Control of metro-trains equipped with onboard supercapacitors for energy saving and reduction of power peak demand

Ciccarelli, Flavio; Iannuzzi, Diego; Tricoli, Pietro

doi:10.1016/j.trc.2012.02.001

Cited by 98 publications

(49 citation statements)

References 26 publications

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“…However, although it falls outside the scope of the study, the authors explain the importance of taking traffic (timetable) stochastic variables into account. Other examples of on-board ESSs studies with simplified traffic conditions may be found in the literatures [21,22].…”

Section: Optimisation Study Scope Headways Remarksmentioning

confidence: 99%

Improving the Traffic Model to Be Used in the Optimisation of Mass Transit System Electrical Infrastructure

et al. 2017

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Among the different approaches for minimising the energy consumption of mass transit systems (MTSs), a common concern for MTS operators is the improvement of the electrical infrastructure. The traffic on the lines under analysis is one of the most important inputs to the studies devoted to improving MTS infrastructure, since it represents where and how frequently it is possible to save energy. However, on the one hand, MTS electrical studies usually simplify the traffic model, which may lead to a misrepresentation of the energy interactions between trains. On the other hand, if the stochastic traffic is rigorously modelled, the size of the simulation problem could grow excessively, which in turn could make the time to obtain results unmanageable. To cope with this issue, this paper presents a method to obtain a reduced-size set of representative scenarios. Firstly, a traffic model including the most representative stochastic traffic variables is developed. Secondly, a function highly correlated with energy savings is proposed to make it possible to properly characterise the traffic scenarios. Finally, this function is used to select the most representative scenarios. The representative scenario set obtained by the application of this method is shown to be sufficiently accurate with a limited number of scenarios. The traffic approach in this paper improves the accuracy with respect to the usual traffic approach used in the literature.

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Section: Optimisation Study Scope Headways Remarksmentioning

confidence: 99%

Improving the Traffic Model to Be Used in the Optimisation of Mass Transit System Electrical Infrastructure

et al. 2017

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“…This is typically useful for studies of on-vehicle [5][6][7] and railside energy storage [5,8,9]. When is it optimal to charge/discharge?…”

Section: Contributionmentioning

confidence: 99%

An SOS2-based moving trains, fixed nodes, railway power system simulator

Abrahamsson¹,

Söder²

2014

WIT Transactions on the Built Environment

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This paper presents and proposes an optimization model for railway power supply system simulations. It includes detailed power systems modeling, train movements in discretized time considering running resistance and other mechanical constraints, and the voltage-drop-induced reduction of possible train tractive forces. The model has a fixed number of stationary power system nodes. The proposed model uses SOS2 (special ordered sets of type 2) variables to distribute the train loads to the two most adjacent power system nodes available.The impact of the number of power system nodes along the contact line and the discretized time step length impacts on model accuracy and computation times are investigated.The program is implemented in GAMS (General Algebraic Modeling System). Experiences from various solver choices are also presented. The train traveling times are minimized in the example. Other studies could, e.g. consider energy consumption minimization. The numerical example is representative for a Swedish non-centralized, rotary-converter fed railway power supply system. The proposed concept is however generalizable and could be applied for all kinds of moving load power system studies.

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“…What is optimal if things would stay the same forever is normally not optimal when the modeling includes the changes of the system. Optimization in the time dimension will typically be useful for studies of on-vehicle Ciccarelli et al, 2012;Barrero et al, 2008) and railside (Barrero et al, 2008;Iannuzzi et al, 2011) energy storage.…”

Section: The Idea Behind the Proposed Modelmentioning

confidence: 99%

“…Present-day models (Shiokawa and Tagaki, 2012;López-López et al, 2012;Ciccarelli et al, 2012) often consider catenary voltage levels and train speeds for determining the optimal operation of energy storage equipment.…”

Section: The Idea Behind the Proposed Modelmentioning

confidence: 99%

An electromechanical moving load fixed node position and fixed node number railway power supply systems optimization model

Abrahamsson

Östlund

Schütte³

et al. 2013

Transportation Research Part C: Emerging Technologies

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This paper presents an optimization model for simulations of railway power supply systems. It includes detailed power systems modeling, train movements in discretized time considering running resistance and other mechanical constraints, and the voltage-drop-induced reduction of possible train tractive forces. The model has a fixed number of stationary power system nodes, which alleviates optimized operation over time. The proposed model uses SOS2 (Special Ordered Sets of type 2) variables to distribute the train loads to the two most adjacent power system nodes available.The impacts of the number of power system nodes along the contact line and the discretized time step length on model accuracy and computation times are investigated.The program is implemented in GAMS. Experiences from various solver choices are also discussed. The train traveling times are minimized in the example. Other studies could e.g. consider energy consumption minimization. The numerical example is representative for a Swedish decentralized, rotary-converter fed railway power supply system. The proposed concept is however generalizable and could be applied for all kinds of moving load power system studies.

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Control of metro-trains equipped with onboard supercapacitors for energy saving and reduction of power peak demand

Cited by 98 publications

References 26 publications

Improving the Traffic Model to Be Used in the Optimisation of Mass Transit System Electrical Infrastructure

Improving the Traffic Model to Be Used in the Optimisation of Mass Transit System Electrical Infrastructure

An SOS2-based moving trains, fixed nodes, railway power system simulator

An electromechanical moving load fixed node position and fixed node number railway power supply systems optimization model

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