Identification of Linear Power System Models Using Probing Signals

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dc.contributor.authorCárdenas Javier, Romel Angel
dc.contributor.authorZelaya Arrazabal, Francisco Alexander
dc.contributor.authorArrieta Paternina, Mario Roberto
dc.contributor.authorWilches-Bernal, Felipe
dc.date.accessioned2020-12-24T19:39:34Z
dc.date.available2020-12-24T19:39:34Z
dc.date.issued2021-01-05
dc.description.abstractThis paper compares the accuracy of two methods to identify a linear representation of a power system: the traditional Eigensystem Realization Algorithm (ERA) and the Loewner Interpolation Method (LIM). ERA is based on time domain data obtained using exponential chirp probing signals and LIM system identification method is based on frequency domain data obtained using sinusoidal probing signals. The ERA and LIM methods are evaluated with the noise produced by the nonlinear characteristics of the system, these characteristics are caused by increasing the amplitude of the applied probing signal. The test systems used are: the two-area Kundur system and a reduced order representation of the Northeastern portion of the North American Eastern Interconnection. The results show that the LIM method provides a more accurate identification than the ERA method.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.391
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71006
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMonitoring, Control and Protection
dc.subjectsystem identification
dc.subjectlinear model
dc.subjectloewner method
dc.subjectfrequency interpolation
dc.subjectsmall-signal analysis.
dc.titleIdentification of Linear Power System Models Using Probing Signals
prism.startingpage3214

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