DocumentCode :
908040
Title :
Robust power system controller design based on measured models
Author :
Fatehi, F. ; Smith, J.R. ; Pierr, D.A.
Author_Institution :
Dept. of Electr. Eng., Montana State Univ., Bozeman, MT, USA
Volume :
11
Issue :
2
fYear :
1996
fDate :
5/1/1996 12:00:00 AM
Firstpage :
774
Lastpage :
780
Abstract :
This paper presents combined power 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 the controllers. Simulation results are presented to demonstrate the robustness of these controllers based on closed-loop identified plant models and the amount of loop transfer recovery that is possible for NMP plant models
Keywords :
closed loop systems; control system analysis; control system synthesis; linear quadratic Gaussian control; power system control; power system stability; robust control; control design; control simulation; generalized technique; iterative closed-loop identification method; linear quadratic Gaussian controller; loop transfer recovery; low-frequency oscillations damping; multimachine power systems; nonminimum phase model; power system identification; robustness; Control system synthesis; Control systems; Design methodology; Iterative methods; Power measurement; Power system control; Power system measurements; Power system modeling; Power system simulation; Robust control;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.496153
Filename :
496153
Link To Document :
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