Optimisation of train energy-efficient operation for mass rapid transit systems

Ke, Bwo-Ren; Lin, Chong; Yang, Chen

doi:10.1049/iet-its.2010.0144

Cited by 74 publications

(42 citation statements)

References 17 publications

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“…The catenary is virtually divided into two parts by the tram, and the equivalent resistances R 1 and R 2 change with the tram position, calculated by Equation (10). The substation power P s and catenary power P net can be deduced as Equations (11) and (12).…”

Section: Catenary Modelmentioning

confidence: 99%

Integrated Optimization of Speed Profiles and Power Split for a Tram with Hybrid Energy Storage Systems on a Signalized Route

et al. 2018

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Abstract:A tram with on-board hybrid energy storage systems based on batteries and supercapacitors is a new option for the urban traffic system. This configuration enables the tram to operate in both catenary zones and catenary-free zones, and the storage of regenerative braking energy for later usage. This paper presents a multiple phases integrated optimization (MPIO) method for the coordination of speed profiles and power split considering the signal control strategy. The objective is to minimize the equivalent total energy consumption of all the power sources, which includes both the energy from the traction substation and energy storage systems. The constraints contain running time, variable gradients and curves, speed limits, power balance and signal time at some intersections. The integrated optimization problem is formulated as a multiple phases model based on the characters of the signalized route. An integrated calculation framework, using hp-adaptive pseudospectral method, is proposed for the integrated optimization problem. The effectiveness of the method is verified under fixed time signal (FTS) control strategy and tram priority signal (TPS) control strategy. Illustrative results show that this method can be successfully applied for trams with hybrid energy storage systems to improve their energy efficiency.

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Section: Catenary Modelmentioning

confidence: 99%

Integrated Optimization of Speed Profiles and Power Split for a Tram with Hybrid Energy Storage Systems on a Signalized Route

et al. 2018

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“…This technique utilises a genetic algorithm to identify optimal train trajectories from a set of simulations. In addition energy-efficient driving of trains is the subject of the work of Ke et al 57 who look at this subject in relation to rapid transit systems with the aim of optimising speed of service with the need for reduced energy consumption.…”

Section: Train Control Systemsmentioning

confidence: 99%

“…Nystrom and Soderholm 63 Dadashi et al 59 Nystrom and Soderholm 63 Jiang et al 79 Selvik and Aven 77 Nash et al 36 Jabri et al 50 Lv et al 57 Data mining Goverde and Meng 15 Kecman and Goverde 17 Kecman and Goverde 17 Kecman and Goverde 17 Autonomous systems Firlik et al 32 Li et al 65 Kuckelberg and Wendler 37 Xun et al 52 Dominguez et al 12 Wackrow and Slamen 13 Expert and decision support systems Dadashi et al 59 Bouillaut et al 61 Filip et al 70 Lai and Wang 73 Saa et al 29 Bouillaut et al 61 Guler 62 Schö bel and Maly 75 Soh et al 78 Zhang 31 Firlik et al 32 Schlake et al 84 Wegele et al 35 Kuckelberg and Wendler 37 Forsgren et al 39 Ho et al 38 Albrecht et al 40 Hu et al 5 Peng et al 80 Palte 30 Beugin et al 34 Kecman and Goverde 17 Filip et al 71 Lai and Wang 73 disruption such as faulty trains and damage within the infrastructure (Briola et al 23 ).…”

Section: Kementioning

confidence: 99%

A review of key planning and scheduling in the rail industry in Europe and UK

Turner

Tiwari

Starr

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part F:

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Planning and scheduling activities within the rail industry have benefited from developments in computer-based simulation and modelling techniques over the last 25 years. Increasingly, the use of computational intelligence in such tasks is featuring more heavily in research publications. This paper examines a number of common rail-based planning and scheduling activities and how they benefit from five broad technology approaches. Summary tables of papers are provided relating to rail planning and scheduling activities and to the use of expert and decision systems in the rail industry.

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“…Rémy [30] minimized the trip time and energy consumption by using the genetic algorithm. Ke et al [31][32][33] designed the energy-efficient speed sequence of the block sections and calculated the optimal operation speed by using the ACO(ant colony optimization) algorithm. Yu [34] further optimized the algorithm of this problem and further improved the calculation speed.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Train Operation in Multiple Interstations with Multi-Population Genetic Algorithm

Huang

et al. 2015

Energies

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Subway systems consume a large amount of energy each year. How to reduce the energy consumption of subway systems has already become an issue of concern in recent years. This paper proposes an energy-efficient approach to reduce the traction energy by optimizing the train operation for multiple interstations. Both the trip time and driving strategy are considered in the proposed optimization approach. Firstly, a bi-level programming model of multiple interstations is developed for the energy-efficient train operation problem, which is then converted into an integrated model to calculate the driving strategy for multiple interstations. Additionally, the multi-population genetic algorithm (MPGA) is used to solve the problem, followed by calculating the energy-efficient trip times. Finally, the paper presents some examples based on the operation data of the Beijing Changping subway line. The simulation results show that the proposed approach presents a better energy-efficient performance than that with only optimizing the driving strategy for a single interstation.

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Optimisation of train energy-efficient operation for mass rapid transit systems

Cited by 74 publications

References 17 publications

Integrated Optimization of Speed Profiles and Power Split for a Tram with Hybrid Energy Storage Systems on a Signalized Route

Integrated Optimization of Speed Profiles and Power Split for a Tram with Hybrid Energy Storage Systems on a Signalized Route

A review of key planning and scheduling in the rail industry in Europe and UK

Optimization of Train Operation in Multiple Interstations with Multi-Population Genetic Algorithm

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