An Online Monitoring Method for Mechanical Instability of UHV Converter Transformer Based on Vibration Complexity

Power transformers are the core assets of power systems, and there is still a lack of effective means for online monitoring of their mechanical instability. In this paper, in view of the lack of existing transformer on-line monitoring methods, based on the Lempel-Ziv complexity algorithm, the complexity analysis method of the signal uploaded by the power transformer based on the MEMS sensor is carried out. The principle and properties of the Lempel-Ziv complexity algorithm are described in detail. For the MEMS sensing signal of UHV converter transformer, the construction process of the sensing signal sequence is explained, and the corresponding instability criteria are formulated. Finally, the effect of the algorithm is verified by the 1000 kVA power transformer test platform. The verification results prove the effectiveness of the proposed method.