Title :
Using genetic algorithm and single-phase multilevel DC/AC converter for the fuel cells supporting system
Author :
Ten, Viktor ; Matkarimov, B. ; Isembergenov, N.
Author_Institution :
Res. & Innovation Syst., Nazarbayev Univ., Astana, Kazakhstan
Abstract :
Design of fuel cells supporting system for power autonomous systems and microgrids is proposed. The technique is based on the approach of multilevel single-phase DC/AC converter. Designed system includes fuel cells stack, 5-level single-phase DC/AC converter based on half-bridge structural elements to generate upper levels. Control system is designed and developed using PIC18 microcontroller. To find the switching angles with minimized THD for output voltage of the converter the genetic algorithm approach is applied and simulated.
Keywords :
DC-AC power convertors; distributed power generation; fuel cells; genetic algorithms; harmonic distortion; microcontrollers; PIC18 microcontroller; THD; fuel cells; genetic algorithm; half-bridge structural elements; microgrids; power autonomous systems; single-phase multilevel DC/AC converter; Fuel cells; Genetic algorithms; Harmonic analysis; Optimization; Power electronics; Switches; Fuel cells; Genetic algorithm; Multilevel power converter;
Conference_Titel :
Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International
Conference_Location :
Antalya
DOI :
10.1109/EPEPEMC.2014.6980560
