Title of article
Controlling Train Power Consumption with Energy Storage Based on Fuzzy Control - Case Study on Line 3 of Tehran Metro
Author/Authors
Sandidzadeh, Mohammad School of Railway Engineering - Iran University of Science & Technology , Tofigh Faizy, Ali School of Railway Engineering - Iran University of Science & Technology , Soleymaani, Farzaad School of Railway Engineering - Iran University of Science & Technology
Pages
11
From page
39
To page
49
Abstract
New high-speed trains need modern energy management methods to
reduce energy consumption. In this research, a fuzzy based control method
is proposed to solve this problem. The results are evaluated on the basis of
data from Line 3 of Tehran Metro network. Recovering the maximum
amount of train kinetic energy when it is in the braking mode and optimal
conditioning of traction systems demand between energy storage system
and power supply network, are the fundamentals of control strategy. In the
control strategy the reference values of voltage and current of super
capacitors (storage system) are calculated according to storage system
state of charge and actual speed of train as optimal set points. The results
from the modelling and simulations demonstrate that after applying the
control strategy, optimization of energy consumption, optimal DC link
voltage regulation and significant reduction in line peak current and power
are achieved.
Keywords
Electric Railway , Energy Storage System , Fuzzy Control Strategy , Super Capacitors , Energy Consumption
Journal title
Astroparticle Physics
Serial Year
2019
Record number
2469571
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