Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/54343
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dc.contributor.authorNaret Suyarojen_US
dc.contributor.authorSuttichai Premrudeepreechacharnen_US
dc.contributor.authorNeville R. Watsonen_US
dc.date.accessioned2018-09-04T10:12:10Z-
dc.date.available2018-09-04T10:12:10Z-
dc.date.issued2015-08-17en_US
dc.identifier.other2-s2.0-84956968684en_US
dc.identifier.other10.1109/ECTICon.2015.7207111en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84956968684&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/54343-
dc.description.abstract© 2015 IEEE. In order to determine the monitoring in large power system during disturbance, Transient State Estimation (TSE) algorithm combines partial measurement with state estimation technique to derive measurement value at unmonitored location in electric power system with transient phenomena. The measurement noises are taken into considering the efficiency of proposed algorithm. The test systems use 6 bus power systems with transient event that caused by a sudden lost of a load and apply the lost in different level which effect to dropping voltage from 10% till 90% at selected bus. The noise define to be normally distributed, is added to all of the measurements in 1%, 3% and 5% level. The results show that the Transient State Estimation (TSE) can remain good estimation with measurement noise at no measurement location.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleTransients State Estimation with measurement noiseen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleECTI-CON 2015 - 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technologyen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsUniversity of Canterburyen_US
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