[1]雷万里,唐弘,谢柳竹,等.基于数字孪生与多目标规划的高速铁路站房机电设备智能协同控制与能效优化研究[J].高速铁路技术,2025,16(06):119.[doi:10.12098/j.issn.1674-8247.2025.06.017]
　LEI Wanli,TANG Hong,XIE Liuzhu,et al.On Intelligent Coordinated Control and Energy Efficiency Optimization of Mechanical and Electrical Equipment in High-speed Railway Station Buildings Based on Digital Twin and Multi-objective Programming[J].HIGH SPEED RAILWAY TECHNOLOGY,2025,16(06):119.[doi:10.12098/j.issn.1674-8247.2025.06.017]
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基于数字孪生与多目标规划的高速铁路站房机电设备智能协同控制与能效优化研究()

《高速铁路技术》[ISSN:1674-8247/CN:51-1730/U]

卷:
16卷
期数:
2025年06期
页码:
119
栏目:
装备系统
出版日期:
2025-12-30

文章信息/Info

Title:
On Intelligent Coordinated Control and Energy Efficiency Optimization of Mechanical and Electrical Equipment in High-speed Railway Station Buildings Based on Digital Twin and Multi-objective Programming
文章编号:
1674-8247(2025)06-0119-07
作者:
雷万里1; 唐弘1; 谢柳竹2; 俞靖波2; 谭梅2
(1.中国铁路成都局集团有限公司, 成都 610082; 2. 中铁二院工程集团有限责任公司, 成都 610031)
Author(s):
LEI Wanli1;  TANG Hong1;  XIE Liuzhu2;  YU Jingbo2;  TAN Mei2
(1. China Railway Chengdu Group Co., Ltd., Chengdu 610082, China; 2. China Railway Eryuan Engineering Group Co., Ltd., Chengdu 610031, China)
关键词:
数字孪生;  高速铁路站房;  机电设备;  智能协同控制;  能效优化
Keywords:
digital twin;  high-speed railway station building;  mechanical and electrical equipment;  intelligent coordinated control;  energy efficiency optimization
分类号:
U291.1+2
DOI:
10.12098/j.issn.1674-8247.2025.06.017
文献标志码:
A
摘要:
在高速铁路站房中,机电设备间存在能量交互,并与外部环境发生复杂的热质交换,由此引发的出入口空气渗透与列车活塞效应,降低了机电设备运行的稳定状态。运行工况的不稳定导致难以获取准确且全面的设备运行数据,进而无法可靠计算控制综合能效比(SEER),且不稳定的运行环境也会干扰机电设备的正常控制逻辑,削弱设备对控制指令的响应精度和执行效果,最终导致控制效果下降。为此,结合某大型高速铁路站房工程,提出基于数字孪生与多目标规划的站房机电设备智能协同控制与能效优化方法。利用数字孪生技术交互处理,构建机电设备智能协同控制模型。选取Modelica作为建模语言实现几何虚实双向映射,并利用其耦合自更新特性计算控制周期,迭代优化模型参数以快速调控制层级; 更新设备容量配置后,基于双层规划模型,以年控制成本为目标,热负荷功率不超过投资成本为约束,确定设备负荷关系并调整设备规划量。研究表明,该方法在不同测点能有效执行协同控制指令,控制趋势合理可行,鲁棒性与工程适用性佳; 在节能与高峰模式下,控制负荷曲线与预设拟合度高,协同控制效果可靠; 应用该技术后,高速铁路站房机电设备控制综合能效比(SEER)从2.8提升至4.5,达到三级能效要求。
Abstract:
In high-speed railway station buildings, mechanical and electrical(M&E)equipment exhibit energy interactions and engage in complex heat and mass transfer with the external environment. The resulting air infiltration at entrances/exits and train piston effects compromise the operational stability of the M&E equipment. This unstable operating condition makes it difficult to obtain accurate and comprehensive equipment performance data, thereby hindering the reliable calculation of the controlled Seasonal Energy Efficiency Ratio(SEER). Furthermore, the unstable environment interferes with the normal control logic of the equipment, reducing the accuracy of response to and execution of control commands, which ultimately degrades overall control effectiveness. To address this, based on a large-scale high-speed railway station project, this paper proposed an intelligent coordinated control and energy efficiency optimization method for station building M&E equipment, utilizing digital twin technology and multi-objective programming. Digital twin technology was employed for interactive processing to construct an intelligent coordinated control model. Modelica was selected as the modeling language to achieve two-way geometric-virtual mapping. Leveraging its coupled self-updating characteristics, the control cycle was calculated, and model parameters were iteratively optimized to rapidly tune the control hierarchy. After updating the equipment capacity configuration, a bi-level programming model was applied. With the annual control cost as the objective and the constraint that the heating/cooling load power does not exceed the investment cost, the equipment load relationship was determined, and the equipment planning quantities were adjusted. The research shows that this method can effectively execute coordinated control commands at different measurement points, with reasonable and feasible control trends, exhibiting good robustness and engineering applicability. Under both energy-saving and peak-demand modes, the controlled load curves show a high degree of fit with the preset ones, confirming the reliability of the control effect. After applying this technology, the SEER for the M&E equipment in the high-speed railway station building improves from 2.8 to 4.5, meeting the requirements for the third energy efficiency grade.

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备注/Memo

备注/Memo:
收稿日期:2025-07-04
作者简介:雷万里(1979-),男,高级工程师。
更新日期/Last Update: 2025-12-30