Optimization method and system for air gap parameters of voltage transformer core

By constructing a parallel equivalent magnetic circuit model and an equivalent circuit model of a staggered distributed air gap, and coordinating the solution of the target air gap length and air gap ratio parameters, the problem of balancing steady-state metering accuracy and transient anti-saturation performance in voltage transformers is solved, the core structure design is optimized, and the metering accuracy and manufacturing consistency of the product are improved.

CN122452131APending Publication Date: 2026-07-24HENAN XJ INSTR
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HENAN XJ INSTR
Filing Date
2026-04-28
Publication Date
2026-07-24

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Abstract

The present application relates to the technical field of voltage transformer, and discloses a method and system for optimizing air gap parameters of a voltage transformer core, comprising: obtaining initial parameters and measurement requirements; constructing a parallel equivalent magnetic circuit and equivalent circuit model of a misaligned distributed air gap, establishing a no-load error boundary constraint condition; dividing the core thickness direction into inner and outer continuous non-opening layers and a middle misaligned distributed air gap layer, calculating and distributing the number of reserved layers; setting air gap positions and relative misalignment amounts in the core column region covered by the winding, constructing a distributed magnetic path; combining error boundaries and overvoltage severe saturation working condition requirements to extract maximum and minimum air gap length boundaries; judging an effective feasible solution interval and solving target air gap parameters, and outputting optimized sizes. The present application takes into account both steady-state measurement accuracy and transient anti-ferrimagnetic resonance performance, constrains magnetic flux leakage divergence, and converts the optimization results into engineering control instructions, thereby improving manufacturing efficiency.
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