Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/68905
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dc.contributor.authorNguyen, Nhan Bon-
dc.date.accessioned2021-11-23T08:10:37Z-
dc.date.available2021-11-23T08:10:37Z-
dc.date.issued2019-
dc.identifier.issn1859-1272-
dc.identifier.urihttps://dspace.ctu.edu.vn/jspui/handle/123456789/68905-
dc.description.abstractThe rapid growth of the electricity system in the of a country's economic development has led to an increase in the number of power transmission lines operating at different voltage levels and the total length of power transmission lines. Thus, Faults on the transmission line are unavoidable. In this paper, Wavelet transforms for the recognition and localization of short circuits faults on the power transmission lines. In that, the voltage waves and current waves on the lines are simulated by Simulink - Matlab. The Wavelet transform is used with the RBF Neural network to find out where the short circuit faults occurred. The proposed method is applied for a power system which is a power transmission lines, one load and one generator. The results are achieved and demonstrated the potential for on-line identification capabilities in Vietnam Power System.vi_VN
dc.language.isoenvi_VN
dc.relation.ispartofseriesTạp chí Khoa học Giáo dục Kỹ thuật;Số 55 .- Tr.07-11-
dc.subjectPower system faultvi_VN
dc.subjectMulti-resolution analysisvi_VN
dc.subjectRadius bias function Neural Network (RBFNN)vi_VN
dc.subjectFault locationvi_VN
dc.subjectPower transmission linevi_VN
dc.subjectDiscrete Wavelet transformvi_VN
dc.titleFault localization on the transmission lines by wavelet technique combined radial basis function neural networkvi_VN
dc.typeArticlevi_VN
Appears in Collections:Khoa học Giáo dục Kỹ thuật

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