DocumentCode
2366637
Title
Multi-objective Environmental/Economic Dispatch using firefly technique
Author
Abedinia, O. ; Amjady, Nima ; Naderi, M.S.
Author_Institution
Electr. Eng. Dept., Semnan Univ., Semnan, Iran
fYear
2012
fDate
18-25 May 2012
Firstpage
461
Lastpage
466
Abstract
This paper a Multi-objective Firefly Algorithm (MOFA) is proposed for Environmental/ Economic Power Dispatch (EED) problem. Due to the environmental concerns that arise from the emissions produced via fossil-fueled electric power plants, the classical economic dispatch, which operates electric power systems so as to minimize only the total fuel cost, can no longer be considered alone. Actually, EED problem is the scheduling of generators which fulfill the load demand of the power plants using fossil fuel and also making combined production, in order for them to perform with minimum cost and emission. Therefore, by EED, emissions can be reduced by dispatch of power generation to minimize emissions. Which is affect on power generated, system loads, fuel cost and emission coefficients in real-world situations. The MOFA technique has been carried out on the IEEE 30- and 118-bus test system. This technique is compared with other techniques which reveals the superiority of the proposed approach and confirms its potential for solving other power systems problems.
Keywords
IEEE standards; air pollution control; fossil fuels; power generation dispatch; power generation economics; thermal power stations; EED problem; IEEE 118-bus test system; IEEE 30-bus test system; MOFA; environmental-economic power generation dispatch problem; fossil-fueled electric power plant; generator scheduling; load demand; multiobjective firefly algorithm; total fuel cost minimization; Economics; Fires; Fuels; Generators; Optimization; Power systems; Propagation losses; EED; MOFA; Minimum cost and emission; Multi-objective problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
Conference_Location
Venice
Print_ISBN
978-1-4577-1830-4
Type
conf
DOI
10.1109/EEEIC.2012.6221422
Filename
6221422
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