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 :
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