Co-Optimization of the Sizing and Dispatch of Microgrids Considering Vehicle-to-Grid and Arbitrage

Mohseni, S; Brent, AC

Co-Optimization of the Sizing and Dispatch of Microgrids Considering Vehicle-to-Grid and Arbitrage

Mohseni, S

Brent, AC

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2023, 2022-November, pp. 1-7
Issue Date:: 2023-03-27

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Field	Value	Language
dc.contributor.author	Mohseni, S https://orcid.org/0000-0001-7367-3757
dc.contributor.author	Brent, AC
dc.date	2022-11-20
dc.date.accessioned	2024-01-03T02:47:08Z
dc.date.available	2024-01-03T02:47:08Z
dc.date.issued	2023-03-27
dc.identifier.citation	2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2023, 2022-November, pp. 1-7
dc.identifier.isbn	978-1-6654-6738-4
dc.identifier.issn	2157-4839
dc.identifier.issn	2157-4847
dc.identifier.uri	http://hdl.handle.net/10453/173942
dc.description.abstract	Failure to model the optimal microgrid dispatch strategy simultaneously to the system design has the potential to impair the economic viability of the system as a result of less predictability of the future operating states of the system That is the business as usual rule based heuristic operational decisions which use specifically devised fixed energy management frameworks and lack any foresight of future system conditions are prone to excessively oversizing the system resulting in increased cost or undersizing the system leading to poor reliability which respectively represent potentially over conservative or inadequate microgrid planning decisions In response this paper introduces a novel operational planning optimization formulation that determines the year long optimal multi component schedules over a moving one day horizon where dispatchable and non dispatchable distributed energy resources and vehicle to grid capacities are present in the system with the option to exchange energy with the wider utility grid Nesting the proposed optimal dispatch strategy into a standard metaheuristic based microgrid sizing model such that the optimal design and dispatch problems are decomposed into separate sub problems produces systematically coordinated investment planning long term and operational scheduling short term decisions that adequately value the operational benefits of arbitrage strategies by algorithmically seeking out minimum operational costs Importantly the simulation results from populating the proposed model for a hypothetical test case system indicate a significant 24 reduction in energy costs compared to the business as usual scenario
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC)
dc.relation.ispartof	IEEE PES Asia-Pacific Power and Energy Engineering Conference
dc.relation.ispartofseries	Asia-Pacific Power and Energy Engineering Conference
dc.relation.isbasedon	10.1109/appeec53445.2022.10072114
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Co-Optimization of the Sizing and Dispatch of Microgrids Considering Vehicle-to-Grid and Arbitrage
dc.type	Conference Proceeding
utslib.citation.volume	2022-November
utslib.location.activity	Melbourne, Australia
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2024-01-03T02:47:07Z
pubs.finish-date	2022-11-23
pubs.place-of-publication	Piscaatway, USA
pubs.publication-status	Published
pubs.start-date	2022-11-20
pubs.volume	2022-November
dc.location	Piscaatway, USA

Abstract:

Failure to model the optimal microgrid dispatch strategy simultaneously to the system design has the potential to impair the economic viability of the system as a result of less predictability of the future operating states of the system That is the business as usual rule based heuristic operational decisions which use specifically devised fixed energy management frameworks and lack any foresight of future system conditions are prone to excessively oversizing the system resulting in increased cost or undersizing the system leading to poor reliability which respectively represent potentially over conservative or inadequate microgrid planning decisions In response this paper introduces a novel operational planning optimization formulation that determines the year long optimal multi component schedules over a moving one day horizon where dispatchable and non dispatchable distributed energy resources and vehicle to grid capacities are present in the system with the option to exchange energy with the wider utility grid Nesting the proposed optimal dispatch strategy into a standard metaheuristic based microgrid sizing model such that the optimal design and dispatch problems are decomposed into separate sub problems produces systematically coordinated investment planning long term and operational scheduling short term decisions that adequately value the operational benefits of arbitrage strategies by algorithmically seeking out minimum operational costs Importantly the simulation results from populating the proposed model for a hypothetical test case system indicate a significant 24 reduction in energy costs compared to the business as usual scenario

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http://hdl.handle.net/10453/173942