Maximizing Regenerative Braking Energy in Railway Vehicle of Addis Ababa
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Date
2017-12
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
AAU
Abstract
In this thesis, the problem of maximizing regenerative braking energy is addressed to
reduce electrical power consumption of Addis Ababa Light Rail Transit vehicle. The
optimization problem is solved using Improved Arti cial Bee Colony(IABC) algorithm
in case of Ayat-2 to Ayat-1, Mazoria to Chemical Corporation and Meskel Square-1
to Legehar stations and vice versa. The rail road has relatively smaller gradient from
Ayat-2 to Ayat-1 station while steepest slope exist between Meskel Square-1 and Legehar
Stations. After several simulation tests, the regenerative braking speed pro le that
satis es di erent constrains of railway vehicle is recommended for selected stations. As
seen from simulation result, IABC based optimization can restore 25:6383% to 29:4083%
total kinetic energy of vehicle in case of Meskel Square-1 to Legehar (2:767
gradient)
and Ayat-2 to Ayat-1 (0:00905
o
gradient) uphill drive braking operation respectively.
Signi cant amount of electrical energy is restored using IABC optimization algorithm as
compared to constant braking rate operation. Particularly, 1:1984MJ electrical energy is
regenerated using proposed method while 0:6115MJ is recovered using constant braking
rate in case of Meskel Square-1 to Legehar uphill drive braking. In downhill drive braking
operation, the increase in regenerative braking energy is observed since the tangential
component of gravitational force which is exerted on vehicle acts in direction of velocity.
Numerically, 3:3669MJ energy is regenerated using IABC algorithm while 3:1074MJ
energy is restored by constant braking rate operation in case of 2:767
o
o
downhill gradient.
Description
Keywords
Regenerative braking, Artifcial bee colony algorithm, Addis Ababa light train