Title :
Leakage inductance variation based monitoring of transformer winding deformation
Author :
Xiaojing Zhang ; Zhiguo Hao ; GuoZhen Chen ; Zhi Sun ; Fei He ; SuJuan Sun ; Peng Wu
Author_Institution :
Sch. of Electr. Eng., Xi´an Jiaotong Univ., Xi´an, China
Abstract :
When subjected to short circuit, the transformer winding would suffer from considerable large electromagnetic force and then be distorted to a certain degree, in which cases leakage inductance variation can be employed to analyze and determine the situation and severity of the deformation. In this paper, the transformer leakage inductance identification model is set up on the basis of equivalent circuit equation. Least squares identification method is used to identify leakage inductance. Transverse and longitudinal comparison method are used in this paper to obtain the leakage inductance variation, and then comprehensive judgment of winding deformation is available. Moreover leakage inductance variation based transformer winding deformation monitoring system is introduced, which make it passible to apply this method to practice. In the end, practical applicability is validated by PSCAD simulation results and the data from the field.
Keywords :
electromagnetic forces; equivalent circuits; monitoring; transformer windings; electromagnetic force; equivalent circuit equation; leakage inductance variation based monitoring; transformer winding deformation; Current transformers; Inductance; Mathematical model; Monitoring; Oil insulation; Parameter estimation; Windings; detection system; leakage inductance; longitudinal comparison method; transformer; transverse comparison method; winding;
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4799-7992-9
DOI :
10.1109/EEEIC.2015.7165438