Optimization of Train Speed Curve for Energy Saving Using Efficient and Accurate Electric Traction Models on the Mass Rapid Transit System

Zhao, Xin-Hong; Ke, Bwo-Ren; Lian, Kuo Lung

doi:10.1109/tte.2018.2851785

Cited by 35 publications

(10 citation statements)

References 32 publications

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“…Although the cruise mode can reduce the energy consumption caused by the basic resistance [2], the load of the traction transmission system (TTS) is low in most cases, which might result in low efficiency of the TTS. On basis of that, the electrical energy from the traction power system is not the smallest [3]. To reduce energy consumption of the HSTs from the catenary and improve efficiency of the TTS, a new optimization algorithm to generate energy-efficient strategies should be carried out.…”

Section: Introductionmentioning

confidence: 99%

Speed Trajectory Optimization for a High-Speed Train

Xiao

Zhao

Wang

et al. 2020

WIT Transactions on the Built Environment

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The high-speed railway system has been a significant energy consumer due to the rapid increase of operation mileage and speed. Eco-driving is a promising method to reduce energy consumption, which aims at calculating speed profiles with minimization electric energy consumption under temporal and spatial operation constraints. Cruise control is regarded as the most energy-efficient control strategy when the cost function is the mechanical energy on wheels or the efficiency of traction drive system is simplified as a constant value. However, the efficiency of the traction drive system is varies among different traction force and speed pairs. This paper presents an eco-driving cycle computation problem for high-speed trains considering nonlinear loss of traction drive system. On basis of this model, the "traction-and-coasting" driving strategy is proposed to replace the cruise mode, and corresponding bi-level optimization algorithm is designed. The energy saving performance is investigated by comparing optimized results with the solution based on cruise control. Numerical simulation results illustrate that the traction energy consumption can be reduced by the proposed strategy, and the operation efficiency of the traction drive system can be improved. The economy significance of this method is illustrated and analyzed. For application, the proposed method can be used for a driver assistant system (DAS) or an automatic train operation (ATO) system, which can significantly improve the energy economy of the high-speed railway.

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Section: Introductionmentioning

confidence: 99%

Speed Trajectory Optimization for a High-Speed Train

Xiao

Zhao

Wang

et al. 2020

WIT Transactions on the Built Environment

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show abstract

“…The minimisation of mechanical energy is not equivalent to the minimisation of electrical energy. The interaction among the TPS, the traction transmission system, and wheel‐rail mechanical system is discussed on the basis of the accurate electric traction model, which illustrates the non‐linear relationship between electrical and mechanical power [15]. To reveal the power flow and minimise electrical energy consumption, the detailed model based on the system mechanism is the foundation.…”

Section: Introductionmentioning

confidence: 99%

Eco‐driving control for hybrid electric trams on a signalised route

Xiao

Feng

Wang

et al. 2019

IET Intelligent Transport Systems

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“…Due to the complexity and multi-constraints of such optimization problem, it is difficult to solve them by classical solutions of optimization problem, bionic algorithm, group intelligence algorithm and evolutionary algorithm, etc. have become the major solutions of such optimization problem at present [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

“…At present, methods for optimizing energy-saving of train without changing equipment and infrastructure have been deeply researched by scholars, mainly focusing on improving the utilization of regenerative braking energy, improving the control method, optimizing the operational scheme and optimizing the operation curve, etc. For energyefficient driving and energy conservation, an accurate electric traction model to optimize the operation of train between stations was proposed by Zhao et al in 2018, but the proposed method didn't consider the regenerative braking energy [8]. To minimize the energy-consumption of train, an energysaving optimization method based on the multi-population genetic algorithm was researched by Lin et al in 2017, but the energy-consumption from the mechanism was not analyzed by the proposed method [9].…”

Section: Introductionmentioning

confidence: 99%

“…Due to the limitations of train acceleration, inertia and safety factors, the proposed method is difficult to adjust train speed quickly in practical application. Zhao et al established an optimization model of energy-conservation for a single rapid transit train between stations in 2018, but the method proposed only considered the constant efficiency value of mechanical energy consumption or assumed that mechanical energy was directly converted into electrical energy consumption [8]. In order to save the energy of train, a multi-train energy-saving operation strategy was proposed by Liu and Zhao in 2017, but the method proposed only took into account the schedule time of a train [11].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Research on Optimization of Train Energy-Saving Based on Improved Chicken Swarm Optimization

Yang

2019

IEEE Access

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To obtain an operation curve of a train with minimum energy-consumption and improve the utilization of regenerative braking energy without changing equipment and infrastructure, this paper proposes a new optimization method of energy-saving for a train based on an improved chicken swarm optimization algorithm after analyzing the calculation method of energy-consumption for a train and improving the chicken swarm optimization algorithm. On this basis, this paper establishes an optimization model of energy-saving for a train by taking minimum energy-consumption, accurate stopping and punctuality as optimization objectives, and solves the model with the improved chicken swarm optimization algorithm. Finally, a simulation analysis for the method proposed in this paper is performed by using MATLAB software with the running parameters of Nanning metro line 1 in China. The results of the simulation analysis show that the method proposed in this paper is effective in solving the optimization problem of train energy-saving. INDEX TERMS Improved chicken swarm optimization, optimization of train energy-saving, optimization of train operational scheme.

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Optimization of Train Speed Curve for Energy Saving Using Efficient and Accurate Electric Traction Models on the Mass Rapid Transit System

Cited by 35 publications

References 32 publications

Speed Trajectory Optimization for a High-Speed Train

Speed Trajectory Optimization for a High-Speed Train

Eco‐driving control for hybrid electric trams on a signalised route

Research on Optimization of Train Energy-Saving Based on Improved Chicken Swarm Optimization

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