Optimization of an MRT train schedule: Reducing maximum traction power by using genetic algorithms

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

Because of the traction power load characteristics of mass rapid transit (MRT) systems, a significant difference exists between the peak and valley of the traction power load curve. Furthermore, an extremely high traction power peak occurs if numerous trains are accelerating simultaneously. Careful train scheduling can avoid the simultaneous acceleration of too many trains, thus reducing maximum traction power, This paper employs genetic algorithms to optimize train scheduling and uses the Kaohsiung MRT system as an example. Simulation results show that the proposed method can significantly reduce the maximum traction power.

Original languageEnglish
Pages (from-to)1366-1372
Number of pages7
JournalIEEE Transactions on Power Systems
Volume20
Issue number3
DOIs
Publication statusPublished - 2005 Aug 1

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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