A timetable optimization model and an improved artificial bee colony algorithm for maximizing regenerative energy utilization in a subway system

Document Type

Article

Publication Date

9-1-2018

Abstract

Maximizing regenerative energy utilization in subway systems has become a hot research topic in recent years. By coordinating traction and braking trains in a substation, regenerative energy is optimally utilized and thus energy consumption from the substation can be reduced. This article proposes a timetable optimization problem to maximize regenerative energy utilization in a subway system with headway and dwell time control. We formulate its mathematical model, and some required constraints are considered in the model. To keep the operation time duration constant, the headway time between different trains can be different. An improved artificial bee colony algorithm is designed to solve the problem. Its main procedure and some related tasks are presented. Numerical experiments based on the data from a subway line in China are conducted, and improved artificial bee colony is compared with a genetic algorithm. Experimental results prove the correctness of the mathematical model and the effectiveness of improved artificial bee colony, which improves regenerative energy utilization for the experimental line and performs better than genetic algorithm.

Identifier

85054131123 (Scopus)

Publication Title

Advances in Mechanical Engineering

External Full Text Location

https://doi.org/10.1177/1687814018797034

e-ISSN

16878140

ISSN

16878132

Issue

9

Volume

10

Grant

1852ZJ1303

Fund Ref

China Scholarship Council

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