Automatic train regulation with energy saving using dual heuristic programming

Sheu, Jih-Wen; Lin, Wenwei

doi:10.1049/iet-est.2010.0074

Cited by 16 publications

(4 citation statements)

References 17 publications

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“…Thus, ATR may be linked to DAS so that coasting can be used to avoid conflicting movements (as well as for station stops), hence minimising energy waste in stopping and restarting. A real-time traffic regulation from an energy efficiency point of view can be achieved by implementing optimisation algorithms such those proposed in [90,91].…”

Section: Optimised Traffic Managementmentioning

confidence: 99%

A systems approach to reduce urban rail energy consumption

González-Gil

Palacín

Batty

et al. 2014

Energy Conversion and Management

399

190

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There is increasing interest in the potential of urban rail to reduce the impact of metropolitan transportation due to its high capacity, reliability and absence of local emissions. However, in a context characterised by increasing capacity demands and rising energy costs, and where other transport modes are considerably improving their environmental performance, urban rail must minimise its energy use without affecting its service quality. Urban rail energy consumption is defined by a wide range of interdependent factors; therefore, a system wide perspective is required, rather than focusing on energy savings at subsystem level. This paper contributes to the current literature by proposing an holistic approach to reduce the overall energy consumption of urban rail. Firstly, a general description of this transport mode is given, which includes an assessment of its typical energy breakdown. Secondly, a comprehensive appraisal of the main practices, strategies and technologies currently available to minimise its energy use is provided. These comprise: regenerative braking, energy-efficient driving, traction losses reduction, comfort functions optimisation, energy metering, smart power management and renewable energy micro-generation. Finally, a clear, logical methodology is described to optimally define and implement energy saving schemes in urban rail systems. This includes general guidelines for a qualitative assessment and comparison of measures alongside a discussion on the principal interdependences between them. As a hypothetical example of application, the paper concludes that the energy consumption in existing urban rail systems could be reduced by approximately 25-35% through the implementation of energy-optimised timetables, energy-efficient driving strategies, improved control of comfort functions in vehicles and wayside energy storage devices.

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Section: Optimised Traffic Managementmentioning

confidence: 99%

A systems approach to reduce urban rail energy consumption

González-Gil

Palacín

Batty

et al. 2014

Energy Conversion and Management

399

190

View full text Add to dashboard Cite

show abstract

“…As regard to the adopted methodological approaches, the most common methods for analyzing these strategies are based on integrated simulation-optimization techniques, both in off-line [52,53] and real-time [54][55][56][57][58][59][60][61] contexts. On the other hand, analytical approaches for modelling the implementation of ES strategies can be found in [4,[62][63][64].…”

Section: Literature Reviewmentioning

confidence: 99%

A Passenger-Oriented Optimization Model for Implementing Energy-Saving Strategies in Railway Contexts

D’Acierno

Botte

2018

Energies

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Rail and metro systems are characterized by high-performing and environmentally friendly features that make them a crucial factor for driving modal split towards public transport modes, thus reducing private car use and related externalities (such as air and noise pollution, traffic congestion and accidents). Within this framework, the implementation of suitable energy-saving policies, allowing to reduce energy consumption, but, at the same time, preserving timetable stability and passengers’ satisfaction, may turn out to be imperative. In particular, this study aims to develop an analytical framework for properly supporting the implementation of eco-driving strategies in a passenger-oriented perspective. An application to a rail line in southern Italy is performed so as to demonstrate the usefulness of the proposed approach in determining the optimal compromise between energy reductions and travel time increases.

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“…The output of the critic network is approximation performance index function J on the state x derivative, which is also known as the costate. The action network, also known as "Actor," represents the mapping between system state variables and control variables [20][21][22].…”

Section: Dhp Algorithm Principlementioning

confidence: 99%

Optimal Control of Complex Systems Based on Improved Dual Heuristic Dynamic Programming Algorithm

Wen

Sun

2017

Mathematical Problems in Engineering

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When applied to solving the data modeling and optimal control problems of complex systems, the dual heuristic dynamic programming (DHP) technique, which is based on the BP neural network algorithm (BP-DHP), has difficulty in prediction accuracy, slow convergence speed, poor stability, and so forth. In this paper, a dual DHP technique based on Extreme Learning Machine (ELM) algorithm (ELM-DHP) was proposed. Through constructing three kinds of network structures, the paper gives the detailed realization process of the DHP technique in the ELM. The controller designed upon the ELM-DHP algorithm controlled a molecular distillation system with complex features, such as multivariability, strong coupling, and nonlinearity. Finally, the effectiveness of the algorithm is verified by the simulation that compares DHP and HDP algorithms based on ELM and BP neural network. The algorithm can also be applied to solve the data modeling and optimal control problems of similar complex systems.

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Automatic train regulation with energy saving using dual heuristic programming

Cited by 16 publications

References 17 publications

A systems approach to reduce urban rail energy consumption

A systems approach to reduce urban rail energy consumption

A Passenger-Oriented Optimization Model for Implementing Energy-Saving Strategies in Railway Contexts

Optimal Control of Complex Systems Based on Improved Dual Heuristic Dynamic Programming Algorithm

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