Multi-area economic dispatch using Hybrid Cuckoo search algorithm

Khai Phuc Nguyen, Nguyen Duy Dinh, Goro Fujita

研究成果: Conference contribution

5 引用 (Scopus)

抜粋

This paper proposes a Hybrid Cuckoo search algorithm to solve Multi-area economic dispatch problem (MAED). Hybrid Cuckoo search algorithm is a combination of the Cuckoo search algorithm and Teaching-learning-based optimization, where the learner phase of TLBO is added to improve performance of Cuckoo eggs. The proposed method has been applied for solving three tested cases of Multi-area economic dispatch problem. The objective of this problem is to minimize a total generation cost while satisfying generator operational constraints and tie- line constraints. The proposed method has been compared with the conventional Cuckoo search algorithm and Teaching-learning-based optimization to obtain its effectiveness. Numerical results show that the proposed method gives better solutions than two compared methods with high performance.

元の言語English
ホスト出版物のタイトルProceedings of the Universities Power Engineering Conference
出版者IEEE Computer Society
2015-November
ISBN(印刷物)9781467396820
DOI
出版物ステータスPublished - 2015 11 30
イベント50th International Universities Power Engineering Conference, UPEC 2015 - Stoke-on-Trent, United Kingdom
継続期間: 2015 9 12015 9 4

Other

Other50th International Universities Power Engineering Conference, UPEC 2015
United Kingdom
Stoke-on-Trent
期間15/9/115/9/4

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

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  • これを引用

    Nguyen, K. P., Dinh, N. D., & Fujita, G. (2015). Multi-area economic dispatch using Hybrid Cuckoo search algorithm. : Proceedings of the Universities Power Engineering Conference (巻 2015-November). [7339777] IEEE Computer Society. https://doi.org/10.1109/UPEC.2015.7339777