PMU Placement Optimization for Efficient State Estimation in Smart Grid

Shi, Y; Tuan, HD; Duong, TQ; Poor, HV; Savkin, AV

PMU Placement Optimization for Efficient State Estimation in Smart Grid

Shi, Y

Tuan, HD

Duong, TQ Poor, HV Savkin, AV

Permalink

Publication Type:: Journal Article
Citation:: IEEE Journal on Selected Areas in Communications, 2020, 38 (1), pp. 71 - 83
Issue Date:: 2020-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

The embargo period expires on 6 Nov 2021

Adobe PDF

Download Accepted Manuscript VersionAdobe PDF (615.53 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Shi, Y https://orcid.org/0000-0003-2302-4980	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Duong, TQ	en_US
dc.contributor.author	Poor, HV	en_US
dc.contributor.author	Savkin, AV	en_US
dc.date.issued	2020-01-01	en_US
dc.identifier.citation	IEEE Journal on Selected Areas in Communications, 2020, 38 (1), pp. 71 - 83	en_US
dc.identifier.issn	0733-8716	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138629
dc.description.abstract	© 1983-2012 IEEE. This paper investigates phasor measurement unit (PMU) placement for informative state estimation in smart grid by incorporating various constraints for observability. Observability constitutes an important property for PMU placement to characterize the depth of the buses' reachability by the placed PMUs, but addressing it solely by binary linear programming as in many works still does not guarantee a good estimate for the grid state. Some existing works have considered optimization of some estimation indices by ignoring the observability requirements for computational ease and thus potentially lead to trivial results such as acceptance of the estimate for an unobserved state component as its unconditional mean. In this work, the PMU placement optimization problem is considered by minimizing the mean squared error or maximizing the mutual information between the measurement output and grid state subject to observability constraints, which incorporate operating conditions such as presence of zero injection buses, contingency of measurement loss, and limitation of communication channels per PMU. The proposed design is thus free from the fundamental shortcomings in the existing PMU placement designs. The problems are posed as large scale binary nonlinear optimization problems involving thousands of binary variables, for which this paper develops efficient algorithms for computational solutions. Their performance is analyzed in detail through numerical examples on large scale IEEE power networks. The solution method is also shown to be extendable to AC power flow models, which are formulated by nonlinear equations.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP190102501
dc.relation.ispartof	IEEE Journal on Selected Areas in Communications	en_US
dc.relation.isbasedon	10.1109/JSAC.2019.2951969	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	PMU Placement Optimization for Efficient State Estimation in Smart Grid	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	38	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0906 Electrical and Electronic Engineering	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/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-11-06T00:00:00+1100
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	38	en_US

Abstract:

© 1983-2012 IEEE. This paper investigates phasor measurement unit (PMU) placement for informative state estimation in smart grid by incorporating various constraints for observability. Observability constitutes an important property for PMU placement to characterize the depth of the buses' reachability by the placed PMUs, but addressing it solely by binary linear programming as in many works still does not guarantee a good estimate for the grid state. Some existing works have considered optimization of some estimation indices by ignoring the observability requirements for computational ease and thus potentially lead to trivial results such as acceptance of the estimate for an unobserved state component as its unconditional mean. In this work, the PMU placement optimization problem is considered by minimizing the mean squared error or maximizing the mutual information between the measurement output and grid state subject to observability constraints, which incorporate operating conditions such as presence of zero injection buses, contingency of measurement loss, and limitation of communication channels per PMU. The proposed design is thus free from the fundamental shortcomings in the existing PMU placement designs. The problems are posed as large scale binary nonlinear optimization problems involving thousands of binary variables, for which this paper develops efficient algorithms for computational solutions. Their performance is analyzed in detail through numerical examples on large scale IEEE power networks. The solution method is also shown to be extendable to AC power flow models, which are formulated by nonlinear equations.

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

http://hdl.handle.net/10453/138629