DocumentCode
2097062
Title
Hybrid metaheuristic for the combined economic-emission dispatch problem
Author
Gherbi, Yamina Ahlem ; Bouzeboudja, Hamid ; Lakdja, Fatiha
Author_Institution
Durable development of electrical energy laboratory, IEEE member Electro technical Department, Faculty of Electrical Engineering, USTO Oran, Algeria
fYear
2015
fDate
28-30 April 2015
Firstpage
1
Lastpage
7
Abstract
The combined economic-emission dispatch procedure in electric power systems treat economic and emission impact as competing objectives, which requires some form of conflict resolution to achieve a solution, that´s why we need efficient optimization algorithms. Firefly algorithm and bat algorithm are the most recent methods and they already proved there efficient in several fields of research. In this paper, we will evaluate the performance of these methods by applying them to a standard electric network of 5 buses with 3 buses generator, and then we will propose a third approach that results from the hybridization of these two metaheuristics.
Keywords
Algorithm design and analysis; Economics; Linear programming; Optimization; Production; Sociology; Statistics; Economic-environmental dispatch; Multi-objective optimization; bat algorithm and hybrid algorithm; firefly algorithm; metaheuristic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Programming and Systems (ISPS), 2015 12th International Symposium on
Conference_Location
Algiers, Algeria
Type
conf
DOI
10.1109/ISPS.2015.7244987
Filename
7244987
Link To Document