Parameter optimization of power system stabilizer via Salp Swarm algorithm
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Dosyalar
Tarih
2018-06-21
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Attribution-NonCommercial-ShareAlike 3.0 United States
Attribution-NonCommercial-ShareAlike 3.0 United States
Özet
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 multi- machine 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).
Açıklama
Anahtar Kelimeler
Biogeography-Based Optimization, Parameter Optimization, Power System Stabilizer, Salp Swarm Algorithm, Tabu Search
Kaynak
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N/A
Scopus Q Değeri
N/A
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Sayı
Künye
Ekinci, S., Hekimoğlu, B. (2018). Parameter optimization of power system stabilizer via Salp Swarm algorithm. 2018 5th International Conference on Electrical and Electronic Engineering (ICEEE), 3-5 May 2018, Istanbul, Turkey. https://doi.org/10.1109/iceee2.2018.8391318
