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An advanced simulation scheme for electric railway power systems based on artificial life approach

Authors
Journal
Applied Mathematics and Computation
0096-3003
Publisher
Elsevier
Publication Date
Volume
91
Issue
1
Identifiers
DOI: 10.1016/s0096-3003(97)10012-1
Keywords
  • Electric Train
  • Train Dynamic Behavior
  • Dc System Simulation
  • Artificial Life

Abstract

Abstract This paper describes an advanced simulation scheme for DC electric railway power systems, taking train dynamic behaviors into consideration. The results obtained from the power system simulation are referred to aid the DC substation equipment selection process. In the present simulation, train dynamic behaviors are ignored. Therefore, simulation results are essentially different from the field data since a fleet behaves like lives under crush load circumstances. Two factors affect fleet dynamic behaviors. One is the passengers' flow at every station, which causes anticipated delays of trains. The other is the railroad signal indications, which keep the distances among trains at appropriate intervals. These factors should be introduced into the power system simulation. An example representing the crush load circumstances using the advanced approach is given. The result shows that the feeder current variations are similar to the field data.

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