Multi-area economic dispatch using Hybrid Cuckoo search algorithm

Khai Phuc Nguyen, Nguyen Duy Dinh, Goro Fujita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the Universities Power Engineering Conference
PublisherIEEE Computer Society
Volume2015-November
ISBN (Print)9781467396820
DOIs
Publication statusPublished - 2015 Nov 30
Event50th International Universities Power Engineering Conference, UPEC 2015 - Stoke-on-Trent, United Kingdom
Duration: 2015 Sep 12015 Sep 4

Other

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

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Keywords

  • Cuckoo Search Algorithm
  • Multi-area economic dispatch
  • Teaching-learning-based optimization
  • tie-line constraint

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

Cite this

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