Efficient and robust model predictive control for first swing transient stability of power systems using flexible AC transmission systems devices

Ford, J. J., Ledwich, G. and Dong, Z. Y. (2008) Efficient and robust model predictive control for first swing transient stability of power systems using flexible AC transmission systems devices. IET Generation Transmission & Distribution, 2 5: 731-742. doi:10.1049/iet-gtd:20070415


Author Ford, J. J.
Ledwich, G.
Dong, Z. Y.
Title Efficient and robust model predictive control for first swing transient stability of power systems using flexible AC transmission systems devices
Journal name IET Generation Transmission & Distribution   Check publisher's open access policy
ISSN 1751-8687
Publication date 2008-09-01
Sub-type Article (original research)
DOI 10.1049/iet-gtd:20070415
Open Access Status DOI
Volume 2
Issue 5
Start page 731
End page 742
Total pages 12
Editor G. Anderson
Place of publication UK
Publisher Institute of Engineering Technology-IET
Language eng
Subject C1
090607 Power and Energy Systems Engineering (excl. Renewable Power)
850604 Energy Transmission and Distribution (excl. Hydrogen)
Abstract A wide area measurement, nonlinear, model predictive control (MPC) approach is introduced to provide first swing stability protection of vulnerable power system transmission lines. The authors consider large disturbance events and focus on the avoidance of first swing angular separation using flexible AC transmission systems (FACTS) devices. The presented control strategy for FACTS devices is designed to be numerically efficient (due to the short MPC horizons) and robust (against complicated separation mechanisms). Simulation studies conducted on a three-machine system illustrate that the proposed MPC approach achieves first swing large disturbance performance that is near optimal and superior to existing transient stability controllers. Moreover, the proposed control approach is demonstrated to improve critical clearance times and to improve transfer capacity in simulation studies on the 39 bus New England system.
Keyword Engineering, Electrical & Electronic
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2009 Higher Education Research Data Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Sun, 05 Apr 2009, 18:39:29 EST by Donna Clark on behalf of School of Information Technol and Elec Engineering