Multi-machine Fuzzy Logic Excitation and Governor Stabilizers Design Using Genetic Algorithms

被引：0
作者：
Mayouf , F. [1 ]
Djahli, F. [2 ]
Mayouf, A. [3 ]
Devers, T. [4 ]
机构：
[1] Univ Setif 1, Dept Elect Engn, Setif, Algeria
[2] Univ Setif 1, Dept Elect, Setif, Algeria
[3] Univ Djelfa, DIMMER Lab, Djelfa, Algeria
[4] Univ Orleans, CRMD, F-4229 Orleans, France
来源：
2013 13TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC) | 2013年
关键词：
Fuzzy logic controller; excitation control; Governor control; genetic algorithms; POWER-SYSTEM STABILIZERS;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In this paper, we have extended to the multimachine case our developed control model for SMIB stability improvement previously published. This model implements the fuzzy stabilizer in excitation and/or in turbine Governor systems (FLCE, FLCG and FLCEG). The optimal adjustment of the fuzzy logic controllers using genetic algorithm is carried out. Results obtained by nonlinear simulation using Matlab/Simulink of a multimachine system show the effectiveness of using both fuzzy controllers to exciter (FLCE) and to governor (FLCG) at the same time (FLCEG) for large and small disturbances.
引用
收藏
页码：336 / 341
页数：6
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