PSO and genetic algorithms applied to a distributed generation problem


Authors

DOI:

https://doi.org/10.22517/23447214.14301

Keywords:

Optimización con restricciones, Algoritmos Genéticos, PSO, Matlab, Generación

Abstract

In this report the results of the application of genetic
algorithms and PSO (Particle Swarm Optimization) are
presented to optimize a problem of distributed generation (DG)
of power that must meet certain restrictions. For the
implementation of the genetic algorithm toolbox of Matlab it is
used and implemented fraction varying parameters such as
mutation, population etc. This for comparison with the function
fmincon already implemented within the Matlab environment
and draw conclusions regarding convergence and error rate
between data. The PSO algorithm was implemented taking into
account stochastic processes based on luck, defining him intrinsic
properties, such as population size, inertia factor etc.

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Author Biography

Edgar Dario Obando Paredes, Universidad Cooperativa de Colombia

Ingeniero Físico de la Universidad del Cauca, desarrollo su trabajo de grado en Energía Solar, conceptualizando y aplicando los fundamentos físicos de la misma para su aplicación en el departamento del Cauca. Ha desarrollado cursos de Energia solar en la Universidad Tecnologica de Delft en Holanda.

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Published

2017-03-30

How to Cite

Obando Paredes, E. D. (2017). PSO and genetic algorithms applied to a distributed generation problem. Scientia Et Technica, 22(1), 15–23. https://doi.org/10.22517/23447214.14301

Issue

Vol. 22 No. 1 (2017)

Section

Eléctrica

License

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