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

Department of Electrical Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

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.

Original language	English
Title of host publication	2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	268-272
Number of pages	5
ISBN (Electronic)	9786050114379
DOIs	https://doi.org/10.23919/ELECO54474.2021.9677839
Publication status	Published - 2021
Event	13th International Conference on Electrical and Electronics Engineering, ELECO 2021 - Virtual, Bursa, Turkey Duration: 25 Nov 2021 → 27 Nov 2021

Publication series

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

Conference

Conference	13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Country/Territory	Turkey
City	Virtual, Bursa
Period	25/11/21 → 27/11/21

Bibliographical note

Publisher Copyright:
© 2021 Chamber of Turkish Electrical Engineers.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.23919/ELECO54474.2021.9677839

Cite this

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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this