Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems
(2022) 7th IEEE Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022 In 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022 p.88-94- 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,... (More)
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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- author
- Javidsharifi, Mahshid ; Arabani, Hamoun Pourroshanfekr LU ; Kerekes, Tamas ; Sera, Dezso and Guerrero, Josep M.
- organization
- publishing date
- 2022
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- multi-microgrid systems, multi-objective optimization, power management, sensitivity analysis
- host publication
- 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022
- series title
- 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022
- pages
- 7 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 7th IEEE Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022
- conference location
- Paris, France
- conference dates
- 2022-08-24 - 2022-08-26
- external identifiers
-
- scopus:85141795196
- ISBN
- 9781665497398
- DOI
- 10.1109/RTSI55261.2022.9905218
- language
- English
- LU publication?
- yes
- id
- 95258762-0b8b-4cbd-94f6-56d3d8e6414c
- date added to LUP
- 2022-12-05 12:24:54
- date last changed
- 2023-11-06 23:56:12
@inproceedings{95258762-0b8b-4cbd-94f6-56d3d8e6414c,
abstract = {{<p>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.</p>}},
author = {{Javidsharifi, Mahshid and Arabani, Hamoun Pourroshanfekr and Kerekes, Tamas and Sera, Dezso and Guerrero, Josep M.}},
booktitle = {{2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022}},
isbn = {{9781665497398}},
keywords = {{multi-microgrid systems; multi-objective optimization; power management; sensitivity analysis}},
language = {{eng}},
pages = {{88--94}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation, RTSI 2022}},
title = {{Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems}},
url = {{http://dx.doi.org/10.1109/RTSI55261.2022.9905218}},
doi = {{10.1109/RTSI55261.2022.9905218}},
year = {{2022}},
}