IoT-Based state estimation for microgrids

Rana, MM; Xiang, W; Wang, E

IoT-Based state estimation for microgrids

Rana, MM

Xiang, W Wang, E

Permalink

Publication Type:: Journal Article
Citation:: IEEE Internet of Things Journal, 2018, 5 (2), pp. 1345 - 1346
Issue Date:: 2018-04-01

Closed Access

	Filename	Description	Size
	08255584.pdf	Published Version	394.87 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Rana, MM https://orcid.org/0000-0003-2317-6327	en_US
dc.contributor.author	Xiang, W	en_US
dc.contributor.author	Wang, E	en_US
dc.date.issued	2018-04-01	en_US
dc.identifier.citation	IEEE Internet of Things Journal, 2018, 5 (2), pp. 1345 - 1346	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132091
dc.description.abstract	© 2018 IEEE. In contrast to traditional centralized estimation methods, this letter proposes a distributed dynamic state estimation method for microgrids incorporating distributed energy resources. Specifically, distributed filter structure is designed in an interconnected way, where packet losses obviously occur between them. Then the error function is written in a compact form using the matrix property of the Kronecker product. Afterwards, it can be transformed into a linear matrix inequality. Finally, the local and neighboring gains for the distributed estimator are effectively computed after solving the convex optimization problem. Simulation result shows that the proposed method can well estimate the system state within 10 iterations.	en_US
dc.relation.ispartof	IEEE Internet of Things Journal	en_US
dc.relation.isbasedon	10.1109/JIOT.2018.2793162	en_US
dc.title	IoT-Based state estimation for microgrids	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	5	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	1005 Communications Technologies	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/Students
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	5	en_US

Abstract:

© 2018 IEEE. In contrast to traditional centralized estimation methods, this letter proposes a distributed dynamic state estimation method for microgrids incorporating distributed energy resources. Specifically, distributed filter structure is designed in an interconnected way, where packet losses obviously occur between them. Then the error function is written in a compact form using the matrix property of the Kronecker product. Afterwards, it can be transformed into a linear matrix inequality. Finally, the local and neighboring gains for the distributed estimator are effectively computed after solving the convex optimization problem. Simulation result shows that the proposed method can well estimate the system state within 10 iterations.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/132091