Multi-area economic dispatch using Hybrid Cuckoo search algorithm

Khai Phuc Nguyen, Nguyen Duy Dinh, Goro Fujita

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2015 50th International Universities Power Engineering Conference, UPEC 2015
出版社IEEE Computer Society
ISBN(電子版)9781467396820
DOI
出版ステータス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

出版物シリーズ

名前Proceedings of the Universities Power Engineering Conference
2015-November

Other

Other50th International Universities Power Engineering Conference, UPEC 2015
国/地域United Kingdom
CityStoke-on-Trent
Period15/9/115/9/4

ASJC Scopus subject areas

  • エネルギー工学および電力技術

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