Energy-Efficient Locomotive Operation for Chinese Mainline Railways by Fuzzy Predictive Control

Bai, Yun; Ho, Т.K.; Mao, Baohua; Ding, Yong; Chen, Shaokuan

doi:10.1109/tits.2013.2292712

Cited by 47 publications

(26 citation statements)

References 26 publications

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“…This accuracy is especially important in metropolitan lines equipped with Automatic Train Operation systems (ATO). Different optimization techniques have been used in combination with simulation-Genetic Algorithms (GA) [29]- [38], Artificial Neural Networks [39], [40], a combination of both techniques [41], Differential Evolution algorithms (DE) [42], Ant Colony Optimization (ACO) [32], prediction techniques [43] and direct search methods [44], [45].…”

mentioning

confidence: 99%

Design of Robust and Energy-Efficient ATO Speed Profiles of Metropolitan Lines Considering Train Load Variations and Delays

Fernández-Rodríguez

Fernández-Cardador

Cucala

et al. 2015

IEEE Trans. Intell. Transport. Syst.

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Metropolitan railway operators' strategic plans include nowadays actions to reduce energy consumption. The application of ecodriving initiatives in lines equipped with automatic train operation (ATO) systems can provide important savings with low investments. Previous studies carried out under the ATO framework have not considered the main uncertainties in the traffic operation: the train load and delays in the line. This paper proposes a method to design robust and efficient speed profiles to be programmed in the ATO equipment of a metro line. First, an optimal Pareto front for ATO speed profiles that are robust to changes in train load is constructed. There are two objectives: running time and energy consumption. A robust optimization technique and an alternative method based on the conservation of the shape of the speed profiles (pattern robustness) are compared. Both procedures make use of a multi objective particle swarm optimization algorithm. Then, the set of speed profiles to be programmed in the ATO equipment is selected from the robust Pareto front by means of an optimization model. This model is a particle swarm optimization algorithm (PSO) to minimize the total energy consumption considering the statistical information about delays in the line. This procedure has been applied to a case study. The results showed that the pattern robustness is more restrictive and meaningful than the robust optimization technique as it provides information about shapes that are more comfortable for passengers. In addition, the use of statistical information about delays provides additional energy savings between 3% and 14%.Index Terms-Communication-based train control (CBTC), energy saving, multi objective particle swarm optimization (MOPSO), subway systems, train load variations, train operation, uncertainty.

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mentioning

confidence: 99%

Design of Robust and Energy-Efficient ATO Speed Profiles of Metropolitan Lines Considering Train Load Variations and Delays

Fernández-Rodríguez

Fernández-Cardador

Cucala

et al. 2015

IEEE Trans. Intell. Transport. Syst.

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“…They have successfully applied fuzzy prediction, two-level hierarchical intelligent control, and multi-objective optimizations to railway automation systems. Bai et al [20] and some other researchers have also performed very important work on train intelligent control using fuzzy logic, which has unique advantages in describing complex deduction processes and is often combined with NNs (neural networks), GAs (genetic algorithms), etc. to improve its performance.…”

Section: Mathematical Methods and Optimal Theorymentioning

confidence: 99%

Energy-Efficient Speed Profile Approximation: An Optimal Switching Region-Based Approach with Adaptive Resolution

Yang

Jia

et al. 2016

Energies

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Speed profile optimization plays an important role in optimal train control. Considering the characteristics of an electrical locomotive with regenerative braking, this paper proposes a new algorithm for target speed profile approximation. This paper makes the following three contributions: First, it proves that under a certain calculation precision, there is an optimal coast-brake switching region-not just a point where the train should be switched from coasting mode to braking mode. This is very useful in engineering applications. Second, the paper analyzes the influence of regenerative braking on the optimal coast-brake switching region and proposes an approximate linear relationship between the optimal switching region and the regeneration efficiency. Third, the paper presents an average speed equivalent algorithm for local speed profile optimization in steep sections. In addition, this paper simplifies the proof of the optimality of smooth running on a non-steep track in two steps. The effects on energy consumption from two important factors (optimal coast and running time) are systematically analyzed. Extensive simulations verify these points of view and demonstrate that the proposed approximation approach is computationally efficient and achieves sufficient engineering accuracy.

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“…One of the main factors for increasing the quality of traction of wheels and rails is the development of more advanced structures of crew pieces of rolling stock [3][4][5]. Today, introduction of new locomotive control systems as the factor of energy efficiency is directly related to intelligent technologies [6,7].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Boundary minimum resistance of circuit R minWF at operation of the electric motor on a weakened field of excitation is (6) where R WE is the resistance of winding of excitation of a traction electric motor, Ohm; R rwmin is the minimum resistance of wires, Ohm; R mmin is the minimal resistance of shunting resistor, Оhm; R kmmin is the minimal resistance of contactor of shunting, Ohm.…”

Section: Deviation Of Resistances Of Armature Circuitsmentioning

confidence: 99%

Study of the influence of electric transmission parameters on the efficiency of freight rolling stock of direct current

Gorobchenko¹,

Fomin²,

Fomin

et al. 2018

EEJET

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Energy-Efficient Locomotive Operation for Chinese Mainline Railways by Fuzzy Predictive Control

Cited by 47 publications

References 26 publications

Design of Robust and Energy-Efficient ATO Speed Profiles of Metropolitan Lines Considering Train Load Variations and Delays

Design of Robust and Energy-Efficient ATO Speed Profiles of Metropolitan Lines Considering Train Load Variations and Delays

Energy-Efficient Speed Profile Approximation: An Optimal Switching Region-Based Approach with Adaptive Resolution

Study of the influence of electric transmission parameters on the efficiency of freight rolling stock of direct current

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