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多舱体系变电站模块化布局及其方案智能生成方法

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为研究多舱体系变电站舱体布局方案的智能生成方法,本文考虑了设计原则对多舱体系变电站中舱体模块布局的约束,引入多舱体系变电站占地面积、线缆连接、模块搭接施工费用等成本作为目标函数,并通过将设计可行域离散为矩形单元建立了数学模型,提出一种基于遗传算法的求解方法.通过某多舱体系变电站的数值算例,阐释了所提出的多舱体系变电站模块化布局智能生成方法的应用过程和结果.结果表明:在满足所有约束的前提下,所提出方法生成的舱体呈聚集分布;设计可行域离散化模数的选择应平衡设计结果精度和计算代价;相比人工设计的方案,所提出方法生成的布局方案可以更好地协调各设计目标,并显著降低建站成本.本文将智能算法应用于模块化建筑的生成式设计,显著降低了多舱体系变电站的综合建站成本,为多舱体系变电站模块化布局智能设计提供了新的思路和方法,对同类型具有复杂设计原则和约束机制的模块化建筑的智能设计具有理论意义和实际应用价值.
Modular Layout and Intelligent Generation Method for Multi-Compartment System Substations
To study the intelligent generation method of modular element layout schemes in multi-compartment system substations,this research considers the design principles as constraints for the layout of cabin modules in multi-compartment system substations,introduces costs related to the area of the substation,cable connections,and module element interconnections as objective functions.A mathematical model is established by discretizing the design feasible region into rectangular elements,and a solution method based on genetic algorithms is proposed.Through a numerical example of a multi-compartment system substation,the application process and results of the proposed intelligent generation method for modular layout are elucidated.The results show that under all constraints,the cabins generated by the proposed method are distributed in a clustered manner.The selection of the discretization modulus of the design feasible region should balance the precision of the design results and the computational cost.Compared to manually designed schemes,the layout generated by the proposed method better coordinates various design objectives and significantly reduces the construction cost of the station.This study applies intelligent algorithms to the generative design of modular buildings,significantly reducing the comprehensive construction cost of multi-cabin system substations.It provides new insights and methods for the intelligent design of modular layouts for multi-compartment system substations.It has theoretical significance and practical application value for the intelligent design of modular buildings with complex design principles and constraint mechanisms.

multi-compartment systemsubstationmodular layoutintelligent generationgenetic algorithm

穆弘、汪和龙、杨臻、朱灿、张金锋、李璐、于晓蕾、陈琛、朱劭骏

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国网安徽省电力有限公司经济技术研究院,合肥 230022

国网安徽省电力有限公司,合肥 230022

中国电力科学研究院,北京 100192

思源电气股份有限公司,上海 201108

同济大学 土木工程学院,上海 200092

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多舱体系 变电站 模块化布局 智能生成 遗传算法

2024

科技通报
浙江省科学技术协会

科技通报

CSTPCDCHSSCD
影响因子:0.457
ISSN:1001-7119
年,卷(期):2024.40(9)