A high-precision voltage regulating system of a power frequency non-partial discharge test transformer

CN120566874BActive Publication Date: 2026-06-05JIANGSU JINXIU HIGH VOLTAGE ELECTRIC CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANGSU JINXIU HIGH VOLTAGE ELECTRIC CO LTD
Filing Date
2025-05-20
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Traditional power frequency test transformers suffer from insufficient voltage regulation accuracy, poor load adaptability, lagging insulation condition monitoring, and rigid control strategies during high-voltage testing. They also lack the ability to actively identify and suppress partial discharge, resulting in high risk of partial discharge and short equipment life.

Method used

By employing heterogeneous multi-level power modules, multi-physics digital twin units, dynamic impedance matching networks, and distributed fiber optic sensing units, combined with deep learning models, the fundamental voltage and high-frequency harmonics can be independently controlled, the insulation system status can be monitored in real time, the voltage curve can be dynamically adjusted, and partial discharge can be actively suppressed.

Benefits of technology

It significantly improves voltage regulation accuracy and system stability, reduces the risk of partial discharge, extends equipment life, and enhances adaptability to complex operating conditions and operational reliability.

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Patent Text Reader

Abstract

The application discloses a high-precision voltage regulating system of a power frequency transformer without partial discharge test, comprising: a heterogeneous multi-stage power module composed of H-bridge unit groups and a matrix converter in parallel, wherein the H-bridge unit groups output fundamental wave voltage components, and the matrix converter compensates high-frequency harmonic components; a multi-physical field digital twin unit integrating an electromagnetic field solver, a thermodynamic model and a mechanical deformation simulation module, which can predict the multi-physical field coupling state of an insulation system in real time; a dynamic impedance matching network containing an adjustable inductance array and a digital capacitor group, which can automatically adjust filter parameters according to load impedance measurement values; and a control module deploying a deep learning model for online optimization of modulation strategies and protection thresholds. The application can improve voltage regulating precision and waveform purity, guarantee stability under wide-range working conditions, identify breakdown risks in advance through multi-physical field coupling simulation, and curb the development of partial discharge from the source.
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