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

10 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 - 2015 50th International Universities Power Engineering Conference, UPEC 2015
PublisherIEEE Computer Society
ISBN (Electronic)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

Publication series

NameProceedings of the Universities Power Engineering Conference
Volume2015-November

Other

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

Keywords

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

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

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