Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems

Mahshid Javidsharifi; Hamoun Pourroshanfekr Arabani; Tamas Kerekes; Dezso Sera; Josep M. Guerrero

doi:10.1109/RTSI55261.2022.9905218

Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems

Mahshid Javidsharifi, Hamoun Pourroshanfekr Arabani, Tamas Kerekes, Dezso Sera, Josep M. Guerrero

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

1 Citationer (Scopus)

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Abstract

The multi-objective optimal power management of multi-microgrid systems is solved in this paper. Minimizing the total cost and emission of the system are considered as the objective functions. The multi-objective particle swarm optimization algorithm is applied on a multi-microgrid system that consists of four microgrids each includes diesel generators, wind turbines, photovoltaic units, battery, and local loads. The multi-microgrid system can exchange power with the electricity grid. Moreover, the adjacent microgrids in the multi-microgrid system can share power with each other. The impact of the variation of battery charging and discharging efficiency, the electricity price, the capacity of diesel generators and renewable-based units, the maximum exchangeable power between the multi-microgrid system and the electricity grid and the power sharing among adjacent microgrids on day-Ahead units' scheduling of multi-microgrid are evaluated through sensitivity analysis in simulation results.

Originalsprog	Engelsk
Titel	2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022
Antal sider	7
Forlag	IEEE
Publikationsdato	2022
Sider	88-94
ISBN (Elektronisk)	9781665497398
DOI	https://doi.org/10.1109/RTSI55261.2022.9905218
Status	Udgivet - 2022
Begivenhed	7th IEEE Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022 - Paris, Frankrig Varighed: 24 aug. 2022 → 26 aug. 2022

Konference

Konference	7th IEEE Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022
Land/Område	Frankrig
By	Paris
Periode	24/08/2022 → 26/08/2022
Sponsor	IEEE France Section, IEEE Region 8, Sorbonne University

Navn	IEEE Forum on Research and Technologies for Society and Industry Innovation (RTSI)
ISSN	2687-6817

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© 2022 IEEE.

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10.1109/RTSI55261.2022.9905218

Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid SystemsAccepteret manuskript, 699 KBLicens: CC BY 4.0

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Javidsharifi, Mahshid ; Arabani, Hamoun Pourroshanfekr ; Kerekes, Tamas et al. / Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems. 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022. IEEE, 2022. s. 88-94 (IEEE Forum on Research and Technologies for Society and Industry Innovation (RTSI)).

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title = "Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems",

abstract = "The multi-objective optimal power management of multi-microgrid systems is solved in this paper. Minimizing the total cost and emission of the system are considered as the objective functions. The multi-objective particle swarm optimization algorithm is applied on a multi-microgrid system that consists of four microgrids each includes diesel generators, wind turbines, photovoltaic units, battery, and local loads. The multi-microgrid system can exchange power with the electricity grid. Moreover, the adjacent microgrids in the multi-microgrid system can share power with each other. The impact of the variation of battery charging and discharging efficiency, the electricity price, the capacity of diesel generators and renewable-based units, the maximum exchangeable power between the multi-microgrid system and the electricity grid and the power sharing among adjacent microgrids on day-Ahead units' scheduling of multi-microgrid are evaluated through sensitivity analysis in simulation results.",

keywords = "multi-microgrid systems, multi-objective optimization, power management, sensitivity analysis",

author = "Mahshid Javidsharifi and Arabani, {Hamoun Pourroshanfekr} and Tamas Kerekes and Dezso Sera and Guerrero, {Josep M.}",

note = "Funding Information: This research was funded by the European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 812991. Publisher Copyright: {\textcopyright} 2022 IEEE.; 7th IEEE Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022 ; Conference date: 24-08-2022 Through 26-08-2022",

year = "2022",

doi = "10.1109/RTSI55261.2022.9905218",

language = "English",

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Javidsharifi, M, Arabani, HP, Kerekes, T, Sera, D & Guerrero, JM 2022, Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems. i 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022. IEEE, IEEE Forum on Research and Technologies for Society and Industry Innovation (RTSI), s. 88-94, 7th IEEE Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022, Paris, Frankrig, 24/08/2022. https://doi.org/10.1109/RTSI55261.2022.9905218

Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems. / Javidsharifi, Mahshid; Arabani, Hamoun Pourroshanfekr; Kerekes, Tamas et al.
2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022. IEEE, 2022. s. 88-94 (IEEE Forum on Research and Technologies for Society and Industry Innovation (RTSI)).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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AU - Kerekes, Tamas

AU - Sera, Dezso

AU - Guerrero, Josep M.

N1 - Funding Information: This research was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 812991. Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - The multi-objective optimal power management of multi-microgrid systems is solved in this paper. Minimizing the total cost and emission of the system are considered as the objective functions. The multi-objective particle swarm optimization algorithm is applied on a multi-microgrid system that consists of four microgrids each includes diesel generators, wind turbines, photovoltaic units, battery, and local loads. The multi-microgrid system can exchange power with the electricity grid. Moreover, the adjacent microgrids in the multi-microgrid system can share power with each other. The impact of the variation of battery charging and discharging efficiency, the electricity price, the capacity of diesel generators and renewable-based units, the maximum exchangeable power between the multi-microgrid system and the electricity grid and the power sharing among adjacent microgrids on day-Ahead units' scheduling of multi-microgrid are evaluated through sensitivity analysis in simulation results.

AB - The multi-objective optimal power management of multi-microgrid systems is solved in this paper. Minimizing the total cost and emission of the system are considered as the objective functions. The multi-objective particle swarm optimization algorithm is applied on a multi-microgrid system that consists of four microgrids each includes diesel generators, wind turbines, photovoltaic units, battery, and local loads. The multi-microgrid system can exchange power with the electricity grid. Moreover, the adjacent microgrids in the multi-microgrid system can share power with each other. The impact of the variation of battery charging and discharging efficiency, the electricity price, the capacity of diesel generators and renewable-based units, the maximum exchangeable power between the multi-microgrid system and the electricity grid and the power sharing among adjacent microgrids on day-Ahead units' scheduling of multi-microgrid are evaluated through sensitivity analysis in simulation results.

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BT - 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022

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T2 - 7th IEEE Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022

Y2 - 24 August 2022 through 26 August 2022

ER -

Javidsharifi M, Arabani HP, Kerekes T, Sera D, Guerrero JM. Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems. I 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022. IEEE. 2022. s. 88-94. (IEEE Forum on Research and Technologies for Society and Industry Innovation (RTSI)). doi: 10.1109/RTSI55261.2022.9905218

Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems

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