Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/82864
Title: Optimization of the size of UPQC system based on data-driven control design
Authors: Ye, Jian
Gooi, Hoay Beng
Wu, Fengjiang
Keywords: Engineering::Electrical and electronic engineering
Unified Power Quality Conditioner (UPQC)
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Issue Date: 2018
Source: Ye, J., Gooi, H. B., & Wu, F. (2018). Optimization of the size of UPQC system based on data-driven control design. IEEE Transactions on Smart Grid, 9(4), 2999-3008. doi:10.1109/TSG.2016.2624273
Series/Report no.: IEEE Transactions on Smart Grid
Abstract: The unified power quality conditioner (UPQC) has become the most attractive solution to improve the power quality (PQ) in the microgrids. However, the high manufacturing cost is a huge challenge of popularizing the UPQC system. This paper investigates the optimal size of the UPQC system based on the compensation requirements. A generalized strategy is proposed to optimize the size of the UPQC system, which determines the fundamental ratings of the shunt converter, series converter, and series transformer. A data-driven control (DDC)-based controller is developed using the variable phase angle control method to realize the implementation of the designed UPQC system under the different compensating conditions. Moreover, the MATLAB and OPAL-RT simulation results validate the practicability of the generalized strategy and the DDC-based controller.
URI: https://hdl.handle.net/10356/82864
http://hdl.handle.net/10220/50294
ISSN: 1949-3053
DOI: 10.1109/TSG.2016.2624273
Schools: School of Electrical and Electronic Engineering 
Rights: © 2016 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/TSG.2016.2624273
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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