A transformer bushing insulation state evaluation method and system based on time-frequency domain data, equipment and medium
By combining time-frequency domain data and the Debye equivalent circuit model with the FPA optimization algorithm, the problems of limited information acquisition and low efficiency of traditional algorithms in transformer bushing insulation condition assessment are solved, and high-precision insulation condition parameter identification is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- STATE GRID SICHUAN ELECTRIC POWER CORP ELECTRIC POWER RES INST
- Filing Date
- 2026-04-24
- Publication Date
- 2026-07-21
AI Technical Summary
Existing methods for assessing the insulation status of transformer bushings rely on a single dielectric response technique, resulting in limited information acquisition, limitations and uncertainties in the analysis results, and traditional optimization algorithms are prone to getting trapped in local optima, leading to low parameter identification efficiency.
A Debye equivalent circuit model based on time-frequency domain data is adopted, and combined with the FPA optimization algorithm, the initial Debye model is optimized through the pollen propagation process so that it can fit both time-domain and frequency-domain measurement data. The branch parameters are iteratively adjusted to improve the accuracy and efficiency of parameter identification.
This improves the accuracy and efficiency of identifying transformer bushing insulation condition parameters, reduces errors from extracting single data points, and ensures the reliability and accuracy of diagnostic conclusions.
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