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.
| Original language | English |
|---|---|
| Pages (from-to) | 465-476 |
| Number of pages | 12 |
| Journal | Optimization and Engineering |
| Volume | 10 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Dec 2009 |
Keywords
- Hopf bifurcation
- Min-max optimization
- Saddle-node bifurcation
- Small signal stability
- SQP method
ASJC Scopus subject areas
- Software
- Civil and Structural Engineering
- Aerospace Engineering
- Mechanical Engineering
- Control and Optimization
- Electrical and Electronic Engineering