 A novel formulation of carbon emissions costs for optimal design configuration of system transmission planningA. Sadegheih Renewable Energy, 2010, vol. 35, issue 5, 1091-1097 Abstract: This paper describes a methodology developed for designing an optimal configuration for system transmission planning with carbon emissions costs. The power transmission network planning problem is modeled by the mixed integer programming model, a GA, and SA. At this moment environmental issues have the most serious problem to be concerned within every part of the world. Global warming, which is mainly caused by the emissions of Green House Gases (GHGs), is said to be a serious part of these environmental problems. Since green house gases issues become important and the new legislations are taken into account, carbon emissions costs are included in the total costs of the transmission network planning. This method of solution is demonstrated on the real problem. Finally, the genetic algorithm shows to be a very good option for network planning systems given that it obtains much accentuated reductions of iteration, which is very important for network planning. Keywords: Carbon emissions; Genetic algorithm; Simulated annealing (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:35:y:2010:i:5:p:1091-1097 DOI: 10.1016/j.renene.2009.10.011 Access Statistics for this article Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides More articles in Renewable Energy from Elsevier |
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