Agent-based energy management in railways

Khayyam, Sara; Ponci, Ferdinanda; Lakhdar, Hakima; Monti, Antonello

doi:10.1109/esars.2015.7101445

Cited by 7 publications

(7 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section is presented the results of the proposed methodology. Specifically, is illustrated the results for 7 EAI Endorsed Transactions on Energy Web Online First Table 1. List of fuzzy rules with the initial weights.…”

Section: Results and Preliminary Discussionmentioning

confidence: 99%

“…From the outcomes of the MERLIN European project 1 , an integrated EMS was investigated, with the viability demonstrated with several publications. Khayyam et al [7,8] firstly presented the Railway Energy Management System (REM-S) concept and architecture, where the contribution is in the demonstration that the railway systems are eligible to the application of the Smart Grid concept, where three objectives are listed: 1) Optimization of the energy consumption, while keeping the fulfilment of the performance requirements; 2) Optimization of the power demand, by reducing, as an example, the peak power 1 https://cordis.europa.eu/project/id/314125…”

Section: Energy Management In Smart Railwaysmentioning

confidence: 99%

See 1 more Smart Citation

Towards Smart Railways: A Charging Strategy for Railway Energy Storage Systems

Morais¹,

Afonso²,

Martins³

2021

EAI Endorsed Transactions on Energy Web

View full text Add to dashboard Cite

The huge power requirements of future railways require the usage of energy-efficient strategies towards a more intelligent railway system. The usage of on-board energy storage systems enables better usage of the traction energy with a higher degree of freedom. In this article is proposed a top-level charging controller for the on-board and wayside railway energy storage systems. Its structure comprehends two processing levels: a real-time fuzzy logic controller for each energy storage system, and a genetic algorithm meta-heuristic, that remotely and automatically tune the fuzzy rules weight. As global results, the reduction of regenerated energy is 22.3% with the fuzzy logic controller. With the optimization strategy, this reduction can be further extended to 28.7%. The need for a smart railway framework is also discussed towards a realistic implementation of such charging strategy. Thus, with a high degree of flexibility, the efficiency of railway energy systems can be increased with the proposed framework.

show abstract

Section: Results and Preliminary Discussionmentioning

confidence: 99%

Section: Energy Management In Smart Railwaysmentioning

confidence: 99%

Towards Smart Railways: A Charging Strategy for Railway Energy Storage Systems

Morais¹,

Afonso²,

Martins³

2021

EAI Endorsed Transactions on Energy Web

View full text Add to dashboard Cite

show abstract

“…Many countries in Asia such as Thailand, Singapore and India have plans to expand the existing routes in their mass transit systems to cover all urban areas [1]. Energy efficiency and management are undoubtedly the big challenges in the railway systems [2]. In electric traction systems, recuperation of the braking energy highly improves energy efficiency [3,4].…”

Section: Introductionmentioning

confidence: 99%

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

2017

View full text Add to dashboard Cite

A problem of peak power in DC-electrified railway systems is mainly caused by train power demand during acceleration. If this power is reduced, substation peak power will be significantly decreased. This paper presents a study on optimal energy saving in DC-electrified railway with on-board energy storage system (OBESS) by using peak demand cutting strategy under different trip time controls. The proposed strategy uses OBESS to store recovered braking energy and find an appropriated time to deliver the stored energy back to the power network in such a way that peak power of every substations is reduced. Bangkok Mass Transit System (BTS)-Silom Line in Thailand is used to test and verify the proposed strategy. The results show that substation peak power is reduced by 63.49% and net energy consumption is reduced by 15.56% using coasting and deceleration trip time control.

show abstract

“…According to the standard presented in [237], these layers are further divided into different domains and zones, wherein domains cover the complete energy conversion sequence, whereas zones are divided to facilitate different hierarchical levels of the energy management system (see Figure 18). As discussed in [238], the SGAM concept is also applicable to the development of advanced energy management control systems in smart railways. A novel Internet of Energy (IoE) concept is proposed as a way of integrating different energy technologies into smart power systems using advanced ICT-based tools that were already developed within the Industrial IoT concept [239].…”

mentioning

confidence: 99%

“…The effective power flow control between the railway power grid and the main power grid requires the non-reversible sub-stations (SSTs) to be augmented by power subsystems that are capable of real-time energy balancing, such as reversible sub-stations (RSSTs) and intelligent sub-stations (ISST), as shown in Figure 20. Such resources, along with the local ESS, can effectively handle reverse power flows from electric trains equipped with dynamic on-board energy management (DOEM) systems used for kinetic energy recuperation [238]. Since such a railway energy management system (REM-S) interacts with the main power grid and energy markets, its operation needs to be optimised [238] on a daily basis (day-ahead optimisation), which can take into account the daily train schedules, and on a short time scale (with schedules that are 15 min ahead being typical), which needs to fulfil the day-ahead power profile while taking into account the excesses and restrictions of local power production by coordinating between sub-stations and DERs.…”

mentioning

confidence: 99%

An Overview of Current Challenges and Emerging Technologies to Facilitate Increased Energy Efficiency, Safety, and Sustainability of Railway Transport

Kljaić,

Pavković,

Cipek

et al. 2023

Future Internet

View full text Add to dashboard Cite

This article presents a review of cutting-edge technologies poised to shape the future of railway transportation systems, focusing on enhancing their intelligence, safety, and environmental sustainability. It illustrates key aspects of the energy-transport-information/communication system nexus as a framework for future railway systems development. Initially, we provide a review of the existing challenges within the realm of railway transportation. Subsequently, we delve into the realm of emerging propulsion technologies, which are pivotal for ensuring the sustainability of transportation. These include innovative solutions such as alternative fuel-based systems, hydrogen fuel cells, and energy storage technologies geared towards harnessing kinetic energy and facilitating power transfer. In the following section, we turn our attention to emerging information and telecommunication systems, including Long-Term Evolution (LTE) and fifth generation New Radio (5G NR) networks tailored for railway applications. Additionally, we delve into the integral role played by the Industrial Internet of Things (Industrial IoT) in this evolving landscape. Concluding our analysis, we examine the integration of information and communication technologies and remote sensor networks within the context of Industry 4.0. This leveraging of information pertaining to transportation infrastructure promises to bolster energy efficiency, safety, and resilience in the transportation ecosystem. Furthermore, we examine the significance of the smart grid in the realm of railway transport, along with the indispensable resources required to bring forth the vision of energy-smart railways.

show abstract

Agent-based energy management in railways

Cited by 7 publications

References 5 publications

Towards Smart Railways: A Charging Strategy for Railway Energy Storage Systems

Towards Smart Railways: A Charging Strategy for Railway Energy Storage Systems

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

An Overview of Current Challenges and Emerging Technologies to Facilitate Increased Energy Efficiency, Safety, and Sustainability of Railway Transport

Contact Info

Product

Resources

About