Parameter Optimization of Power System Stabilizer via Salp Swarm Algorithm

被引：0
|
作者：
Ekinci, Serdar [1 ]
Hekimoglu, Baran [2 ]
机构：
[1] Batman Univ, Dept Comp Engn, Batman, Turkey
[2] Batman Univ, Dept Elect & Elect Engn, Batman, Turkey
来源：
2018 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONIC ENGINEERING (ICEEE) | 2018年
关键词：
biogeography-based optimization; power system stabilizer; salp swarm algorithm; tabu search; parameter optimization; ROBUST DESIGN;
D O I：
暂无
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：
A novel application of a very recent heuristic-based method, namely Salp Swarm Algorithm (SSA) is presented here for tuning of power system stabilizer (PSS) in a multimachine power system. The tuning problem of PSS parameters is expressed as an optimization problem and the SSA method is utilized for searching the optimal parameters. The efficacy of the SSA-based PSS design was successfully tested on a well-known 3-machine, 9-bus power system. The results are comparatively evaluated with the other results obtained by the Tabu Search (TS) and the Biogeography-Based Optimization (BBO) methods. From the eigenvalue analysis and nonlinear simulation results it is confirmed that for damping oscillations, the performance of the proposed SSA approach in this study is better than that obtained by other intelligent techniques (TS and BBO).
引用
收藏
页码：143 / 147
页数：5
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