Air-core reactor shielding plate optimization method, device, equipment, medium and product

By combining multi-objective particle swarm optimization algorithm with finite element analysis, the design of the shielding plate of hollow reactor was optimized, solving the balance problem between leakage magnetic field suppression and cost control, improving electromagnetic compatibility and economy, and making it suitable for substations and other scenarios.

CN122197548APending Publication Date: 2026-06-12SHANWEI POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CORP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANWEI POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CORP
Filing Date
2026-02-27
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing technologies struggle to effectively suppress leakage magnetic field interference from air-core reactors in compact substations while controlling manufacturing costs, resulting in severe electromagnetic interference to nearby electronic equipment. Furthermore, traditional optimization methods cannot balance electromagnetic performance and economic efficiency.

Method used

A parametric model for shielding plate design was constructed by combining multi-objective particle swarm optimization algorithm with finite element analysis. Pareto optimal solution set was generated through iterative optimization, and electromagnetic performance simulation was performed to verify and determine the optimal shielding plate structure.

Benefits of technology

It achieves a dynamic balance between effective suppression of leakage magnetic field and cost control within a limited space, provides multiple sets of non-dominated solutions to support engineering decisions, and improves the systematicness and engineering applicability of shielding plate design.

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Abstract

Embodiments of the present application provide a kind of hollow reactor shielding plate optimization method, device, equipment, medium and product.The method comprises: constructing the parameterization model of shielding plate design variable and optimization target, and optimization target includes electromagnetic performance index and economy index;Multi-objective particle swarm optimization algorithm is used to iteratively optimize parameterization model, generate the Pareto optimal solution set containing multiple non-dominated solutions, and non-dominated solution corresponds to different shielding plate structure parameters and target function value;Call finite element analysis tool to carry out electromagnetic performance simulation verification to the non-dominated solution in Pareto optimal solution set, determine the performance parameters associated with each non-dominated solution;Determine shielding plate optimization result based on the performance parameters associated with each non-dominated solution.Through the collaborative iteration of algorithm and simulation, optimization scheme can realize dynamic balance between leakage magnetic field suppression effect and cost control, avoid the performance or cost imbalance problem caused by excessive emphasis on single target in traditional method.
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