Title :
A genetic fuzzy approach for the inverter of solid oxide fuel cell plants
Author :
Jurado, F. ; Valverde, M. ; Carpio, J.
Author_Institution :
Dept. of Electr. Eng., Univ. of Jaen, Linares, Spain
Abstract :
Solid oxide fuel cell system has exceptional potential for electric power generation. For the design of a large capacity inverter, inverter loss reduction and harmonic reduction have been important considerations. This paper presents the design of a new fuzzy logic regulator for a three-phase inverter using the strategy of inverter flux vector control method. The scaling factors of the fuzzy controller are tuned via a genetic algorithm approach.
Keywords :
fuel cell power plants; fuzzy control; genetic algorithms; harmonics suppression; invertors; losses; power generation control; solid oxide fuel cells; electric power generation; flux vector control; fuzzy logic regulator; genetic algorithm; harmonic reduction; inverter loss reduction; scaling factor; solid oxide fuel cell plant; three-phase inverter; Control systems; Fuel cells; Fuzzy control; Fuzzy systems; Genetics; Machine vector control; Power generation; Power system harmonics; Pulse width modulation inverters; Solids;
Conference_Titel :
Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
Print_ISBN :
0-7803-8730-9
DOI :
10.1109/IECON.2004.1432227
