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. In this research, a fuzzy based control method is proposed to solve this problem. The results are evaluated on the basis of data from Line 3 of Tehran Metro network. Recovering the maximum amount of train kinetic energy when it is in the braking mode and optimal conditioning of traction systems demand between energy storage system and power supply network, are the fundamentals of control strategy. In the 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. The results from the modelling and simulations demonstrate 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 achieved.