Simulation-based assessment of the installation of a Reversible Substation in a railway line, including a realistic model of large traffic perturbations

Roch-Dupré, David; Cucala, Asunción P.; Pecharromán, Ramón Rodríguez; López-López, Álvaro J.; Fernández-Cardador, Antonio

doi:10.1016/j.ijepes.2019.105476

“…As previously stated, the optimization algorithms need information from the railway simulations in order to compute the fitness function. The description of the railway simulator used in this research is out of the scope of this paper, but it must be noted that it thoroughly detailed in [16,17,38], both from the traffic and electrical modeling points of view. The traffic modeling and simulation include use of different headways for the different time bands (the headway being the time interval between consecutive trains), use of different Automatic Train Operation (ATO) speed profiles, variability in the dwell times of the short-turn and terminal stations, use of realistic dwell times in passenger stations obtained from stochastic models and implementation of a centralized traffic regulation model that automatically manages traffic operation on metro lines.…”

Section: Middleware Between Optimization Algorithms and Railway Simul...mentioning

confidence: 99%

“…The traffic modeling and simulation include use of different headways for the different time bands (the headway being the time interval between consecutive trains), use of different Automatic Train Operation (ATO) speed profiles, variability in the dwell times of the short-turn and terminal stations, use of realistic dwell times in passenger stations obtained from stochastic models and implementation of a centralized traffic regulation model that automatically manages traffic operation on metro lines. For more details about the traffic models implemented in the simulator, see [16,17].…”

Section: Middleware Between Optimization Algorithms and Railway Simul...mentioning

confidence: 99%

“…Thus, an oversimplified traffic model consisting of a single traffic timetable with constant dwell times can lead to significant errors in the computation of the energy saving figures and, consequently, to an incorrect decision-making. In order to avoid it, this paper continues the line of research proposed in [16,17] and makes use of very realistic traffic models that allow to generate a large number of representative and realistic scenarios, so that the information provided by the optimization algorithms is accurate enough to make good decisions about the optimum installation of RSs or ESSs.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Location and Sizing of Energy Storage Systems in DC-Electrified Railway Lines Using a Coral Reefs Optimization Algorithm with Substrate Layers

Roch-Dupré

¹

,

Camacho-Gómez

²

,

Cucala

³

et al. 2021

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This paper deals with the problem of finding the optimal location and sizing of Energy Storage Systems in DC-electrified railway lines. These devices increment the use of the regenerated energy produced by the trains in the braking phases, as they store the energy to later provide to the catenary the excess of regenerated energy, that otherwise would be lost in the rheostats. However, these infrastructures require a high initial investment that, in some cases, may question their profitability. We propose a multi-method ensemble meta-heuristic to obtain the optimal solution to the problem, with a high level of accuracy. Specifically, the Coral Reefs Optimization with Substrate Layers (CRO-SL) is proposed, an evolutionary-type approach able to run different search procedures within the same population. We will evaluate the performance of the CRO-SL in the problem, and we will show that it performs better than the best known existing meta-heuristics for this problem.

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“…to connect DC -AC inverter in parallel with the unidirectional power supply rectifier circuit so that the regenerative braking energy could be fed directly to the AC grid as shown in Fig. 2 [5], [6], [19], [31]- [37]. This method is called reversible or inverting substation.…”

Section: Energy Storage Systemmentioning

confidence: 99%

Review of Energy Storage Systems in Regenerative Braking Energy Recovery in DC Electrified Urban Railway Systems: Converter Topologies, Control Methods & Future Prospects

Sadiq¹

2021

Preprint

0

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<p>Electrified urban railway systems are large consumers of energy in urban areas and thus, there is a need for energy saving measures in this transportation sector. Recuperation of train’s regenerative braking energy (RBE) is one of the best ways for attaining high levels of energy efficiency in this area. Energy Storage Systems (ESSs) prove to be the most practical and viable solution for maximizing the RBE utilization in urban railway systems. In the existing related reviews of ESSs, few papers covered the review of ESS technologies or converter interface. However, a comprehensive review is needed in this regard. This paper discusses an overview of urban railway electrification, and detail review for the three ESS components – ESS Technologies, Bidirectional DC-DC Converters (BDCs), and Controller Unit. This study concludes that among the storage technologies, supercapacitor ESS appears to be the most suitable followed by Lithium-ion batteries and flywheels. For BDC, cascaded BDC is the most suitable followed by dual active bridge. For control methods, fuzzy logic and artificial intelligent are recommended among other control strategies. Thus, the key contribution of this paper is the comprehensive review and analyses of the ESS’s components in the recovery of RBE in urban railways. </p>

show abstract

“…to connect DC -AC inverter in parallel with the unidirectional power supply rectifier circuit so that the regenerative braking energy could be fed directly to the AC grid as shown in Fig. 2 [5], [6], [19], [31]- [37]. This method is called reversible or inverting substation.…”

Section: Energy Storage Systemmentioning

confidence: 99%

Review of Energy Storage Systems in Regenerative Braking Energy Recovery in DC Electrified Urban Railway Systems: Converter Topologies, Control Methods & Future Prospects

SADIQ¹

2021

Preprint

0

View full text Add to dashboard Cite

<p>Electrified urban railway systems are large consumers of energy in urban areas and thus, there is a need for energy saving measures in this transportation sector. Recuperation of train’s regenerative braking energy (RBE) is one of the best ways for attaining high levels of energy efficiency in this area. Energy Storage Systems (ESSs) prove to be the most practical and viable solution for maximizing the RBE utilization in urban railway systems. In the existing related reviews of ESSs, few papers covered the review of ESS technologies or converter interface. However, a comprehensive review is needed in this regard. This paper discusses an overview of urban railway electrification, and detail review for the three ESS components – ESS Technologies, Bidirectional DC-DC Converters (BDCs), and Controller Unit. This study concludes that among the storage technologies, supercapacitor ESS appears to be the most suitable followed by Lithium-ion batteries and flywheels. For BDC, cascaded BDC is the most suitable followed by dual active bridge. For control methods, fuzzy logic and artificial intelligent are recommended among other control strategies. Thus, the key contribution of this paper is the comprehensive review and analyses of the ESS’s components in the recovery of RBE in urban railways. </p>

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Simulation-based assessment of the installation of a Reversible Substation in a railway line, including a realistic model of large traffic perturbations

Cited by 8 publications

References 33 publications

Optimal Location and Sizing of Energy Storage Systems in DC-Electrified Railway Lines Using a Coral Reefs Optimization Algorithm with Substrate Layers

Optimal Location and Sizing of Energy Storage Systems in DC-Electrified Railway Lines Using a Coral Reefs Optimization Algorithm with Substrate Layers

Review of Energy Storage Systems in Regenerative Braking Energy Recovery in DC Electrified Urban Railway Systems: Converter Topologies, Control Methods & Future Prospects

Review of Energy Storage Systems in Regenerative Braking Energy Recovery in DC Electrified Urban Railway Systems: Converter Topologies, Control Methods & Future Prospects

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