Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25168
Title: Probabilistic eigenvalue sensitivity analysis and PSS design in multimachine systems
Authors: Chung, CY
Wang, KW
Tse, CT
Bian, XY
David, AK
Keywords: Eigenvalue
Optimization
Power system stabilizer (PSS)
Probabilistic theory
Sensitivity
Issue Date: 2003
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on power systems, 2003, v. 18, no. 4, p. 1439-1445 How to cite?
Journal: IEEE transactions on power systems 
Abstract: This paper presents an application of probabilistic theory to the selection of robust PSS locations and parameters. The aim is to enhance the damping of multiple electromechanical modes in a multimachine system over a large and prespecified set of operating conditions. Conventional eigenvalue analysis is extended to the probabilistic environment in which the statistical nature of eigenvalues corresponding to different operating conditions is described by their expectations and variances. Probabilistic sensitivity indices to facilitate "robust PSS" site selection and a probabilistic eigenvalue-based objective function for coordinated synthesis of PSS parameters are then proposed. The quasi-Newton technique of nonlinear programming is used to solve the objective function and its convergence properties are discussed and compared with the conventional steepest descent approach. The effectiveness of the proposed stabilizers, with a classical lead/lag structure, is demonstrated on an eight-machine system.
URI: http://hdl.handle.net/10397/25168
ISSN: 0885-8950
EISSN: 1558-0679
DOI: 10.1109/TPWRS.2003.818709
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