Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14906
Title: Robust PSS design by probabilistic eigenvalue sensitivity analysis
Authors: Tse, CT
Wang, KW
Chung, CY
Tsang, KM 
Keywords: Dynamic stability
Eigenvalue
Power system stabilizer (PSS)
Probability
Sensitivity
Issue Date: 2001
Publisher: Elsevier
Source: Electric power systems research, 2001, v. 59, no. 1, p. 47-54 How to cite?
Journal: Electric power systems research 
Abstract: When a wide range of system operation is taken into account for power system dynamic studies, probabilistic eigenvalue analysis efficiently provides the statistical distributions of concerned eigenvalues. Under the assumption of normal distribution, each eigenvalue can be described by its expectation and variance. To enhance system damping under multi-operating conditions by power system stabilizers (PSSs), effects of PSSs on both eigenvalue expectation and variance should be investigated. In this paper, the conventional eigenvalue sensitivity analysis has been extended to probabilistic environment. Eigenvalue sensitivities for both expectation and variance are determined to form two types of probabilistic sensitivity indices (PSIs). Robust PSS locations are selected by one type of PSI, PSS parameters are tuned by the probabilistic sensitivity analysis using another type of PSI.
URI: http://hdl.handle.net/10397/14906
ISSN: 0378-7796
EISSN: 1873-2046
DOI: 10.1016/S0378-7796(01)00114-6
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