An Optimization Procedure to Determine the Topology of AC Railways Power Supply Networks

Abstract

This paper presents an optimization procedure to determine the topology of AC railways power supply networks: location and type of the substations, catenaries to be used, location of neutral zones and location of autotransformers in 2×25kV systems. In the proposed procedure, a mixed integer programming problem (MIP) is formulated in order to minimize the total construction cost associated to the power supply network while satisfying technical constraints to ensure proper behavior of power supply system. The performance of the proposed procedure is evaluated for a study case corresponding to a part of the new Madrid-Barcelona high-speed line and the obtained results are discussed.

Fast Estimation of Relations Between Aggregated Train Power System Data and Traffic Performance

“…The more sophisticated methods for designing the power supply in [24], [25] are followups to [23]. In [24], where substations are placed out and catenary setup is chosen to minimize the investment cost, a simplified DC model of an AC RPSS is used, using a set of operational scenarios where power consumption is assumed to be known instead of simulating all the train movements.…”

“…In [24], where substations are placed out and catenary setup is chosen to minimize the investment cost, a simplified DC model of an AC RPSS is used, using a set of operational scenarios where power consumption is assumed to be known instead of simulating all the train movements. Besides that, in [24], there are constraints for voltage levels, power transmission in lines, and capacities of substations. In [25], a genetic algorithm is presented for solving the problem presented in [24], the results are not far from optimal and the computation time is significantly decreased.…”

“…Besides that, in [24], there are constraints for voltage levels, power transmission in lines, and capacities of substations. In [25], a genetic algorithm is presented for solving the problem presented in [24], the results are not far from optimal and the computation time is significantly decreased.…”

Optimal design of power supply systems using genetic algorithms

“…Table 2 shows the considered catenary repository. It has been obtained by using the multi-criteria optimization procedure described in [3]. Table 3 shows the cost of installing a substation and the maximum power that could be delivered depending on the location.…”

“…Based in these models, a optimization procedure has been presented in [2] to select the most efficient centenary and autotransformer combinations. The results of this optimization can be used as an input for the optimization of the power-supply system presented in [3], which formulates a mixed integer programming (MIP) optimization problem. This procedure is suitable for small-medium network sizes (up to 200-250 km), but for bigger problems computation times are too long.…”