Transformer state sensing method applied to waste incineration power plant

Abstract

The invention relates to the technical field of power equipment state monitoring, and discloses a transformer state sensing method applied to a waste incineration power plant, and the method comprises the steps: determining a thermal stress concentration region according to the time-space coupling characteristics of a vibration signal and temperature field data; dielectric relaxation spectrum data are collected in the thermal stress concentration area, and a microscopic damage area is identified based on relaxation time non-uniformity characteristics in a dielectric relaxation spectrum; constructing a thermal-mechanical-electrical multi-physics field coupling finite element model according to the structural characteristics of the microscopic damage area, and positioning an insulation aging sensitive area according to the stress gradient distribution characteristics obtained by the model; measuring space charge trap level distribution characteristics in the insulation aging sensitive area, and predicting the evolution trend of micro cracks according to trap level local state density change characteristics; according to the invention, full-period intelligent perception and state evaluation of the transformer insulation structure of the waste incineration power plant from thermal stress identification, microscopic damage positioning to crack evolution prediction are realized.

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