Authors:
Jesus Carretero
;
Silvina Caino
;
Felix Garcia-Carballeira
and
Alberto Garcia
Affiliation:
Computer Architecture Group and University Carlos III of Madrid, Spain
Keyword(s):
Railway Simulator, Power Dimensioning, Ontology, Multi-Objective Optimisation, Cloud Computing
Related
Ontology
Subjects/Areas/Topics:
Application Domains
;
Case Studies
;
Computer Simulation Techniques
;
Databases and Information Systems Integration
;
Domain-Specific Tools
;
Energy and Power Systems
;
Enterprise Information Systems
;
Enterprise Resource Planning
;
Enterprise Software Technologies
;
Health Engineering and Technology Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Software Engineering
Abstract:
Power dimensioning and energy saving have been traditionally two main issues regarding the deployment of
electric grids. Electric railways are also concerned about these issues, and simulators have been traditionally
used to test such infrastructure deployments. The main goal of this paper is to present the Railway electric
Power Consumption Simulator, a simulation model and tool for the railway energy provisioning problem. This
simulator aims to propose electric railway infrastructure deployments, optimizing the quality of the electric
flow supplied to train, as well as saving as much energy as possible. The paper describes the simulator
structure, as well as the ontology used to translate railway infrastructure elements into an electric circuit.
Because these two objectives are conflicting, a multi-objective optimization problem is formulated and solved.
Finally, a standard railway scenario is used to illustrate the capabilities of the tool, trying to find the best
electri
c substation placements in order to optimize such objectives. The evaluation shows how the tool can
handle hundreds of simulated scenarios using Cloud Computing techniques.
(More)