Paper Info
Title
Optimal sensor placement for hybrid state estimation in smart grid
Abstract
A critical task in smart grid is to gain situational awareness by performing state estimation. In this paper, we consider the problem of placing a type of special sensors, called Phasor Measurement Units (PMU), to optimize the performance and convergence of state estimation. We derive a metric to evaluate how the placement impacts the convergence and accuracy of state estimation solved by Gauss-Newton (GN) algorithm. Using the proposed metric, we formulate and solve the placement problem as a semi-definite program (SDP). Simulations of the IEEE 30 and 118 systems corroborate our analysis, showing that the proposed placement stabilizes and accelerates state estimation, while maintaining optimal estimation performance.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638665
ICASSP
Keywords
Field
DocType
optimal placement,phasor measurement units,state estimation,optimal sensor placement,hybrid state estimation,estimation,newton method,phasor measurement,ieee 30 systems,convergence,semidefinite program,gaussian processes,gauss-newton algorithm,sdp,smart grid,pmu,ieee 118 systems,accuracy,observability,power systems
Convergence (routing),Units of measurement,Mathematical optimization,Observability,Smart grid,Computer science,Control theory,Phasor,Electric power system,Optimal estimation,Gauss–Newton algorithm
Conference
ISSN
Citations 
PageRank 
1520-6149
2
0.41
References 
Authors
4
3
Name
Order
Citations
PageRank
Xiao Li1222.56
Anna Scaglione22559225.41
Tsung-Hui Chang3114272.18