Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing
Küçük Resim Yok
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, we perform Simulated Annealing (SA) algorithm for optimizing size of a PV/wind integrated hybrid energy system with battery storage. The proposed methodology is a heuristic approach which uses a stochastic gradient search for the global optimization. In the study, the objective function is the minimization of the hybrid energy system total cost. And the decision variables are PV size, wind turbine rotor swept area and the battery capacity. The optimum result obtained by SA algorithm is compared with our former study's result. Consequently, it is come up with that the SA algorithm gives better result than the Response Surface Methodology (RSM). The case study is realized for a campus area in Turkey. © 2009 Elsevier Ltd.
Açıklama
Anahtar Kelimeler
Hybrid energy, Optimization, Simulated annealing, Simulation
Kaynak
Applied Energy
WoS Q Değeri
Scopus Q Değeri
Q1
Cilt
87
Sayı
2
