On-load tap-changer (OLTC) is an important part of large-scale load transformers, and its fault will directly affect the reactive power flow regulation of the power system and the stability of the load center voltage. In this paper, a fault state diagnosis method based on vibration signal is proposed for fault diagnosis of tap changer. The vibration signals are decomposed by wavelet packet transform and calculated energy entropy to obtain the state information of the tap changer. The experimental data shows that the state characteristics are obvious under different faults, which lays a foundation for in-depth study of fault diagnosis.
Gas Insulated Switchgear (GIS) has been widely used in recent years due to their advantages of small floor area, high reliability and good safety. It has arised a series of problems. At present, researchers at home and abroad have done more in-depth research on insulation fault, but research on mechanical fault is insufficient. Firstly, this paper reviews the research status of mechanical fault detection technology in GIS at home and abroad. Secondly, the aspect of the principles of mechanical fault in GIS, fault judgment and location technology, and early fault prediction and status evaluation in GIS were summarized. Finally, the paper prospected the future research direction on this basis.
As the core component of transformer voltage regulation, on-load tap changer plays an important role in ensuring voltage stability of power system. With the increase of times of voltage regulation, the failure rate also increases correspondingly. In view of the common faults of on-load tap changer, this paper introduces several existing fault diagnosis methods and summarizes their advantages and disadvantages. Finally, the problems in fault diagnosis of on-load tap-changer and the future research focus are analysed.
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