A novel chaotic teaching-learning-based optimization algorithm for multi-machine power system stabilizers design problem
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- 作者：Anouar Farah ; farah.anouar@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Tawfik Guesmi ; Hsan Hadj Abdallah ; Abderrazak Ouali
- 关键词：Chaotic teaching learning ; Dynamic stability ; Low-frequency oscillation ; Power system stabilizer
- 刊名：International Journal of Electrical Power & Energy Systems
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：77
- 期：Complete
- 页码：197-209
- 全文大小：2561 K
文摘
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A novel algorithm for tuning power system stabilizers (PSS) is developed.
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The performance of the chaotic teaching learning algorithm (CTLA) was investigated by using a set of benchmark functions.
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The problem design is formulated as an optimization problem.
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The CTLA is employed to search for optimal PSS parameters.
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Simulations results demonstrated the effectiveness of the proposed algorithm in power systems.