Stator current identification in generator among single and composite faults composed by static air‐gap eccentricity and rotor inter‐turn short circuit

Autor: Yu‐Ling He, Ming‐Hao Qiu, Meng‐Ya Jiang, Fu‐Cheng Zhou, David Gerada, Xiao‐Chen Zhang, Xiao‐Dong Du
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: IET Electric Power Applications, Vol 17, Iss 2, Pp 268-278 (2023)
Druh dokumentu: article
ISSN: 1751-8679
1751-8660
DOI: 10.1049/elp2.12260
Popis: Abstract In this study, a fault diagnosis model based on magnetic density is proposed to analyse the current characteristics of synchronous generator rotor inter‐turn short circuit and air gap eccentric single fault and composite fault. The model considers the influence of rotor inter‐turn short circuit and air gap eccentricity on air gap magnetic density. According to two main factors, the short circuit turns and eccentric distance, are used to reflect the short circuit and eccentricity of the generator. The detailed parameter input model of the generator can easily and quickly predict the development trend of these current parameters based on the air gap magnetic density. And the phase current is selected as the current parameter. The validity of the proposed model is verified by two‐dimensional finite element analysis and experimental research.
Databáze: Directory of Open Access Journals
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