Expert system using multi-objective optimization of the direct current railway power supply system

Abstract

Abstract. There are many different aspects to be analyzed when designing a railway infrastructure. The energy system, which withstands the demand for energy from operating trains, must consider many factors to create a functional infrastructure, in terms of demanded energy and cost sustainable. The methodology proposed gives a set of possible solutions to the designer or engineer. On the one hand, this method works with a multi-objective genetic algorithm (NSGA-II), with high time efficiency. The main target of this work is to obtain the best electrical configuration in terms of number and location of substations and characteristics of the overhead line system. On the other hand, best configurations must take into account things such as real railway operation, signalling system, infrastructure, costs linked with environment, maintenance, construction and connection with general electric network, losses of energy dissipated along the catenary. Hence, this methodology must combine all of these skills and integrate it with a railway configuration, modelling and simulation tool, Hamlet developed at CITEF (Research Centre on Railway Technologies by Technical University of Madrid, Spain). After using this methodology, designers will have a set of configurations in order to get the final choice of location of traction substations and type of overhead line system to achieve properly the power demand from trains in railway systems.

Smart Grid Technologies in Electric Power Supply Systems of Public Transport

“…The simulation of public transport supply system service was conducted using the Monte Carlo (Bartłomiejczyk, Połom 2017) method. The Monte Carlo method is based on the continuous repetition of a statistical experiment, which performs an analysis of the condition of the object using random input factors (Judek, Skibicki 2009;Hrbac et al 2015;Nicolau et al 2018;Kulesz 2005).…”

Improving power supply design for high speed lines and 2 × 25 systems using a genetic algorithm

“…Discretisation of the route along which the railway line is to be built is an important concept, because it allows distances to be addressed on a two-dimensional plane, and it also positions critical zones along the line. This is why the concept is one of the highlights of the methodology [22][23] [24].…”

“…The solution deployed in this methodology is related to the idea of Maximum Power demanded Peak [22][23] [24]. This concept works with a stationary status for the PSD, because it only relates to the study of the mechanical part of the operation.…”

“…The Hamlet simulator [22][23] [24] was developed by CITEF. The main objectives were to create a multidisciplinary simulator to adapt to complex railway lines and obtain a wide range of results.…”

“…The Convergence Method is explained in [24]. When a genotype is decoded and the power supply system it represents is known, the next phase is to validate its viability in electrical terms.…”