Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8667
Title: Computing power system parameters to maximize the small signal stability margin based on min-max models
Authors: Qi, L 
Tong, X
Wang, Y
Keywords: Hopf bifurcation
Min-max optimization
Saddle-node bifurcation
Small signal stability
SQP method
Issue Date: 2009
Publisher: Springer
Source: Optimization and engineering, 2009, v. 10, no. 4, p. 465-476 How to cite?
Journal: Optimization and engineering 
Abstract: In this article, we consider the small signal stability margin problem arising from power electric systems. To enlarge the small signal stability margin via adjusting some system parameters, we develop a constrained min-max optimization model. For this model, we first reformulate it as a classical nonlinear programming problem, and then apply the well developed and efficient SQP method to solve it. The numerical experiments for examples taken from power systems show that the new model and the reformulation are really effective.
URI: http://hdl.handle.net/10397/8667
ISSN: 1389-4420
EISSN: 1573-2924
DOI: 10.1007/s11081-008-9049-z
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