Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57166
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dc.contributor.authorNaret Suyarojen_US
dc.contributor.authorSuttichai Premrudeepreechacharnen_US
dc.contributor.authorNeville Robert Watsonen_US
dc.date.accessioned2018-09-05T03:35:42Z-
dc.date.available2018-09-05T03:35:42Z-
dc.date.issued2017-01-01en_US
dc.identifier.issn13036203en_US
dc.identifier.issn13000632en_US
dc.identifier.other2-s2.0-85017386713en_US
dc.identifier.other10.3906/elk-1507-41en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85017386713&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/57166-
dc.description.abstract© TÜBİTAK. Transient state estimation (TSE) was used to determine the state values that have no measurement equipment placed in an electric power system with transient phenomena. Previous papers used the PI model for TSE with a short transmission line, but longer lines require the development of algorithms that include the distributed parameters of transmission lines with the Bergeron model. The test system was a 10-bus power system. The simulated transient was caused by a fault event, resulting in different persistent voltage drops that ranged from 10% to 90% at selected buses. In addition, noises were applied to evaluate the algorithm, which was defined to be normally distributed. Noise at 1%, 2%, and 3% was added to all measurements. The results showed that the developed TSE provided good estimation at the locations that had no measurement equipment for distributed transmission lines.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleTransient state estimation with the Bergeron transmission line modelen_US
dc.typeJournalen_US
article.title.sourcetitleTurkish Journal of Electrical Engineering and Computer Sciencesen_US
article.volume25en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsUniversity of Canterburyen_US
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