TY  - JOUR
TT  - Genetik Algoritma Kullanılarak Hibrit Yenilenebilir Enerji Kaynaklarının Maliyet Minimizasyonu
AU  - Karabacak, Kerim
AU  - Telli, Ali
PY  - 2017
DA  - December
JF  - Yalvaç Akademi Dergisi
JO  - YADE
PB  - Isparta University of Applied Sciences
WT  - DergiPark
SN  - 2548-0820
SP  - 41
EP  - 54
VL  - 2
IS  - 2
KW  - Hibrit yenilenebilir enerji sistemi
KW  - yenilenebilir enerji
KW  - genetik algoritma
KW  - maliyet minimizasyonu
KW  - optimizasyon
N2  - Özet 1 :Bu yazıda güneş panelelleri,rüzgâr jeneratörü ve batarya içeren bir hibrit yenilenebilir enerji sistemiönerilmiştir. Bütün sistemin maliyet fonksiyonları belirlenmiştir. Heryenilenebilir enerji modülü (fotovoltaik, rüzgâr jeneratörü, akü) içingüç-maliyet ilişkileri gösterilmiştir. Önerilen yenilenebilir enerji sisteminintoplam maliyetini en aza indirmek için genetik algoritma kullanılır. Genetikalgoritma için hesaplamaları basitleştirmek için maliyet katsayısı tanımlarıyapılmıştır. Geleneksel hesaplama algoritmalarının yanı sıra, hesaplama zamanıve hesaplama çabasını azaltmak için genetik algoritmanın olasılık yaklaşımıkullanılmıştır. Sonuç olarak; genetik algoritma, yenilenebilir enerji maliyetoptimizasyonu problemlerinde hesaplama çabasını azalttığından, gelenekselhesaplama algoritmalarından daha uygun olduğu gösterilmiştir.Özet 2 :In this paper, a hybrid renewableenergy system is proposed which includes PV, wind generator and batteries. Cost functions of whole system isdetermined. Power-cost relations foreach renewable energy module (PV, wind generator, battery) are inspected. Genetic algorithm is used to minimize thetotal cost of proposed renewable energy system. For genetic algorithm, costcoefficient definitions are made for simplifying calculations. Besideconventional search algorithms, genetic algorithm’s probabilistic approach isused for reducing calculation time and computation effort. In results, it isshown that genetic algorithm is more suitable than conventional searchalgorithms for reducing computation effort for renewable energy costoptimization problems.
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UR  - https://dergipark.org.tr/en/pub/yalvac/issue//348781
L1  - https://dergipark.org.tr/en/download/article-file/395079
ER  -