Enhancing the electrical performance of a solid oxide fuel cell using multiobjective genetic algorithms

被引：15

作者：

Jurado, F ^{[1
]}

Valverde, M ^{[1
]}

机构：

[1] Univ Jaen, Dept Elect Engn, EPS Linares 23700, Jaen, Spain

来源：

RENEWABLE ENERGY | 2005年 / 30卷 / 06期

关键词：

distributed generation; fuel cells; pulse width modulated inverters;

D O I：

10.1016/j.renene.2004.08.003

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Several technologies are being used in distributed generation applications with variable degree of success. Among those are: wind turbines, small-scale hydropower plants. biomass, microturbines. photovoltaic arrays, and fuel cells. A fuel cell is a device that converts the chemical energy of fuel to electric energy. New improvements in the fuel cell technology significantly meliorated the technical characteristics of this technology. Environmental friendliness, practically noise free operation, and very high efficiency make fuel cells a challenger on the future electricity markets. The connection between the fuel cell and the load is through an inverter using Pulse Width Modulation. Subsequently, the fuel cell produces a significant amount of harmonics. This paper describes the use of multiobjective genetic algorithms in the design of a fuzzy logic control system for a solid oxide fuel cell. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：881 / 902

页数：22

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