An integrated metro operation optimization to minimize energy consumption

Zhao, Ning; Roberts, Clive; Hillmansen, Stuart; Tian, Zhongbei; Weston, Paul; Lei, Chen

doi:10.1016/j.trc.2016.12.013

Cited by 88 publications

(32 citation statements)

References 24 publications

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“…Another integration optimization method is presented in [30]. The aim of this paper is to optimize substations' energy consumption through finding optimal train movement mode sequences, inter-station journey times, and service intervals.…”

Section: 6%mentioning

confidence: 99%

Recuperation of Regenerative Braking Energy in Electric Rail Transit Systems

Khodaparastan

Mohamed

Brandauer

2019

IEEE Trans. Intell. Transport. Syst.

201

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Electric rail transit systems are large consumers of energy. In trains with regenerative braking capability, a fraction of the energy used to power a train is regenerated during braking. This regenerated energy, if not properly captured, is typically dumped in the form of heat to avoid overvoltage. Finding a way to recuperate regenerative braking energy can result in economic as well as technical merits. In this comprehensive paper, the various methods and technologies that were proposed for regenerative energy recuperation have been analyzed, investigated and compared. These technologies include: train timetable optimization, energy storage systems (onboard and wayside), and reversible substations.Index Terms-Onboard energy storage, regenerative braking, reversible substation, wayside energy storage.

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Section: 6%mentioning

confidence: 99%

Recuperation of Regenerative Braking Energy in Electric Rail Transit Systems

Khodaparastan

Mohamed

Brandauer

2019

IEEE Trans. Intell. Transport. Syst.

201

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“…Optimal control based on the PMP [9] PMP Single [7] PMP Single [10] PMP Single [8] PMP Single [11,12] PMP Single Heuristic algorithm [13] Genetic Algorithm Single [14] Genetic Algorithm, Ant Colony Optimization and Dynamic Programming Single [15] Genetic Algorithm Multiple [16] Brute force, Ant Colony Optimization and Genetic Algorithm Multiple [17] Genetic Algorithm Multiple [18] Genetic Algorithm Single Mathematical programming [19] Sequential Quadratical Programming Single [20] Pseudospectral method and MILP Single [21] Kuhn-Tucker Conditions Multiple [22] Bellman-ford Algorithm Single [6] MILP Single [23] Dynamic Programming Single [4] Pseudospectral method Single [24] Pseudospectral method Multiple [25] Genetic algorithm and Brute Force Multiple [26] Monte Carlo Simulation Multiple This paper MILP & PMP (Distance-based mathematical programming and PMP-based numerical algorithms)…”

Section: Publication Algorithms/theory Multiple/single Train(s)mentioning

confidence: 99%

“…The optimization of the train speed profile was based on a simple assumption that the optimal train trajectory consists of maximum acceleration, coasting, and maximum deceleration. The authors in [25] proposed an integrated optimization model to simultaneously consider both timetabling and train trajectory for minimum energy consumption using GA and brute force methods. Based on Monte Carlo simulation, the authors in [26] presented an integrated optimization method to incorporate the train operation and electric network power flow.…”

Section: Publication Algorithms/theory Multiple/single Train(s)mentioning

confidence: 99%

Adaptive Partial Train Speed Trajectory Optimization

Tan

Bao

et al. 2018

Energies

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Train speed trajectory optimization has been proposed as an efficient and feasible method for energy-efficient train operation without many further requirements to upgrade the current railway system. This paper focuses on an adaptive partial train speed trajectory optimization problem between two arbitrary speed points with a given traveling time and distance, in comparison with full speed trajectory with zero initial and end speeds between two stations. This optimization problem is of interest in dynamic applications where scenarios keep changing due to signaling and multi-train interactions. We present a detailed optimality analysis based on Pontryagin’s maximum principle (PMP) which is later used to design the optimization methods. We propose two optimization methods, one based on the PMP and another based on mixed-integer linear programming (MILP), to solve the problem. Both methods are designed using heuristics obtained from the developed optimality analysis based on the PMP. We develop an intuitive numerical algorithm to achieve the optimal speed trajectory in four typical case scenarios; meanwhile, we propose a new distance-based MILP approach to optimize the partial speed trajectory in the same scenarios with high modeling precision and computation efficiency. The MILP method is later used in a real engineering speed trajectory optimization to demonstrate its high computational efficiency, robustness, and adaptivity. This paper concludes with a comparison of both methods in addition to the widely applied pseudospectral method and propose the future work of this paper.

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“…If there is no accelerating train at that time, this feedback energy is wasted by braking resistors. Thus, synchronizing the accelerating and braking of trains through a timetable optimization is a simple way to improve the use of regenerative energy [31,33,36,37]. A simple way to recover the kinetic braking energy is to store it as potential energy even in the mass of the vehicle, by raising platforms in the railway stations.…”

Section: Introductionmentioning

confidence: 99%

A Review of the Energy Efficiency Improvement in DC Railway Systems

Popescu

Bitoleanu

2019

Energies

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This study is focused on the topical issue of increasing the energy efficiency in DC railway systems, in the context of global concerns for reducing the CO2 emissions by minimizing the energy consumption and energy loss. The main achievements in this complex issue are synthesized and discussed in a comprehensive review, emphasizing the implementation and application of the existing solutions on concrete case studies. Thus, all specific subtopics related to the energy efficiency are covered, starting with power quality conditioning and continuing with the recovery of braking energy, of which a large part is lost in the classic DC-traction substations. The solutions of onboard and wayside storage systems for the braking energy are discussed and compared, and practical examples are given. Then, the achievements in transforming the existing DC-traction substations in reversible substations with capabilities of power quality improvement are systematically reviewed by illustrating the main results of recent research on this topic. They include the equipment available on the market and solutions validated through implementations on experimental models. Through the results of this extensive review, useful reference and support are provided for the research and development focused on energy efficient traction systems.

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An integrated metro operation optimization to minimize energy consumption

Cited by 88 publications

References 24 publications

Recuperation of Regenerative Braking Energy in Electric Rail Transit Systems

Recuperation of Regenerative Braking Energy in Electric Rail Transit Systems

Adaptive Partial Train Speed Trajectory Optimization

A Review of the Energy Efficiency Improvement in DC Railway Systems

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