Multiobjective Bees Algorithm with clustering technique for environmental/economic dispatch

Author

Leeprechanon, N. ; Polratanasak, P.

Author_Institution

Dept. of Electr. & Comput. Eng., Thammasart Univ., Pathumthani, Thailand

fYear

2010

fDate

19-21 May 2010

Firstpage

621

Lastpage

625

Abstract

This paper presents the solution of environmental/economic dispatch (EED) problem by using a multiobjective bees algorithm (MBA) with clustering technique. EED problem is to minimize simultaneously the total fuel cost and environmental pollution of generation while satisfying various constrains. The MBA is modified from Bees Algorithm in order to solve EED problem through compromised fuzzy and clustering techniques. The IEEE 30 Bus system was selected for testing purpose. The results show that the proposed method has effectiveness and potential for solving EED problem.

Keywords

global warming; optimisation; power generation dispatch; power generation economics; IEEE 30 bus system; clustering technique; compromised fuzzy technique; environmental-economic dispatch; global warming; multiobjective bees algorithm; Character generation; Clustering algorithms; Cost function; Environmental economics; Environmentally friendly manufacturing techniques; Evolutionary computation; Fuel economy; Industrial pollution; Power generation; Power generation economics;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics Computer Telecommunications and Information Technology (ECTI-CON), 2010 International Conference on

Conference_Location

Chaing Mai

Print_ISBN

978-1-4244-5606-2

Electronic_ISBN

978-1-4244-5607-9

Type

conf

Filename

5491411