Fundamental study on energy storage system for DC electric railway system

2003 ◽  
Author(s):  
S. Hase ◽  
T. Konishi ◽  
A. Okui ◽  
Y. Nakamichi ◽  
H. Nara ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Fundamental Study ◽  
Railway System ◽  
Electric Railway

scholarly journals Verification of the Reliability of a Superconducting Flywheel Energy Storage System and Its Application to the Railway System

2017 ◽  
Vol 58 (4) ◽  
pp. 303-310 ◽  
Author(s):  
Tomohisa YAMASHITA ◽  
Masafumi OGATA ◽  
Hitoshi MATSUE ◽  
Yoshiki MIYAZAKI ◽  
Motohiko SUGINO ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Flywheel Energy Storage ◽  
Flywheel Energy Storage System ◽  
Railway System

scholarly journals Optimizing braking energy flow through charging status surface expansion

2020 ◽  
Vol 41 (1) ◽  
Author(s):  
Ivan Župan ◽  
Marko Lelas ◽  
Željko Ban ◽  
Viktor Šunde
Keyword(s):  
Energy Efficiency ◽  
Energy Storage ◽  
Energy Flow ◽  
Energy Savings ◽  
Storage System ◽  
Energy Storage System ◽  
Regenerative Braking ◽  
Railway Vehicles ◽  
Braking System ◽  
Electric Railway

Energy savings in electric railway transportation is essential due to the ever-rising energy cost and endeavour to reduce climate change impact. A valuable method to increase energy efficiency is to recuperate and consenquently utilize the regenerative braking energy of electric railway vehicles. The system that stores and reuses the braking energy is called a regenerative braking system, consisting of an energy storage system (ESS), a birdirectional power converter, and a control system, which includes an algorithm controlling the braking energy flow. A properly designed algorithm increases energy efficiency, lessens the stress on the power grid, increases the lifetime of the energy storage system, and enables a catenary-free operation of the electric railway vehicle. The algorithm is defined by combining two algorithms with opposite features – maximum energy savings and minimal number of cycles. The algorithm is then synthesized from those two criteria using an optimization process and then simulated while its effect on energy savings and grid stability is analyzed. Energy savings and a more stable grid are achieved with the use of the algorithm, which corroborates the inclusion of a regenerative braking system in electric railway vehicles.

Sign in / Sign up

Export Citation Format

Share Document