Intelligent robust control of hybrid distributed generation system under voltage sag

被引：12

作者：

Hajizadeh, Amin ^{[1
]}

Golkar, Masoud Aliakbar ^{[2
]}

机构：

[1] Shahrood Univ Technol, Elect & Robot Engn Dept, Shahrood, Iran

[2] KN Toosi Univ Technol, Dept Elect Engn, Tehran, Iran

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2010年 / 37卷 / 12期

关键词：

Energy storage; Fuel cell; Hybrid distributed generation; Fuzzy sliding control; Lyapanov; Neuro-fuzzy; Voltage sag; POWER; CONVERTER; STRATEGY; PLANT;

D O I：

10.1016/j.eswa.2010.04.080

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, design of control strategy for hybrid fuel cell/energy storage distributed power generation system during voltage sag has been presented. The proposed control strategy allows hybrid distributed generation system works properly when a voltage disturbance occurs in distribution system and hybrid system stays connected to the main grid. To distribute the power between power sources, a Lyapanov based neuro-fuzzy control strategy has been developed during voltage disturbances. Then, a fuzzy sliding-mode control strategy is presented for designing the controllers DC/DC and DC/AC converters. Simulation results are given to show the overall system performance including active power control and voltage sag ride-through capability of the hybrid distributed generation system. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：7627 / 7638

页数：12

共 16 条

[1]

[Anonymous], P IEEE INT C FUZZ SY

[2]

[Anonymous], P 36 IAS ANN M IEEE

[3]

Bollen M.H., 1999, UNDERSTANDING POWER

[4] Comparison of commercial supercapacitors and high-power lithium-ion batteries for power-assist applications in hybrid electric vehicles I. Initial characterization [J].