ǔùúǘǚǜü OU Xiao-bo1, JI Sheng-chang1, PENG Jing1, et al. Study on On-line Detecting of Transformer Winding Deformation Based on Parameter Identification of Leakage Reactance[J]. High voltageapparatus, 2010, 46(12): 41-44.
ǔùúǘǚǜü OU Xiao-bo1, JI Sheng-chang1, PENG Jing1, et al. Study on On-line Detecting of Transformer Winding Deformation Based on Parameter Identification of Leakage Reactance[J]. High voltageapparatus, 2010, 46(12): 41-44. DOI: 10.13296/j.1001-1609.hva.2010.12.011.
Study on On-line Detecting of Transformer Winding Deformation Based on Parameter Identification of Leakage Reactance
The short-circuit-reactance method is one of effective measures to detect the transformer′s winding deformation.Online detecting the short-circuit-reactance has a great significance in winding′s state.In order to realize on-line monitoring the transformer winding
based on a model transformer
an on-line identification algorithm for transformer leakage inductance is proposed with recursive least-square algorithm.The measuring system errors are analyzed and calculated
a method like fuzzy neural network is put forward to compensating error of PT and CT.Comparing the online and offline measuring value
it shows that the measuring system is satisfactory for detecting short-circuit reactance variations with high degree of accuracy and good stability
and the running condition of transformer will not influence the results
and it can be used for detecting deformation of the transformer windings.