Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27683
Title: A semi-infinite programming algorithm for solving optimal power flow with transient stability constraints
Authors: Tong, X
Ling, C
Qi, L 
Keywords: Optimal power flow
Quasi-Newton algorithm
Semi-infinite programming
Transient stability constraint
Issue Date: 2008
Publisher: North-Holland
Source: Journal of computational and applied mathematics, 2008, v. 217, no. 2, p. 432-447 How to cite?
Journal: Journal of computational and applied mathematics 
Abstract: This paper proposes a new algorithm for solving a type of complicated optimal power flow (OPF) problems in power systems, i.e., OPF problems with transient stability constraints (OTS). The OTS is converted into a semi-infinite programming (SIP) via some suitable function analysis. Then based on the KKT system of the reformulated SIP, a smoothing quasi-Newton algorithm is presented in which the numerical integration is used. The convergence of the algorithm is established. An OTS problem in power system is tested, which shows that the proposed algorithm is promising.
URI: http://hdl.handle.net/10397/27683
ISSN: 0377-0427
EISSN: 1879-1778
DOI: 10.1016/j.cam.2007.02.026
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