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Robust control design of power system stabilizers using multivariable frequency domain techniques
Author(s) -
Chow J. H.,
Harris L. P.,
Kale M. A.,
Othman H.,
SanchezGasca J. J.,
Terwilliger G. E.
Publication year - 1992
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.4590020204
Subject(s) - control theory (sociology) , multivariable calculus , weighting , frequency domain , robust control , electric power system , singular value , control engineering , power (physics) , computer science , frequency response , controller (irrigation) , engineering , control system , control (management) , artificial intelligence , medicine , agronomy , eigenvalues and eigenvectors , physics , electrical engineering , quantum mechanics , biology , computer vision , radiology
H ∞ and structured singular value optimization techniques are used to design robust power system stabilizers (PSS) for a single‐machine and a two‐machine system with varying operating conditions. Realistic uncertainty models to represent the possible operating conditions as perturbations from a nominal operating condition are developed. System experience is used to select weighting functions to provide adequate damping and shape the controller frequency response. Computer simulations show that the PSS designed using the proposed technique provides improved damping compared to a conventional PSS.