Design and experimental investigation of a decentralized GA-optimized neuro-fuzzy power system stabilizer

被引：57
|
作者：
Talaat, Hossam E. A. [1 ]
Abdennour, Adel [1 ]
Al-Sulaiman, Abdulaziz A. [1 ]
机构：
[1] King Saud Univ, Dept Elect Engn, Coll Engn, Riyadh 11421, Saudi Arabia
来源：
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2010年 / 32卷 / 07期
关键词：
Decentralized control; Neuro-fuzzy control; Genetic Algorithms; Power system stabilizer; Multi-machine lab model; LOGIC; NETWORK;
D O I：
10.1016/j.ijepes.2010.01.011
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The aim of this research is the design and implementation of a decentralized power system stabilizer (PSS) capable of performing well for a wide range of variations in system parameters and/or loading conditions. The framework of the design is based on Fuzzy Logic Control (FLC). In particular, the neuro-fuzzy control rules are derived from training three classical PSSs; each is tuned using GA so as to perform optimally at one operating point. The effectiveness and robustness of the designed stabilizer, after implementing it to the laboratory model, is investigated. The results of real-time implementation prove that the proposed PSS offers a superior performance in comparison with the conventional stabilizer. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：751 / 759
页数：9
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