Economic Dispatch of Multi-Microgrid Systems by Using Particle Swarm Optimization

Esra Aydin; Mikail Purlu; Belgin Emre Turkay

doi:10.23919/ELECO54474.2021.9677839

Economic Dispatch of Multi-Microgrid Systems by Using Particle Swarm Optimization

Elektrik Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

7 Atıf (Scopus)

Özet

This paper focuses on the economic dispatch (ED) problem of the multi-microgrid (MMG) system with renewable energy sources (RES). The ED problem provides an optimum cost schedule, considering the constraints of the system. In this study, ED has been solved by Particle Swarm Optimization (PSO) method, which is one of the meta-heuristic methods. The MMG system used in this study consists of four generators and two MGs including RES. The ED problem has been considered for the systems with 2 MGs and without MG. For the cases with and without MGs, the costs were calculated as 94882.7 $/day and 108395.3 $/day, respectively. Thus, the operating cost of the system has been reduced by MMG. Also, MGs including RES, reduce emissions and increase reliability and power quality.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	268-272
Sayfa sayısı	5
ISBN (Elektronik)	9786050114379
DOI'lar	https://doi.org/10.23919/ELECO54474.2021.9677839
Yayın durumu	Yayınlandı - 2021
Etkinlik	13th International Conference on Electrical and Electronics Engineering, ELECO 2021 - Virtual, Bursa, Turkey Süre: 25 Kas 2021 → 27 Kas 2021

Yayın serisi

Adı	2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

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

???event.eventtypes.event.conference???	13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Ülke/Bölge	Turkey
Şehir	Virtual, Bursa
Periyot	25/11/21 → 27/11/21

Bibliyografik not

Publisher Copyright:
© 2021 Chamber of Turkish Electrical Engineers.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 7 Erişilebilir ve Temiz Enerji

Belgeye Erişim

10.23919/ELECO54474.2021.9677839

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Aydin, E., Purlu, M., & Turkay, B. E. (2021). Economic Dispatch of Multi-Microgrid Systems by Using Particle Swarm Optimization. In 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 (pp. 268-272). (2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELECO54474.2021.9677839

Aydin, Esra ; Purlu, Mikail ; Turkay, Belgin Emre. / Economic Dispatch of Multi-Microgrid Systems by Using Particle Swarm Optimization. 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 268-272 (2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021).

@inproceedings{81eabee5db244502a8cc8b03586ea09e,

title = "Economic Dispatch of Multi-Microgrid Systems by Using Particle Swarm Optimization",

abstract = "This paper focuses on the economic dispatch (ED) problem of the multi-microgrid (MMG) system with renewable energy sources (RES). The ED problem provides an optimum cost schedule, considering the constraints of the system. In this study, ED has been solved by Particle Swarm Optimization (PSO) method, which is one of the meta-heuristic methods. The MMG system used in this study consists of four generators and two MGs including RES. The ED problem has been considered for the systems with 2 MGs and without MG. For the cases with and without MGs, the costs were calculated as 94882.7 \$/day and 108395.3 \$/day, respectively. Thus, the operating cost of the system has been reduced by MMG. Also, MGs including RES, reduce emissions and increase reliability and power quality.",

author = "Esra Aydin and Mikail Purlu and Turkay, \{Belgin Emre\}",

note = "Publisher Copyright: {\textcopyright} 2021 Chamber of Turkish Electrical Engineers.; 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 ; Conference date: 25-11-2021 Through 27-11-2021",

year = "2021",

doi = "10.23919/ELECO54474.2021.9677839",

language = "English",

series = "2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021",

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

pages = "268--272",

booktitle = "2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021",

address = "United States",

}

Aydin, E, Purlu, M & Turkay, BE 2021, Economic Dispatch of Multi-Microgrid Systems by Using Particle Swarm Optimization. in 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021, Institute of Electrical and Electronics Engineers Inc., pp. 268-272, 13th International Conference on Electrical and Electronics Engineering, ELECO 2021, Virtual, Bursa, Turkey, 25/11/21. https://doi.org/10.23919/ELECO54474.2021.9677839

Economic Dispatch of Multi-Microgrid Systems by Using Particle Swarm Optimization. / Aydin, Esra; Purlu, Mikail; Turkay, Belgin Emre.
2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 268-272 (2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Economic Dispatch of Multi-Microgrid Systems by Using Particle Swarm Optimization

AU - Aydin, Esra

AU - Purlu, Mikail

AU - Turkay, Belgin Emre

PY - 2021

Y1 - 2021

N2 - This paper focuses on the economic dispatch (ED) problem of the multi-microgrid (MMG) system with renewable energy sources (RES). The ED problem provides an optimum cost schedule, considering the constraints of the system. In this study, ED has been solved by Particle Swarm Optimization (PSO) method, which is one of the meta-heuristic methods. The MMG system used in this study consists of four generators and two MGs including RES. The ED problem has been considered for the systems with 2 MGs and without MG. For the cases with and without MGs, the costs were calculated as 94882.7 $/day and 108395.3 $/day, respectively. Thus, the operating cost of the system has been reduced by MMG. Also, MGs including RES, reduce emissions and increase reliability and power quality.

AB - This paper focuses on the economic dispatch (ED) problem of the multi-microgrid (MMG) system with renewable energy sources (RES). The ED problem provides an optimum cost schedule, considering the constraints of the system. In this study, ED has been solved by Particle Swarm Optimization (PSO) method, which is one of the meta-heuristic methods. The MMG system used in this study consists of four generators and two MGs including RES. The ED problem has been considered for the systems with 2 MGs and without MG. For the cases with and without MGs, the costs were calculated as 94882.7 $/day and 108395.3 $/day, respectively. Thus, the operating cost of the system has been reduced by MMG. Also, MGs including RES, reduce emissions and increase reliability and power quality.

UR - https://www.scopus.com/pages/publications/85125251842

U2 - 10.23919/ELECO54474.2021.9677839

DO - 10.23919/ELECO54474.2021.9677839

M3 - Conference contribution

AN - SCOPUS:85125251842

T3 - 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

SP - 268

EP - 272

BT - 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

Y2 - 25 November 2021 through 27 November 2021

ER -

Aydin E, Purlu M, Turkay BE. Economic Dispatch of Multi-Microgrid Systems by Using Particle Swarm Optimization. In 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 268-272. (2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021). doi: 10.23919/ELECO54474.2021.9677839

Economic Dispatch of Multi-Microgrid Systems by Using Particle Swarm Optimization

Özet

Yayın serisi

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Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

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