The main goal of this thesis is to improve the efficiency of power consumption for single train and propose the effects of the voltage variation to AC/DC power flow. This thesis establishes a simplified mathematic model for motor drivers with the magnetic vector control laws. Furthermore, it designs the framework of the motor drives model with the power system blockset of the MATLAB/SIMULINK. The mass rapid transit(MRT) power system framework are also introduced in the thesis. Besides the power and propelment system model are developed. Due to the differences of the load pattern for the MRT system and the other customers, the analysis can be separated into static station load and dynamic load during the train operations. Static station load is constant and easy to measure. But dynamic load leads to some extent of variation depended on the MRT network characteristics and the headway of trains. The power consumption for dynamic load is about 60-70% of the whole MRT power consumption. The whole process of starting, acceleration, coasting and stopping are realistically concerned for the simulation of MRT operation. In this thesis, the DC system is composed of a 12 pulse rectifying transformer, a conductor rail, motor-driven induction drive control, VVVF inverter, and a 3-phase motor-driven induction electric power model. The performance for single train can be obtained very efficiently with the rate curves. To perform the MRT power system simulation, an AC/DC load flow analysis has been developed with Matlab. The power system model of an simulation for Taipei MRT system has been created, the AC/DC load flow analysis is executed to analyze the effects of traction substation, voltage fluctuation, and various load under the dynamic operation for multiple trains. The efficiency of proposed methodology to solve the optimal MRT operation is verified by comparing to the results of Train Performance Simulator (TPS), which has been used by Taipei MRT project. It is suggested that the proposed rigid modeling of propulsion driving system can enhance the accuracy of system simulation and provide the tool to achieve better planing of MRT operation.