Optimal placement of PMUS considering SCADA measurements and fixed channel capacity by semidefinite programming

This paper presents a semidefinite programming (SDP) formulation with binary decision variables, for the optimal placement of phasor measurement units (PMU), considering the existence of conventional measurements and the impact of limited channel capacity (OPP-LCC). The proposed problem minimizes a...

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Bibliographic Details
Published inIET Conference Proceedings p. 56
Main Authors Manousakis, N.M, Korres, G.N
Format Conference Proceeding
LanguageEnglish
Published Stevenage, UK IET 2014
The Institution of Engineering & Technology
Subjects
Algebra
Combinatorial mathematics
Computerised instrumentation
Data acquisition systems
Electric and magnetic variables measurement methods
Optimisation techniques
Power system measurement and metering
SCADA measurement
OPP-LCC
channel capacity
computerised instrumentation
mathematical programming
binary decision variable
semidefinite programming
linear objective function
binary decision diagrams
phasor measurement unit
linear matrix inequality observability constraint
LMI observability constraint
linear matrix inequalities
SCADA systems
PMU
Matlab-based SDP software
optimal placement
IEEE system
phasor measurement
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Summary:This paper presents a semidefinite programming (SDP) formulation with binary decision variables, for the optimal placement of phasor measurement units (PMU), considering the existence of conventional measurements and the impact of limited channel capacity (OPP-LCC). The proposed problem minimizes a linear objective function subject to linear matrix inequality (LMI) observability constraints. Simulations, using a Matlab-based SDP software, are conducted on different IEEE systems to prove the validity of the proposed method.
ISBN:1785611461
9781785611469
DOI:10.1049/cp.2014.1689