Control de transformadores electrónicos usando técnicas de inteligencia computacional
Trabajo de grado - Pregrado
Universidad Autónoma de Occidente
In this project it worked a radial electric micro grid with 4 solid state transformers (SST) and 4 loads (1 for each SST) in simulink-matlab. This micro grid uses 3 alternative energy sources: hydraulic, eolic and solar photovoltaic; and 2 combustion: coal and combined cycle, with the need to control the SST to obtain the most economical combination of use of sources. Genetic algorithms were used to generate the necessary data to train 5 artificial neural networks (RNA) that are responsible for modify the setpoint of each SST one of these networks makes forecasts of the setpoints. The RNA managed to develop this task having errors when validating minors to 5% and meeting the requirements of the problem.
- Ingeniería mecatrónica 
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