Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya

Abdurazaq Elbaz; Muhammet Tahir Guneser

doi:10.1109/ISMSIT.2019.8932754

Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya

Abdurazaq Elbaz
, Muhammet Tahir Guneser

Karabuk University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

6 Atıf (Scopus)

Özet

To design an efficient, sustainable and feasible hybrid system sizing optimization should be applied. In this study, a hybrid power plant, which consists of an off-grid PV and wind energy system to supply the demand of solar energy research center in Libya, was designed. Crow search technique was applied to decrease the installation cost and operating cost by sizing each part of hybrid system. We optimized the number of PV modules, powers of wind turbines and capacities batteries. After offering the design of hybrid system, we compared performance of crow algorithm with particle swarm optimization algorithm performance. Regarding the comparison, crow algorithm results sign a better performance for sizing a lower cost hybrid power plant consists of PV and wind systems.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781728137896
DOI'lar	https://doi.org/10.1109/ISMSIT.2019.8932754
Yayın durumu	Yayınlandı - Eki 2019
Harici olarak yayınlandı	Evet
Etkinlik	3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Ankara, Türkiye Süre: 11 Eki 2019 → 13 Eki 2019

Yayın serisi

Adı	3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019
Ülke/Bölge	Türkiye
Şehir	Ankara
Periyot	11/10/19 → 13/10/19

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Publisher Copyright:
© 2019 IEEE.

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Belgeye Erişim

10.1109/ISMSIT.2019.8932754

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Link to publication in Scopus

Alıntı Yap

Elbaz, A., & Guneser, M. T. (2019). Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya. In 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings Makale 8932754 (3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISMSIT.2019.8932754

Elbaz, Abdurazaq ; Guneser, Muhammet Tahir. / Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya. 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings).

@inproceedings{3bfaf9bbdcd34e83b47c863205c19e5e,

title = "Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya",

abstract = "To design an efficient, sustainable and feasible hybrid system sizing optimization should be applied. In this study, a hybrid power plant, which consists of an off-grid PV and wind energy system to supply the demand of solar energy research center in Libya, was designed. Crow search technique was applied to decrease the installation cost and operating cost by sizing each part of hybrid system. We optimized the number of PV modules, powers of wind turbines and capacities batteries. After offering the design of hybrid system, we compared performance of crow algorithm with particle swarm optimization algorithm performance. Regarding the comparison, crow algorithm results sign a better performance for sizing a lower cost hybrid power plant consists of PV and wind systems.",

keywords = "Crow Algorithm, Wind energy, hybrid system, off-grid PV",

author = "Abdurazaq Elbaz and Guneser, \{Muhammet Tahir\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 ; Conference date: 11-10-2019 Through 13-10-2019",

year = "2019",

month = oct,

doi = "10.1109/ISMSIT.2019.8932754",

language = "English",

series = "3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings",

address = "United States",

}

Elbaz, A & Guneser, MT 2019, Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya. in 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings., 8932754, 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019, Ankara, Türkiye, 11/10/19. https://doi.org/10.1109/ISMSIT.2019.8932754

Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya. / Elbaz, Abdurazaq; Guneser, Muhammet Tahir.
3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8932754 (3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya

AU - Elbaz, Abdurazaq

AU - Guneser, Muhammet Tahir

PY - 2019/10

Y1 - 2019/10

N2 - To design an efficient, sustainable and feasible hybrid system sizing optimization should be applied. In this study, a hybrid power plant, which consists of an off-grid PV and wind energy system to supply the demand of solar energy research center in Libya, was designed. Crow search technique was applied to decrease the installation cost and operating cost by sizing each part of hybrid system. We optimized the number of PV modules, powers of wind turbines and capacities batteries. After offering the design of hybrid system, we compared performance of crow algorithm with particle swarm optimization algorithm performance. Regarding the comparison, crow algorithm results sign a better performance for sizing a lower cost hybrid power plant consists of PV and wind systems.

AB - To design an efficient, sustainable and feasible hybrid system sizing optimization should be applied. In this study, a hybrid power plant, which consists of an off-grid PV and wind energy system to supply the demand of solar energy research center in Libya, was designed. Crow search technique was applied to decrease the installation cost and operating cost by sizing each part of hybrid system. We optimized the number of PV modules, powers of wind turbines and capacities batteries. After offering the design of hybrid system, we compared performance of crow algorithm with particle swarm optimization algorithm performance. Regarding the comparison, crow algorithm results sign a better performance for sizing a lower cost hybrid power plant consists of PV and wind systems.

KW - Crow Algorithm

KW - Wind energy

KW - hybrid system

KW - off-grid PV

UR - https://www.scopus.com/pages/publications/85077994387

U2 - 10.1109/ISMSIT.2019.8932754

DO - 10.1109/ISMSIT.2019.8932754

M3 - Conference contribution

AN - SCOPUS:85077994387

T3 - 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings

BT - 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019

Y2 - 11 October 2019 through 13 October 2019

ER -

Elbaz A, Guneser MT. Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya. In 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8932754. (3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings). doi: 10.1109/ISMSIT.2019.8932754

Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya

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