基于GIM标准的变电站三维模型智能设计方法

By using an intelligent design method for substation 3D models based on the GIM standard, a population of candidate solutions is generated and multi-objective evaluation is performed. The Pareto optimal solution set is output, which solves the problem that the design scheme in the existing technology cannot take into account multiple objectives. This realizes the global optimization and automated design of substation 3D models.

CN121118219BActive Publication Date: 2026-07-17BENGBU ELECTRIC POWER PLANNING & DESIGN INST CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BENGBU ELECTRIC POWER PLANNING & DESIGN INST CO LTD
Filing Date
2025-09-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing three-dimensional design methods for substations mainly rely on single objectives or local indicators for scheme optimization, which makes it impossible to balance reliability and space utilization in the design scheme. Multiple potential high-quality schemes are difficult to identify and compare effectively. There is a lack of systematic multi-objective comprehensive evaluation mechanism and quantitative optimization algorithm, resulting in insufficient design efficiency and scheme optimization level.

Method used

A substation 3D model intelligent design method based on GIM standard is adopted. By obtaining the design variable set and optimization objective set, a candidate scheme population is generated. Then, by using the feasibility verification and multi-objective evaluation system, the Pareto optimal solution set is output, realizing a comprehensive trade-off between different design objectives.

Benefits of technology

It achieves a global balance among multiple objectives such as safety, space utilization, maintainability, and economy, improves design quality and modeling efficiency, ensures that the solution covers diverse design parameters and complies with safety specifications, and supports automated closed-loop transformation from design parameters to engineering implementation.

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Abstract

本发明属于电力设计技术领域，具体的说是基于GIM标准的变电站三维模型智能设计方法，获取变电站设计变量集和优化目标集，基于所述设计变量集确定取值范围，随机采样生成初始值组合成候选方案，并通过可行性校验，生成预定数量的可行候选方案形成候选方案种群，基于所述优化目标集获取对应评估函数，得到由所述评估函数输出的函数值集合，若所述函数值集合满足收敛条件，经非支配排序剔除被支配解，输出排名第一的非支配层为帕累托Pareto最优解集，所述帕累托Pareto最优解集用于变电站三维模型智能设计通过Pareto前沿排序筛选非支配解，最终输出排名第一的Pareto最优解集，实现在安全性、空间利用率、可维护性及经济性等多个目标上的全局平衡和科学化优选。
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Citation Information

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