Particle swarm optimization based sliding mode control of variable speed wind energy conversion system

被引：24

作者：

Soufi, Youcef ^{[1
]}

Kahla, Sami ^{[2
]}

Bechouat, Mohcene ^{[2
]}

机构：

[1] Univ Larbi Tebessi, Dept Elect Engn, Labget Lab, Tebessa, Algeria

[2] Univ 8 May 1945, Telecommun Lab, Guelma, Algeria

来源：

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2016年 / 41卷 / 45期

关键词：

Squirrel cage induction generator (SCIG); Wind energy conversion system (WECS); Sliding mode control (SMC); Particle swarm optimization (PSO);

D O I：

10.1016/j.ijhydene.2016.05.142

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

This paper proposes a particle swarm optimization based sliding mode control of squirrel cage induction generator of a variable speed wind energy conversion system. The key feature of sliding mode control is a wisely chosen sliding surface which allows the turbine to operate more or less close to the optimal regimes characteristic. Optimal control parameters which are the convergence speed to the sliding-mode, the slope of the surface and the switching component amplitude of SMC are determined using particle swarm optimization approach. The simulation results prove the viability of the proposed control structure. (C) 2016 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

引用

页码：20956 / 20963

页数：8

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