| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 713520 | IFAC Proceedings Volumes | 2013 | 6 Pages |
Abstract
In this paper, a methodology for designing a nonlinear state observer for power systems is proposed. The algorithm is shown to consist in a sequence of approximate LQ optimal observers whose solution can be explicitely computed thanks to Kalman Filter Riccati equations. A decentralized version of the approach based on augmented Lagrangian relaxation is also discussed. The application to a 5-bus power system is finally presented and demontrates the effectiveness of the approach.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
