Optimal Sensor Placement for Hybrid State Estimation in Smart Grid

Li, X., Scaglione, A., Chang, T-H
Citation:

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5253,5257, 26-31 May 2013.

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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.

Publication Status:
Published
Publication Type:
Proceedings
Publication Date:
05/26/2013
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