Microgrid Optimal Investment Design for Cotton Farms in Australia

Lin, Y; Wang, J; Zhang, J; Li, L

Microgrid Optimal Investment Design for Cotton Farms in Australia

Lin, Y Wang, J Zhang, J Li, L

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Publisher:: SPRINGERNATURE
Publication Type:: Journal Article
Citation:: Smart Grids and Sustainable Energy, 2024, 9, (1)
Issue Date:: 2024-03-01

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Field	Value	Language
dc.contributor.author	Lin, Y
dc.contributor.author	Wang, J
dc.contributor.author	Zhang, J
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216
dc.date.accessioned	2025-04-07T04:24:21Z
dc.date.available	2025-04-07T04:24:21Z
dc.date.issued	2024-03-01
dc.identifier.citation	Smart Grids and Sustainable Energy, 2024, 9, (1)
dc.identifier.issn	2731-8087
dc.identifier.issn	2731-8087
dc.identifier.uri	http://hdl.handle.net/10453/186743
dc.description.abstract	Microgrids (MGs) and distributed renewable energy sources (RESs) have been widely used in Australian agriculture. Because of the irrigation characteristics of cotton plants and the intermittent power generation of RES, the cotton farm MG design problem has become challenging. To optimally design the renewable energy systems of cotton farm MGs, one should consider the energy cost of cotton irrigation, total investment cost and simple payback period simultaneously. This paper proposes an optimization model for the cotton farm MG design, which can identify the best RESs and energy storage configuration to meet the irrigation demand. In addition, the designed MG uses solar photovoltaic units and wind turbine generators as RES, which are further aided by battery storage to maintain energy supply at the least cost. The objectives of MG design include minimization of operation cost, investment cost and a simple payback period, which is formulated as a normalized multi-objective function.
dc.language	English
dc.publisher	SPRINGERNATURE
dc.relation.ispartof	Smart Grids and Sustainable Energy
dc.relation.isbasedon	10.1007/s40866-023-00184-z
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the version of record and does not reflect post-acceptance improvements, or any corrections. The version of record is available online at: http://dx.doi.org/10.1007/s40866-023-00184-z
dc.title	Microgrid Optimal Investment Design for Cotton Farms in Australia
dc.type	Journal Article
utslib.citation.volume	9
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	open_access	*
dc.date.updated	2025-04-07T04:24:19Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	9
utslib.citation.issue	1

Abstract:

Microgrids (MGs) and distributed renewable energy sources (RESs) have been widely used in Australian agriculture. Because of the irrigation characteristics of cotton plants and the intermittent power generation of RES, the cotton farm MG design problem has become challenging. To optimally design the renewable energy systems of cotton farm MGs, one should consider the energy cost of cotton irrigation, total investment cost and simple payback period simultaneously. This paper proposes an optimization model for the cotton farm MG design, which can identify the best RESs and energy storage configuration to meet the irrigation demand. In addition, the designed MG uses solar photovoltaic units and wind turbine generators as RES, which are further aided by battery storage to maintain energy supply at the least cost. The objectives of MG design include minimization of operation cost, investment cost and a simple payback period, which is formulated as a normalized multi-objective function.

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http://hdl.handle.net/10453/186743