DocumentCode :
2222736
Title :
Model Predictive Control of Unified Power Quality Conditioner for Power Quality Improvement
Author :
Kwan, K.H. ; Png, Y.S. ; Chu, Y.C. ; So, P.L.
Author_Institution :
Nanyang Technol. Univ., Singapore
fYear :
2007
fDate :
1-3 Oct. 2007
Firstpage :
916
Lastpage :
921
Abstract :
This paper presents a model predictive control (MPC) design for the unified power quality conditioner (UPQC), an integration of series and shunt active filters to improve power quality in a power distribution system. The control strategy aims to regulate the load voltage and the source current to the desired references 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 non-unity power factor of the supply side. Kalman filters are used to extract the fundamental as well as the harmonic components abovementioned, which will then be used to formulate the desired references and regarded as measurable disturbances, respectively. Based on a state-space model developed for the UPQC, an MPC controller is designed. Simulation studies on a single-phase power distribution system are also presented to verify the performance.
Keywords :
Kalman filters; control system synthesis; electric current control; power distribution control; predictive control; state-space methods; voltage control; Kalman filters; load voltage regulation; model predictive control; power quality improvement; single-phase power distribution system; source current regulation; state-space model; unified power quality conditioner; Active filters; Power distribution; Power harmonic filters; Power quality; Power system harmonics; Power system modeling; Predictive control; Predictive models; Reactive power; Voltage control; Kalman filters; MPC; UPQC; power quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 2007. CCA 2007. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0442-1
Electronic_ISBN :
978-1-4244-0443-8
Type :
conf
DOI :
10.1109/CCA.2007.4389350
Filename :
4389350
Link To Document :
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