Controlling Train Power Consumption with Energy Storage Based on Fuzzy Control - Case Study on Line 3 of Tehran Metro

New high-speed trains need modern energy management methods to reduce energy consumption. A fuzzy method based control method was used to solve this problem in this paper and evaluated the results on basis of data in Tehran metro line 3. Recovering the maximum amount of train kinetic energy when it is in the braking mode and optimal division of traction systems demand between energy storage system and power supply network, are the fundamentals of control strategy. In this control strategy the reference values ​​of voltage and current of super capacitors (storage system) are calculated according to storage system state of charge and actual speed of train as optimal set points. Simulation results performed on the Tehran metro Line 3 trains, show that after applying the control strategy, optimization of energy consumption, optimal DC link voltage regulation and significant reduction in line peak current and power are obtained.