Optimal Design Of Power Supply Systems Using
Genetic Algorithms
Author(s)
J. R. Jimenez-Octavio & E. Pilo
Abstract
This paper presents an optimization model based on genetic algorithms for
designing traction power supply systems. The proposed model is suitable both
for planning new lines and for expanding the old ones, resulting in a more
efficient operation as well as in lower investment costs. Minimization of fixed
installation represents the optimization criterion for searching innovative designs
that fulfil certain technical constraints: maximum voltage drops and maximum
power consumption in the substations. The variables involved in the optimization
problem are: number, type and location of railway overhead lines; and number,
size and location of traction substations. Finally, the evaluation of possible
designs involves simplified electrical modelling of the studied railway stretch.
Thus, electrical simulations and calculations have been also adapted for their
implementation in the genetic algorithm. A section of the Madrid-Barcelona
high-speed line has been considered as a study case in order to analyze the
performance of the proposed model. Results reveal the suitability of the new
designs obtained with the presented model and its goodness and robustness.
Keywords: railway, power supply system, optimization, genetic algorithms.
1 Introduction
The design of the electrification is a complex task that involves different
interdisciplinary analysis. Normally, the design process is done iteratively by
refining candidate designs based on its estimated performance. In this process
simulation tools are crucial to evaluate the performance in many different
situations. However, they do not usually include criteria to modify candidate
designs in order to obtain the final solution. Thus, the designer has to decide the
Keywords
railway, power supply system, optimization, genetic algorithms.
Related Book
Other papers in this volume
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