FACTS location using genetic algorithm to increase energy efficiency in distribution networks

Author

Pezzini, Paola ; Gomis-Bellmunt, Oriol ; Gonzalez-de-Miguel, Carlos ; Junyent-Ferré, Adrià ; Sudria-Andreu, Antoni

Author_Institution

Dept. d´´Eng. Electr., Univ. Politec. de Catalunya, Barcelona, Spain

fYear

2009

Firstpage

1

Lastpage

8

Abstract

The article presents a genetic algorithm (GA) application to find the best location and reactive power injection of a FACTS device in a power system. The GA is employed to increase the energy efficiency of the system, considering that only the best individuals of a population are selected to create new possible solutions and these are meant to improve the energy efficiency of the system; the node and the reactive power values are considered as the elements needed to maximize the fitness function. Simulations are performed on a 33 bus test power system employing two different Matlab programs to run the power flow and the location of the device. The power flow program performs a voltage limits check. Results show the evolution and the increase of the energy efficiency in the system.

Keywords

distribution networks; flexible AC transmission systems; genetic algorithms; reactive power; FACTS location; distribution networks; energy efficiency; genetic algorithm; power flow; reactive power; Artificial neural networks; Energy efficiency; Evolution (biology); Genetic algorithms; Load flow; Particle swarm optimization; Power system restoration; Power systems; Reactive power; Uniform resource locators; Distribution Networks; Energy Efficiency; FACTS Devices; Genetic Algorithm; Optimal Location;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Applications, 2009. EPE '09. 13th European Conference on

Conference_Location

Barcelona

Print_ISBN

978-1-4244-4432-8

Electronic_ISBN

978-90-75815-13-9

Type

conf

Filename

5279283