Optimal energy saving in DC railway system with on-board energy storage system by using peak demand cutting strategy

Sumpavakup, Chaiyut; Ratniyomchai, Tosaphol; Kulworawanichpong, Thanatchai

doi:10.1007/s40534-017-0146-6

Cited by 28 publications

(23 citation statements)

References 21 publications

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“…Iannuzzi and Tricoli [19] also proposed an energy management control strategy for a similar train configuration with supercapacitors as the secondary energy source. Sumpavakup et al [20] presented an approach to minimize the power consumption on the substation through optimizing the use of on-board supercapacitors on the train during the operation. A comprehensive review on different energy-efficient train control methods is provided by Scheepmaker et al [21].…”

Section: Related Work and Contributionsmentioning

confidence: 99%

Speed profile optimization of catenary-free electric trains with lithium-ion batteries

et al. 2019

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Catenary-free operated electric trains, as one of the recent technologies in railway transportation, has opened a new field of research: speed profile optimization and energy optimal operation of catenary-free operated electric trains. A well-formulated solution for this problem should consider the characteristics of the energy storage device using validated models and methods. This paper discusses the consideration of the lithium-ion battery behavior in the problem of speed profile optimization of catenary-free operated electric trains. We combine the single mass point train model with an electrical battery model and apply a dynamic programming approach to minimize the charge taken from the battery during the catenary-free operation. The models and the method are validated and evaluated against experimental data gathered from the test runs of an actual battery-driven train tested in Essex, UK. The results show a significant potential in energy saving. Moreover, we show that the optimum speed profiles generated using our approach consume less charge from the battery compared to the previous approaches.

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Section: Related Work and Contributionsmentioning

confidence: 99%

Speed profile optimization of catenary-free electric trains with lithium-ion batteries

et al. 2019

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“…Another ESS application approach that focuses on a peak shaving approach for DC railway systems is presented in [15].…”

Section: B Simulation Resultsmentioning

confidence: 99%

Grey Wolf Optimisation of an Operating Strategy for Energy Storage Systems in Electrically Driven Railway Vehicles

Prohl

Aschemann

2019

2019 18th European Control Conference (ECC)

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This paper presents an energy optimal operating strategy for the utilisation of energy storage systems (ESS) in electrically driven railway vehicles. First, a detailed simulation model of the complete power train of a generic railway vehicle, supplied by an electric energy source, is described. The presented operating strategy comprises the power management between the two power sources of the vehicle, namely the catenary as well as the ESS. To derive the energy optimal parametrisation for the proposed power management approach, a Grey Wolf Optimiser (GWO) is applied, which is inspired by the hunting behavior of grey wolves in nature.

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“…Reference [72] develops a study about the regenerative potential in a Metro Line from Istanbul, with 32% of energy recuperated through regenerative braking. Using peak clipping strategies and OESS, savings reach 75% [73].…”

Section: Freight Transport With S-334 and S-252mentioning

confidence: 99%

Analysis, Evaluation and Simulation of Railway Diesel-Electric and Hybrid Units as Distributed Energy Resources

García-Garre

Gabaldón

2019

Applied Sciences

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The objective of this paper involves the analysis, identification and evaluation of different possibilities offered by technology for the improvement and the management of the use of energy and hybridization in railways: On board generation, demand response and energy storage, both in traction and auxiliary loads, considering the aggregation of resources and its stochastic nature. The paper takes into account the importance of efficient use of energy in railways, both currently (trains in service, prototypes) and in the future, considering the trends driven by energy policy scenarios (2030–2050) that will affect service and operation of units during their lifetime. A new activity has been considered that will be relevant in the future in the framework of a new electricity supply paradigm: Smart-Grids. According to this paradigm, the interaction of the Electric Power System and the Railway Supply System (somehow embedded in the Power System) will bring new opportunities for the collaboration of these two systems to perform, in a wise economic fashion, a better and more reliable operation of the complete energy system. The paper is focused on a mixed profile with low-medium traffic (passenger and freight): The first part of the route is electrified (3 kV DC catenary) whereas the second part is not electrified. Results justify that complex policies and objectives bring an opportunity to make cost-effective the hybridization of railway units, especially in low/medium traffic lines, which improves their social and economic sustainability.

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Optimal energy saving in DC railway system with on-board energy storage system by using peak demand cutting strategy

Cited by 28 publications

References 21 publications

Speed profile optimization of catenary-free electric trains with lithium-ion batteries

Speed profile optimization of catenary-free electric trains with lithium-ion batteries

Grey Wolf Optimisation of an Operating Strategy for Energy Storage Systems in Electrically Driven Railway Vehicles

Analysis, Evaluation and Simulation of Railway Diesel-Electric and Hybrid Units as Distributed Energy Resources

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