Published December 1, 2016 | Version v1
Journal article

Energetic optimization of regenerative braking for high speed railway systems

Description

Highlights: • A model of longitudinal dynamics of the High-speed train ETR1000 is presented. • The model includes on board traction and braking subsystems. • Interactions between overhead line and power line are modelled. • The model is validated on real experimental data. • An energy storage strategy for a high-speed line is proposed. - Abstract: The current development trend in the railway field has led to an ever increasing interest for the energetic optimization of railway systems (especially considering the braking phases), with a strong attention to the mutual interactions between the loads represented by railway vehicles and the electrical infrastructure, including all the sub-systems related to distribution and smart energy management such as energy storage systems. In this research work, the authors developed an innovative coupled modelling approach suitable for the analysis of the energetic optimization of railway systems and based on the use of the new object oriented language Matlab-Simscape™, which presents several advantages with respect to conventional modelling tools. The proposed model has been validated considering an Italian Direct Current High-speed line and the High-speed train ETR 1000. Furthermore, the model has been used to perform an efficiency analysis, considering the use of energy storage devices. The results obtained with the developed model show that the use of energy recovery systems in high-speed railway can provide great opportunities of energy savings.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2016.10.011

Additional details

Identifiers

DOI
10.1016/j.enconman.2016.10.011;
PII
S0196-8904(16)30910-4;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
129
Journal Page Range
p. 200-215
ISSN
0196-8904
CODEN
ECMADL

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48075119
Subject category
S42: ENGINEERING; S29: ENERGY PLANNING, POLICY AND ECONOMY;
Resource subtype / Literary indicator
Numerical Data
Descriptors DEI
DIRECT CURRENT; EFFICIENCY; ENERGY MANAGEMENT; ENERGY RECOVERY; ENERGY STORAGE; ENERGY STORAGE SYSTEMS; EXPERIMENTAL DATA; RAILWAYS; REGENERATIVE BRAKING; SIMULATION; TRAINS
Descriptors DEC
CURRENTS; DATA; ELECTRIC CURRENTS; ENERGY SYSTEMS; INFORMATION; MANAGEMENT; NUMERICAL DATA; STORAGE; VEHICLES

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.