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dc.contributor.authorGibson, E. Carteren_US
dc.date.accessioned2014-03-14T21:41:23Z
dc.date.available2014-03-14T21:41:23Z
dc.date.issued1977-12-15en_US
dc.identifier.otheretd-07282010-020128en_US
dc.identifier.urihttp://hdl.handle.net/10919/43936
dc.description.abstract

A comparison is presented of five different numerical algorithms for the solution of the differential equations contained in the transient stability problem. A classical transient stability model is used, including the swing equation to characterize the machine's dynamic behavior.

The five algorithms studied are: fourth-order Runge-Kutta; state transition; the trapezoidal rule; Adams-Moulton predictor-corrector; and Hamming predictor-corrector. The five algorithms, using various step sizes, are applied to three test systems, including the IEEE l4-bus system, using a common main program to call each algorithm as an independent subroutine. The results obtained are compared with regard to accuracy, solution time, and ease of programming. The comparison of fourth-order Runge-Kutta to the other methods is given special emphasis.

en_US
dc.format.mediumBTDen_US
dc.publisherVirginia Techen_US
dc.relation.haspartLD5655.V855_1977.G528.pdfen_US
dc.subjectStabilityen_US
dc.subject.lccLD5655.V855 1977.G528en_US
dc.titleA comparison of numerical algorithms for solution of the transient stability problem.en_US
dc.typeThesisen_US
dc.contributor.departmentElectrical Engineeringen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
dc.contributor.committeechairGrigsby, L. L.en_US
dc.contributor.committeememberPowley, G. R.en_US
dc.contributor.committeememberHopkins, M. H. Jr.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-07282010-020128/en_US
dc.date.sdate2010-07-28en_US
dc.date.rdate2010-07-28
dc.date.adate2010-07-28en_US


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