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
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;
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
DOI :
10.1109/ICIEA.2009.5138688