Login | Register

DSP-based control of static power quality compensators in industrial power systems


DSP-based control of static power quality compensators in industrial power systems

Chen, Su (2005) DSP-based control of static power quality compensators in industrial power systems. PhD thesis, Concordia University.

Text (application/pdf)
NR04056.pdf - Accepted Version


The increased use in industry of sensitive power electronics-based equipment resulted in concerns about power quality in distribution systems. This has led to the proposal of more stringent requirements regarding power quality, in terms of current harmonics, as reflected in standards such as IEEE-519, and in terms of voltage faults. By exploiting recent advances made in power electronics and digital control circuits, this thesis develops new power conditioning solutions based on the PWM voltage source converter, with emphasis on their dynamic response. The proposed compensators include four-switch and six-switch based series and shunt configurations. The proposed control strategies implement state-space feedback control of the series compensator, direct power control of the shunt compensator and unified deadbeat control of the combined series-parallel compensator. These control algorithms present a number of advantages such as dealing with time varying control references in series compensation, integrating multiple control variables into one control loop in shunt compensation, and unified control of the combination of series-parallel converters. The improvements cover the global control functions as well as direct converter control and PWM functions. Simulation and experimental results from laboratory prototypes confirm the theoretical considerations.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Thesis (PhD)
Authors:Chen, Su
Pagination:xix, 193 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:Ph. D.
Program:Electrical and Computer Engineering
Thesis Supervisor(s):Joós, Géza
ID Code:8264
Deposited By: Concordia University Library
Deposited On:18 Aug 2011 18:20
Last Modified:18 Jan 2018 17:32
Related URLs:
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Back to top Back to top