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:: Volume 10, Issue 41 (Summer-1393 2014) ::
QEER 2014, 10(41): 1-23 Back to browse issues page
The Use of Genetic Algorithm in Economic Optimization of Hybrid System to Electrify Distant Areas Iran
Ali morad Sharifi1 , Gholamhossin Kyani1 , Rahman Khosh aklagh1 , Mohammad reza Rezaee * 2
1- -
2- - , mrrezaee891@gmail.com
Abstract:   (7067 Views)

At the beginning of the 3rd AD millennium, industrially and economically fundamental changes have taken place in most developed and/or developing countries. Economically, concerning the perspective ahead of these communities, one of the most important issues occupying all of their authorities’ minds is energy provision. Meanwhile, optimization of energy systems and use of new energies as the replacement for fossil ones is deemed important. In this study hybrid system optimization was made using the genetic algorithm method, including the energies wind, sun, diesel, and battery. The results showed that in order to minimize the costs of using the hybrid system only the one containing photovoltaic and battery should be used due to high radiation potential.

Keywords: Genetic Algorithm, Hybrid System, Optimization, Solar Energy, Wind Energy
Full-Text [PDF 532 kb]   (3974 Downloads)    
Type of Study: Thesis(M.A.) | Subject: Energy Economic
Received: 2013/01/14 | Accepted: 2014/02/24 | Published: 2014/11/11 | ePublished: 2014/11/11
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sharifi A M, kyani G, khosh aklagh R, rezaee M R. The Use of Genetic Algorithm in Economic Optimization of Hybrid System to Electrify Distant Areas Iran . QEER 2014; 10 (41) :1-23
URL: http://iiesj.ir/article-1-73-en.html


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Volume 10, Issue 41 (Summer-1393 2014) Back to browse issues page
فصلنامه مطالعات اقتصاد انرژی Quarterly Energy Economics Review
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