中国电机工程学报2025，Vol.45Issue(18)：7098-7109,中插7,13.DOI:10.13334/j.0258-8013.pcsee.240422
基于机理数据混合驱动的钢铁企业生产短流程功率模型
A Mechanism-data Hybrid-driven Power Model for Short-process Steel Production
摘要
Abstract
The electricity load of iron and steel enterprises is greatly affected by the production conditions and physical process parameters.The existing research ignores the coupling effect of material flow and energy flow between processes,resulting in insufficient simulation accuracy.To solve the above problems,this paper presents a short-process power model of steel production driven by mechanism and data.Firstly,based on the coupling characteristics of material flow and energy flow in the transport process,the attenuation law of physical quantities such as mass and temperature value between the successive processes is derived.Secondly,a general expression of the power function is established according to the operation properties of the equipment,and a kernel extreme learning machine is used to fit the physical quantities and characteristic parameters of the power function.Finally,the power of different processes is superimposed in time domain,and the total power curve for the short-process iron and steel enterprise is obtained.The simulation results of a domestic steelmaking enterprise show that the proposed model can reflect power characteristics more accurately.关键词
钢铁企业生产短流程/机理数据混合驱动/物质流/能量流/功率特性Key words
short-process steelmaking enterprise/mechanism-data hybrid drive/material flow/energy flow/power characteristics分类
信息技术与安全科学引用本文复制引用
张逸,孙守铨,廖思阳,欧杰宇,陈锦涛,张良羽..基于机理数据混合驱动的钢铁企业生产短流程功率模型[J].中国电机工程学报,2025,45(18):7098-7109,中插7,13.基金项目
国家自然科学基金联合基金集成项目(U23B6007).Project Supported by National Natural Science Foundation of China(U23B6007). （U23B6007）
