Distributed microgrid state estimation using smart grid communications

Rana, M; Li, L; Su, S

Distributed microgrid state estimation using smart grid communications

Rana, M

Li, L

Su, S

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Publication Type:: Conference Proceeding
Citation:: Asia-Pacific Power and Energy Engineering Conference, APPEEC, 2016, 2016-January
Issue Date:: 2016-01-12

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Field	Value	Language
dc.contributor.author	Rana, M https://orcid.org/0000-0003-2317-6327	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.contributor.author	Su, S https://orcid.org/0000-0002-5720-8852	en_US
dc.date.available	2015-08-31	en_US
dc.date.issued	2016-01-12	en_US
dc.identifier.citation	Asia-Pacific Power and Energy Engineering Conference, APPEEC, 2016, 2016-January	en_US
dc.identifier.isbn	9781467381321	en_US
dc.identifier.issn	2157-4839	en_US
dc.identifier.uri	http://hdl.handle.net/10453/43266
dc.description.abstract	© 2015 IEEE. Recently, the renewable distributed energy resources (DERs) have become more and more popular due to carbon-free energy sources and environment-friendly electricity generation. Due to the intermittent power generation patterns, the smart grid has a strong requisite for an efficient communication infrastructure to facilitate estimating the DER states. Different from the traditional methods of centralised state estimation, we propose a distributed approach to microgrid state estimation based on the concatenated coding structure. In this framework, the DER state is treated as a dynamic outer code and the recursive systematic convolutional code is seen as a concatenated inner code for protection and redundancy in the system states. Furthermore, this paper proposes a distributed state estimation method. The simulation results show that the proposed method can successfully estimate the DER states.	en_US
dc.relation.ispartof	Asia-Pacific Power and Energy Engineering Conference, APPEEC	en_US
dc.relation.isbasedon	10.1109/APPEEC.2015.7380942	en_US
dc.title	Distributed microgrid state estimation using smart grid communications	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2016-January	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
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 Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2016-January	en_US

Abstract:

© 2015 IEEE. Recently, the renewable distributed energy resources (DERs) have become more and more popular due to carbon-free energy sources and environment-friendly electricity generation. Due to the intermittent power generation patterns, the smart grid has a strong requisite for an efficient communication infrastructure to facilitate estimating the DER states. Different from the traditional methods of centralised state estimation, we propose a distributed approach to microgrid state estimation based on the concatenated coding structure. In this framework, the DER state is treated as a dynamic outer code and the recursive systematic convolutional code is seen as a concatenated inner code for protection and redundancy in the system states. Furthermore, this paper proposes a distributed state estimation method. The simulation results show that the proposed method can successfully estimate the DER states.

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http://hdl.handle.net/10453/43266