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dc.contributor.authorHettiarachchige-Don, Anton C. Sameepa
dc.contributor.authorAravinthan, Visvakumar
dc.date.accessioned2018-01-13T16:28:53Z
dc.date.available2018-01-13T16:28:53Z
dc.date.issued2017
dc.identifier.citationHettiarachchige-Don, Anton C. Sameepa; Aravinthan, Visvakumar. 2017. Estimation of missing transmission line reactance data using multiple linear regression, 2017 North American Power Symposiumen_US
dc.identifier.isbn978-1-5386-2699-3
dc.identifier.issn2163-4939
dc.identifier.otherWOS:000418465200112
dc.identifier.urihttp://dx.doi.org/10.1109/NAPS.2017.8107278
dc.identifier.urihttp://hdl.handle.net/10057/14456
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThis paper explores the use of Multiple Linear Regression techniques in order to estimate sections of missing line reactance data sometimes found in the data received from synchrophasor measurement units. The high correlation between transmission line reactance and the system frequency is used to predict these estimates. Dynamic predictor coefficients are used to improve accuracy of the estimations and analysis is done to determine the most appropriate parameters to use in the regression model. All model building, analysis and testing is done using multiple sections of real PMU data.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2017 North American Power Symposium;
dc.subjectEstimationen_US
dc.subjectMultiple Linear Regressionen_US
dc.subjectPMUen_US
dc.subjectSynchrophasor Measurement Unitsen_US
dc.subjectSmart Griden_US
dc.titleEstimation of missing transmission line reactance data using multiple linear regressionen_US
dc.typeConference paperen_US
dc.rights.holderCopyright © 2017, IEEEen_US


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