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

• Published in: MedPower 2014 p. 56
• Main Authors: Manousakis, N.M, Korres, G.N
• Format: Conference Proceeding
• Language: English
• 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
• ISBN: 1785611461; 9781785611469
• DOI: 10.1049/cp.2014.1689

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.