Fuzzy neural control of a hybrid fuel cell/battery distributed power generation system

被引：51
|
作者：
Hajizadeh, A. [1 ]
Golkar, M. A. [1 ]
机构：
[1] KN Toosi Univ Technol, Dept Elect Engn, Tehran, Iran
来源：
IET RENEWABLE POWER GENERATION | 2009年 / 3卷 / 04期
关键词：
SIMULATION; STRATEGY; DESIGN;
D O I：
10.1049/iet-rpg.2008.0027
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
An innovative control strategy is proposed of hybrid distributed generation (HDG) systems, including solid oxide fuel cell (SOFC) as the main energy source and battery energy storage as the auxiliary power source. The overall configuration of the HDG system is given, and dynamic models for the SOFC power plant, battery bank and its power electronic interfacing are briefly described, and controller design methodologies for the power conditioning units and fuel cell to control the power flow from the hybrid power plant to the utility grid are presented. To distribute the power between power sources, the fuzzy switching controller has been developed. Then, a Lyapunov based-neuro fuzzy algorithm is presented for designing the controllers of fuel cell power plant, DC/DC and DC/AC converters; to regulate the input fuel flow and meet a desirable output power demand. Simulation results are given to show the overall system performance including load-following and power management of the system.
引用
收藏
页码：402 / 414
页数：13
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