Robust power system controller design based on measured models
Journal Article
·
· IEEE Transactions on Power Systems
- Montana State Univ., Bozeman, MT (United States). Electrical Engineering Dept.
This paper presents combined system identification and controller design methods to dampen low-frequency oscillations in multimachine power systems. An iterative closed-loop identification method is used to find a linear model for the power system. Linear quadratic Gaussian controller design with loop transfer recovery (LQG/LTR), based on a generalized technique for the nonminimum phase (NMP) power system model, is used to design controllers. Simulation results are presented to demonstrate the robustness of controllers based on closed-loop identified plant models and the amount of loop transfer recovery that is possible for NMP plant models.
- OSTI ID:
- 264244
- Report Number(s):
- CONF-950727-; ISSN 0885-8950; TRN: IM9633%%180
- Journal Information:
- IEEE Transactions on Power Systems, Vol. 11, Issue 2; Conference: 1995 IEEE Power Engineering Society summer meeting, Portland, OR (United States), 23-27 Jul 1995; Other Information: PBD: May 1996
- Country of Publication:
- United States
- Language:
- English
Similar Records
Closed-loop identification and tuning for damping of interarea modes
Comparative study of classical and robust control techniques for process control
Control of nonlinear bioreactor system using a robust multivariable control design methodology
Conference
·
Sat Dec 31 00:00:00 EST 1994
·
OSTI ID:264244
Comparative study of classical and robust control techniques for process control
Conference
·
Sun Jan 01 00:00:00 EST 1989
·
OSTI ID:264244
Control of nonlinear bioreactor system using a robust multivariable control design methodology
Conference
·
Thu Jan 01 00:00:00 EST 1987
·
OSTI ID:264244