DocumentCode
3699431
Title
Multi-area economic dispatch using Hybrid Cuckoo search algorithm
Author
Khai Phuc Nguyen; Nguyen Duy Dinh;Goro Fujita
Author_Institution
Shibaura Institute of Technology, Tokyo, Japan
fYear
2015
Firstpage
1
Lastpage
6
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.
Keywords
"Fuels","Generators","Cost function","Power generation","Economics","Search problems"
Publisher
ieee
Conference_Titel
Power Engineering Conference (UPEC), 2015 50th International Universities
Type
conf
DOI
10.1109/UPEC.2015.7339777
Filename
7339777
Link To Document