Title :
Genetic Algorithm for enhancing the transmission capacity of a PES (Power Electric System) through flexible AC compensators
Author :
Arevalo, Fabian ; Cordova, Martin ; Quizhpi, Flavio ; Vivar, Magno
Author_Institution :
Dept. of Electr. Eng., Univ. Politec. Salesiana, Cuenca, Ecuador
Abstract :
This document presents the implementation of a Genetic Algorithm (GA) in Matlab software as it is complemented in Guide in order to visualize the GA through a graphic interface, which uses Flexible AC Transmission Systems (FACTS) aimed to enhance the transmission capacity of an Electric Power System, emulating the process of a living organism which afterwards will be evolutionary in order to find better solutions on the dilemma of optimization.
Keywords :
flexible AC transmission systems; genetic algorithms; FACTS; Matlab software; PES; electric power system; flexible AC compensators; flexible AC transmission systems; genetic algorithm; graphic interface; transmission capacity; Biological cells; Genetic algorithms; Next generation networking; Sociology; Static VAr compensators; Statistics; Vectors; FACTS; Genetic Algorithm;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4316-6
DOI :
10.1109/ICIEA.2014.6931179
