Multi-area economic dispatch using Hybrid Cuckoo search algorithm

Khai Phuc Nguyen, Nguyen Duy Dinh, Goro Fujita

研究成果: Conference contribution

9 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 of the Universities Power Engineering Conference
出版社IEEE Computer Society
2015-November
ISBN(印刷版)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

Other

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

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

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