Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33319
Title: Direct nonlinear primal-dual interior-point method for transient stability constrained optimal power flow
Authors: Xia, Y
Chan, KW 
Liu, M
Issue Date: 2005
Publisher: The Institution of Engineering and Technology
Source: IEE proceedings. Generation, transmission, and distribution, 2005, v. 152, no. 1, p. 11-16 How to cite?
Journal: IEE proceedings. Generation, transmission, and distribution 
Abstract: The modern deregulated environment has driven utilities around the world to operate their power systems closer to their stability boundary for better use of transmission networks. A new approach of transient-stability-constrained optimal power flow (OPF), which can be used for the maximising system efficiency without violating any transient-stability limits, is presented. With the technique of equivalent transformation, transient-stability constraints are incorporated into the conventional OFF formulation. Jacobian and Hessian matrices of the transient-stability constraints are derived for the application of the direct nonlinear primal-dual interior-point method with quadratic convergence. A novel concept referred to as the 'most effective section of transient-stability constraints' is introduced to reduce the massive calculation of the Jacobian and Hessian matrices of the stability constraints. The validity and the effectiveness of the proposed method have been fully verified on two test systems based on the WSCC 9-bus and UK 686-bus systems.
URI: http://hdl.handle.net/10397/33319
ISSN: 1350-2360
EISSN: 1751-8695
DOI: 10.1049/ip-gtd:20041204
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

57
Last Week
1
Last month
0
Citations as of Nov 8, 2017

WEB OF SCIENCETM
Citations

39
Last Week
0
Last month
0
Citations as of Nov 17, 2017

Page view(s)

57
Last Week
5
Last month
Checked on Nov 12, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.