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In this paper we present a robust mixed integer optimization model to utilizeregenerative braking energy produced by trains in a railway network. Anelectric train produces regenerative energy during braking, which is often lostin present technology. To utilize this energy we calculate a timetable whichmaximizes the total overlapping time between the braking and acceleratingphases of suitable train pairs, so that the regenerative energy of a brakingtrain can be transferred to a suitable accelerating one. We apply ouroptimization model to different instances of a railway network for a timehorizon spanning six hours. For each instance, our model finds an optimaltimetable very quickly (largest running time being 86.64 seconds). Compared tothe existing timetables, we observe significant increase in utilization ofregenerative energy for every instance.

A Robust Mixed Integer Optimization Model to Utilize Regenerative Energy of Trains in a Railway Network