A Railway Power System Scenario Simulation tool based on Monte Carlo Analysis

This repository comprises two MATLAB classes: MONTE_CARLO.m and electric_model.m capable of snapshot simulation of a railway line. The implemented framework depends on MATPOWER for power flow solver.

Current Development Version

There are two options:

1. Clone the repository from GitHub.
2. Download a ZIP file of the repository from GitHub.

System Requirements

• MATLAB version 9.4 (R2018a) or later
• (older versions might not be compatible with the GUI)
• Statistics toolbox
• Parallelism toolbox

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Instalation

Installation and use of this framework requires familiarity with the basic operation of MATLAB or Octave.

1. The instalation only requires download of the repository.

Usage

The simplest way to run the framework is to use the GUI.

1. Open the matlab with the workspace in the cloned repository;
2. Open the file GUI_montecarlo.mlapp
3. This GUI is the main handler for the MONTE_CARLO.m and electric_model.m classes.

Alternativelly, the electric_model.m class can be used as following:

electric_model = electric_model;  %%% creates a new object
electric_model = electric_model.set_random_status('default');
electric_model = electric_model.update_electric_model_parameters('default');
electric_model = electric_model.reset_model();
electric_model = electric_model.generate_random_trains();
electric_model = electric_model.run_powerflow();
electric_model = electric_model.process_output();
electric_model = electric_model.attach_power_transfer_device();
electric_model = electric_model.tps_power_optimization();

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Documentation and Manuals

Under construction

Dependencies

This toolbox depends on the following third-party tools

• MATPOWER: Free, open-source tools for electric power system simulation and optimization https://matpower.org/
• ParforProgressbar: PARFOR progress monitor (progress bar) v4 https://www.mathworks.com/matlabcentral/fileexchange/71436-parfor-progress-monitor-progress-bar-v4
• PARFOR_PROGRESS: Progress monitor (progress bar) that works with parfor https://www.mathworks.com/matlabcentral/fileexchange/32101-progress-monitor-progress-bar-that-works-with-parfor

Citing framework

All publications derived from the use of this framework, or the included data files, should cite:

Morais, V. A.; and Martins, A. P. (2021) "Traction Power Substation Balance and Losses Estimation in AC Railways using a Power Transfer Device through Monte Carlo Analysis". In Railway Engineering Science (261)
doi: 10.1007/s40534-021-00261-y