Multi-Energy Microgrids Incorporating EV Integration: Optimal Design and Resilient Operation

Masrur, H; Shafie-Khah, M; Hossain, MJ; Senjyu, T

Multi-Energy Microgrids Incorporating EV Integration: Optimal Design and Resilient Operation

Masrur, H Shafie-Khah, M Hossain, MJ Senjyu, T

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Smart Grid, 2022, 13, (5), pp. 3508-3518
Issue Date:: 2022-09-01

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Field	Value	Language
dc.contributor.author	Masrur, H
dc.contributor.author	Shafie-Khah, M
dc.contributor.author	Hossain, MJ
dc.contributor.author	Senjyu, T
dc.date.accessioned	2023-04-05T04:18:48Z
dc.date.available	2023-04-05T04:18:48Z
dc.date.issued	2022-09-01
dc.identifier.citation	IEEE Transactions on Smart Grid, 2022, 13, (5), pp. 3508-3518
dc.identifier.issn	1949-3053
dc.identifier.issn	1949-3061
dc.identifier.uri	http://hdl.handle.net/10453/169181
dc.description.abstract	There are numerous opportunities and challenges in integrating multiple energy sources, for example, electrical, heat, and electrified transportation. The operation of multi-energy sources needs to be coordinated and optimized to achieve maximum benefits and reliability. To address the electrical, thermal, and transportation electrification energy demands in a sustainable and environmentally friendly multi-energy microgrid, this paper presents a mixed integer linear optimization model that determines an optimized blend of energy sources (battery, combined heat and power units, thermal energy storage, gas boiler, and photovoltaic generators), size, and associated dispatch. The proposed energy management system seeks to minimize total annual expenses while simultaneously boosting system resilience during extended grid outages, based on an hourly electrical and thermal load profile. This approach has been tested in a hospital equipped with an EV charging station in Okinawa, Japan through several case studies. Following a M1/M2/c queuing model, the proposed grid-tied microgrid successfully integrates EVs into the system and assures continued and economic power supply even during grid failures in different weather conditions.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Smart Grid
dc.relation.isbasedon	10.1109/TSG.2022.3168687
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering, 0915 Interdisciplinary Engineering
dc.title	Multi-Energy Microgrids Incorporating EV Integration: Optimal Design and Resilient Operation
dc.type	Journal Article
utslib.citation.volume	13
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0915 Interdisciplinary Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-05T04:18:46Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	13
utslib.citation.issue	5

Abstract:

There are numerous opportunities and challenges in integrating multiple energy sources, for example, electrical, heat, and electrified transportation. The operation of multi-energy sources needs to be coordinated and optimized to achieve maximum benefits and reliability. To address the electrical, thermal, and transportation electrification energy demands in a sustainable and environmentally friendly multi-energy microgrid, this paper presents a mixed integer linear optimization model that determines an optimized blend of energy sources (battery, combined heat and power units, thermal energy storage, gas boiler, and photovoltaic generators), size, and associated dispatch. The proposed energy management system seeks to minimize total annual expenses while simultaneously boosting system resilience during extended grid outages, based on an hourly electrical and thermal load profile. This approach has been tested in a hospital equipped with an EV charging station in Okinawa, Japan through several case studies. Following a M1/M2/c queuing model, the proposed grid-tied microgrid successfully integrates EVs into the system and assures continued and economic power supply even during grid failures in different weather conditions.

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http://hdl.handle.net/10453/169181