Computing power system parameters to maximize the small signal stability margin based on min-max models

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
Issue Date:	2009
Source:	Optimization and engineering, 2009, v. 10, no. 4, p. 465-476
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.
Keywords:	Hopf bifurcation Min-max optimization Saddle-node bifurcation Small signal stability SQP method
Publisher:	Springer
Journal:	Optimization and engineering
ISSN:	1389-4420
EISSN:	1573-2924
DOI:	10.1007/s11081-008-9049-z
Appears in Collections:	Journal/Magazine Article

View full-text via PolyU eLinks

5

Last Week
0

Last month
0

Citations as of Aug 28, 2020

5

Last Week
0

Last month
0

Citations as of Sep 18, 2020

129

Last Week
0

Last month

Citations as of Sep 14, 2020

Check