Optimization of a Hybrid Coordinated Power System Stabilizer for superconducting Generator Using Genetic Algorithm

被引：0
|
作者：
Mayouf , F. [1 ,3 ]
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, Dept Ind Engn & Maintenance, F-45067 Orleans, France
来源：
2015 IEEE 15TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (IEEE EEEIC 2015) | 2015年
关键词：
Coordinated stabilizer; fuzzy stabilizer; superconducting generator; SMIB power system; genetic algorithm; DESIGN; ENHANCEMENT;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, the optimal tuning of a hybrid coordinated stabilizer for a superconducting generator is carried out using genetic algorithm (GA). Parameters of this hybrid stabilizer (HEGPSS), which is based on a simultaneous implementation of conventional fixed (EGPSS) and fuzzy logic (FLCEG) stabilizers in both exciter and governor systems, are adjusted using GA. The proposed approach is applied to optimize time constants and scaling factors of conventional and fuzzy coordinated stabilizers. Obtained results of a SMIB power system demonstrate the effectiveness of the proposed genetic hybrid stabilizer (GA-HEGPSS) to damp oscillations for large and small disturbances. To show its superiority, the system performance with the proposed stabilizer is compared with other stabilizers.
引用
收藏
页码：1193 / 1197
页数：5
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