Title :
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
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;
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
