A method for optimizing urban rail transit timetable based on accurate power flow

A method for optimizing urban rail transit timetable based on accurate power flow

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The timetable of urban rail greatly affects its daily energy consumption.To improve the utilization of renewable energy between trains using timetabling has become an effective way to reduce energy Mineralogy, geochemistry and fluid inclusion studies of Dagh-Dali Zn-Pb(±Au) Deposit, Northern Takab, Northwest Iran consumption.Previous studies ignore or simplify the modelling of traction power supply network, which failed to accurately describe the flow of energy between trains through the power network.

This paper proposed an optimisation method of energy efficiency timetabling considering the power flow of traction power supply network.First, an urban rail transit Rapid recovery of male cats with postrenal acute kidney injury by treating with allogeneic adipose mesenchymal stem cell-derived extracellular vesicles DC traction network model is established, and the current-vector iterative method is used to characterize the energy consumption.Then, a train timetable optimisation model is proposed to minimize the total energy consumption of the traction network system by adjusting the dwell time and section running time.

The genetic algorithm is used to solve the optimisation problem.Finally, simulation result shows that the proposed method can accurately characterize the energy flow and effectively reduce the total energy consumption of the urban rail transit.