Power-system stabilizer (PSS) design by probabilistic sensitivity indexes (PSIs)

A probabilistic power system stabilizer (PSS) design considering multioperating conditions is proposed in this paper. Under the assumption of normal distribution, the conventional eigenvalue sensitivity analysis is extended to a probabilistic environment by describing the statistical nature of eigen...

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Bibliographic Details
Published inIEEE transactions on power systems Vol. 17; no. 3; pp. 688 - 693
Main Authors Chung, C.Y., Wang, K.W., Tse, C.T., Niu, R.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2002
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Damping
Design engineering
Eigenvalues
Eigenvalues and eigenfunctions
Gaussian distribution
Power system analysis computing
Power system dynamics
Power system simulation
Power system stability
Probabilistic methods
Probability theory
Representations
Robustness
Sensitivity analysis
Simulation
Torque
Voltage
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Summary:A probabilistic power system stabilizer (PSS) design considering multioperating conditions is proposed in this paper. Under the assumption of normal distribution, the conventional eigenvalue sensitivity analysis is extended to a probabilistic environment by describing the statistical nature of eigenvalues as expectations and variances. Two probabilistic indexes derived from the sensitivities of eigenvalue expectations and variances are introduced to the PSS site and parameter selection. The robustness of the system can be guaranteed because wide range of the load variation has been taken into account in probabilistic representation. The effectiveness of the proposed PSS is demonstrated on a 3-machine system by probabilistic eigenvalue analysis and transient response simulation.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2002.800914