DocumentCode
2339819
Title
Model Predictive Control of Unified Power Quality Conditioner with control saturation
Author
Zhang, Xu ; Chu, Yun Chung ; Ling, Keck Voon ; Yang, Xueyou
Author_Institution
State Key Lab. of Precision Meas. Technol. & Instrum., Tianjin Univ., Tianjin, China
fYear
2009
fDate
25-27 May 2009
Firstpage
2651
Lastpage
2656
Abstract
A Unified Power Quality Conditioner (UPQC) is an integration of series and shunt active filters to improve power quality in a power distribution system. Model-based control of UPQC has attracted attentions in recent years, which aims to regulate the source current and the load voltage to the desired reference signals in spite of the existence of harmonic components in the supply voltage and the load current, possible sag or swell in the supply voltage, and variations in the load current. However, most of the previous studies did not take the control saturation explicitly into their control design. This paper investigates the performance limit of UPQC under control input constraints by means of a Model Predictive Controller (MPC). MPC is an optimal control strategy that can take into account control constraints explicitly. Simulation studies, mainly focused on the comparison of performance between the MPC and a linear Multi-Variable Regulator (MVR), are carried out on a single-phase power distribution system to help us understand the performance limit under such control saturation.
Keywords
multivariable control systems; power control; power supply quality; predictive control; control saturation; multivariable regulator; predictive control; single-phase power distribution system; supply voltage; unified power quality conditioner; Active filters; Control system synthesis; Optimal control; Power distribution; Power harmonic filters; Power quality; Power system modeling; Predictive control; Predictive models; Voltage control; MPC; UPQC; input constraints; power quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-2799-4
Electronic_ISBN
978-1-4244-2800-7
Type
conf
DOI
10.1109/ICIEA.2009.5138688
Filename
5138688
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