新型绿色数智客站运行原理及均衡优化算法<sup>*</sup>

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Abstract 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.

Key words： new green intelligent passenger stations balanced optimization algorithms energy structure green transformation energy conservation emission reduction digital passenger stations complex influencing factors

Received: 16 October 2023

PACS:	U29
	U238
	TP39
	TU984
	U495
	C93

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	Articles by authors
	SHI Tianyun
	SHEN Haiyan
	LU Yulong
	YANG Guoyuan
	LI Jun
	LI Chao
	YANG Lingling
	DUAN Jiaying
	YAO Jian

Cite this article:

SHI Tianyun,SHEN Haiyan,LU Yulong, et al. The Operating Principle and Equilibrium Optimization Algorithm of a New Type of Green Digital Intelligent Passenger Station[J]. Journal of Railway Engineering Society, 2024, 41(7): 87-92.

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https://tdgcxb.crec.cn/EN/ OR https://tdgcxb.crec.cn/EN/Y2024/V41/I7/87

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