Power quality enhancement in fuel cells using genetic algorithms and ANFIS architecture

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. In this paper, an adaptive-network-based fuzzy inference system (ANFIS) is applied. The system uses genetic algorithm for tuning the parameters of the membership functions and the consequent parameter of each rule. Finally, the system is tested and verified in a prototype