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.
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