Minimization of operational cost for an off-grid renewable hybrid system to generate electricity in residential buildings through the SVM and the BCGA methods
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Dosyalar
Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Sa
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Recently Turkey's electricity demand has shown a considerable increase due to its population and economic growths. It is understandable that this may be very influential on electricity price on market as well as other factors such as an increase in natural gas price, etc. It should be noted that the half of Turkey's electricity generation is supplied from natural gas and 95% of this source is imported from other countries. However, Turkey is rich in wind and solar energy potentials to generate electricity and it is believed that this makes a considerable impact on reducing high electricity unit cost to competitive one. In this regard, these potentials can be utilized for electricity generation in order to meet a significant portion of the power demanded by residential houses through a PV/wind system. The electricity cost of the renewable system can be minimized by optimally scheduling generated and consumed powers. In this paper, optimal power scheduling in such systems is carried out by using the BCGA and the SVM methods. The results indicated that the proposed approach was able to minimize the operation cost in the hybrid system through the optimal power scheduling. (c) 2014 Elsevier B.V. All rights reserved.
Açıklama
WOS: 000336779000047
Anahtar Kelimeler
Genetic algorithms, Renewable systems, Optimal power scheduling, Support vector machines
Kaynak
Energy And Buildings
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
76
