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

He, Yu‐Ling; Qiu, Ming‐Hao; Jiang, Meng‐Ya; Zhou, Fu‐Cheng; Gerada, David; Zhang, Xiao‐Chen; Du, Xiao‐Dong

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.

Citation

He, Y., Qiu, M., Jiang, M., Zhou, F., Gerada, D., Zhang, X., & Du, X. (2022). Stator current identification in generator among single and composite faults composed by static air‐gap eccentricity and rotor inter‐turn short circuit. IET Electric Power Applications, 17(2), 268-278. https://doi.org/10.1049/elp2.12260

• Journal Article Type: Article
• Acceptance Date: Oct 15, 2022
• Online Publication Date: Nov 12, 2022
• Publication Date: Nov 12, 2022
• Deposit Date: Feb 11, 2023
• Publicly Available Date: Feb 13, 2023
• Journal: IET Electric Power Applications
• Print ISSN: 1751-8660
• Electronic ISSN: 1751-8679
• Publisher: Institution of Engineering and Technology (IET)
• Peer Reviewed: Peer Reviewed
• Volume: 17
• Issue: 2
• Pages: 268-278
• DOI: https://doi.org/10.1049/elp2.12260
• Keywords: composite fault, rotor inter‐turn short circuit, static air‐gap eccentricity, stator current, turbo‐generator
• Public URL: https://nottingham-repository.worktribe.com/output/14025638
• Publisher URL: https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/elp2.12260
• Additional Information: Received: 2022-06-05; Accepted: 2022-10-15; Published: 2022-11-12. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.