effectiveness of the system. The simulation and experimental results are presented and discussed.
URI: https://hdl.handle.net/10356/143391
ISSN: 1551-3203
DOI: 10.1109/TII.2018.2874159
Rights: © 2018 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: https://doi.org/10.1109/TII.2018.2874159.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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