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QUAN Yu-sheng, CHEN Jun, LI Wei, ZHANG Xue-dong, PENG Xiao-jie, LAO Guo-qiang. Methodology of Forecasting the Oil-immersed Transformer Over-hot Fault Tendency Based on Catastrophe Theory[J]. Proceedings of the CSEE, 2011, 31(18): 100-106. DOI: 10.13334/j.0258-8013.pcsee.2011.18.017
Citation: QUAN Yu-sheng, CHEN Jun, LI Wei, ZHANG Xue-dong, PENG Xiao-jie, LAO Guo-qiang. Methodology of Forecasting the Oil-immersed Transformer Over-hot Fault Tendency Based on Catastrophe Theory[J]. Proceedings of the CSEE, 2011, 31(18): 100-106. DOI: 10.13334/j.0258-8013.pcsee.2011.18.017

Methodology of Forecasting the Oil-immersed Transformer Over-hot Fault Tendency Based on Catastrophe Theory

  • The transformer over-hot fault is the most common among all kinds of transformer faults,so it is important to research the transformer over-hot fault.This paper presented a cusp catastrophe model of the transformer over-hot fault,in that the temperature of the transformer was selected as state variable and C2H4/C2H6 and CH4/H2 were chosen as control variables,the validity of this model was proved through a large number of transformer over-hot data.On the basis,the methodology of forecasting the oil-immersed transformer remaining life was presented based on catastrophe theory,by which the failure time of over-hot transformer cold be forecasted,and which was verified through two actual case of transformer.The availability and applicability of the proposed mothod was proved.
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