Adjustment of Energy-Saving Train Operations Based on Synergies of All Trains in the Same Power Supply Area

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F25%3A50022609" target="_blank" >RIV/62690094:18470/25:50022609 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10914015" target="_blank" >https://ieeexplore.ieee.org/document/10914015</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/tits.2025.3545480" target="_blank" >10.1109/tits.2025.3545480</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Adjustment of Energy-Saving Train Operations Based on Synergies of All Trains in the Same Power Supply Area

Popis výsledku v původním jazyce

As a major use of electricity, the energy efficiency of urban railways is of great concern. To reduce the operational energy consumption of a metro line, this paper proposes a two-stage optimization model for energy-efficient train operations based on three aspects: train operation strategies at inter-stations, running time allocation within an operating cycle, and utilization of regenerative braking energy of multiple collaborative trains in the same power supply area. The first stage is based on a multi-objective optimization algorithm, which optimizes the position-speed curves at each inter-station to obtain a series of energy-saving running curves and the corresponding Pareto fronts. In the second stage, a single-objective optimization algorithm and parallel computing method are used to solve the integrated optimization model for train operations with the minimum net energy consumption as the objective function, to reduce the net energy consumption in an operating cycle. Finally, numerical experiments are carried out with data on the Beijing Yizhuang line. The results show that the proposed bi-level programming model and solution methods have a good energy-saving effect.

Název v anglickém jazyce

Adjustment of Energy-Saving Train Operations Based on Synergies of All Trains in the Same Power Supply Area

Popis výsledku anglicky

As a major use of electricity, the energy efficiency of urban railways is of great concern. To reduce the operational energy consumption of a metro line, this paper proposes a two-stage optimization model for energy-efficient train operations based on three aspects: train operation strategies at inter-stations, running time allocation within an operating cycle, and utilization of regenerative braking energy of multiple collaborative trains in the same power supply area. The first stage is based on a multi-objective optimization algorithm, which optimizes the position-speed curves at each inter-station to obtain a series of energy-saving running curves and the corresponding Pareto fronts. In the second stage, a single-objective optimization algorithm and parallel computing method are used to solve the integrated optimization model for train operations with the minimum net energy consumption as the objective function, to reduce the net energy consumption in an operating cycle. Finally, numerical experiments are carried out with data on the Beijing Yizhuang line. The results show that the proposed bi-level programming model and solution methods have a good energy-saving effect.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on Intelligent Transportation Systems

ISSN

1524-9050

e-ISSN

1558-0016

Svazek periodika

26

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

15

Strana od-do

4606-4620

Kód UT WoS článku

001456404200005

EID výsledku v databázi Scopus

2-s2.0-105001719935