新型绿色数智客站运行原理及均衡优化算法

The Operating Principle and Equilibrium Optimization Algorithm of a New Type of Green Digital Intelligent Passenger Station

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摘要研究目的:铁路客站是高密集大型公共场所及能源消耗大户,为践行国家“双碳”战略,以客站为着力点是铁路绿色转型重要突破口。目前客站重“节能”,轻“洁能”,弱“赋能”,“数智化、绿色化、低碳化”三化发展各自为营,制约了客站绿色转型步伐。本文研究提出“新型绿色数智客站”新理论、新方法,填补行业空白,为突破“三化、三能”从“泾渭分明”向“融合共生”演进,推动客站绿色高质量发展,提供指导借鉴及示范作用。研究结论:(1)“三化、三能”协同的特征模型及转型路径,为强化数智赋能技术供给提供了新思路;(2)“三化协同、数智赋能、绿色牵引、低碳驱动”运行原理及“三要素”协同理论,为绿色客站转型提供了新方法;(3)首次提出的BMCEO综合均衡优化控制算法,经验证,其比传统单要素优化效能提升20%~40%,为解决多目标约束及动态不确定复杂影响要素下客站均衡高效运行难题提供了技术手段。 Research purposes:Railway passenger stations are high-density large public places and energy consuming large households.In order to implement the national"dual carbon"strategy,focusing on passenger stations is an important breakthrough point for the green transformation of railways.At present,passenger stations prioritize"energy conservation"over"clean energy",and weaken"empowerment".The development of"digitalization,greening,and low-carbon"is each focused on,which restricts the pace of green transformation.The new theory and method of"new green digital intelligent passenger stations"proposed in this article fills the industry gap,to break through the evolution of"Three modernizations and Three energies"from"clear differentiation"to"integrated symbiosis",and promote the green and high-quality development of stations,providing guidance,reference,and demonstration.Research conclusions:(1)The characteristic model and transformation path of"Three Modernizations and Three Energies"provide new ideas for strengthening the supply of digital intelligence empowerment technology.(2)The operational principles of"Three Modernizations Collaboration,Digital Intelligence Empowerment,Green Traction,and Low Carbon Drive"and the theory of"Three Elements"synergy provide new methods for the transformation of green stations.(3)The BMCEO comprehensive balance optimization control algorithm proposed has been validated to improve efficiency by 20%~40%compared to traditional single factor optimization,providing a technical means to solve the problem of efficient operation of station balance under multi-objective constraints and dynamic uncertain complex influencing factors.

作者史天运沈海燕鲁玉龙杨国元李君李超杨玲玲端嘉盈姚剑 SHI Tianyun;SHEN Haiyan;LU Yulong;YANG Guoyuan;LI Jun;LI Chao;YANG Lingling;DUAN Jiaying;YAO Jian(China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;Beijing Jingwei Information Technology Co.Ltd,Beijing 100081,China)

机构地区中国铁道科学研究院集团有限公司北京经纬信息技术有限公司

出处《铁道工程学报》 EI CSCD 北大核心 2024年第7期87-92,共6页 Journal of Railway Engineering Society

基金中国铁道科学研究院集团有限公司科研开发基金(重点-2021YJ301,重大-2023YJ125)。

关键词新型绿色智能客站均衡优化算法能源结构绿色转型节能减排提质增效数字客站复杂影响要素 new green intelligent passenger stations balanced optimization algorithms energy structure green transformation energy conservation emission reduction digital passenger stations complex influencing factors