**Reference:**

M. Picallo,
A. Anta, and
B. De Schutter,
"Efficient convex optimization for optimal PMU placement in large
distribution grids," *Proceedings of the 13th IEEE PowerTech
2019*, Milan, Italy, 6 pp., June 2019.

**Abstract:**

The small amount of measurements in distribution grids makes their
monitoring difficult. Topological observability may not be possible,
and thus, pseudo-measurements are needed to perform state estimation,
which is required to control elements such as distributed generation
or transformers at distribution grids. Therefore, we consider the
problem of optimal sensor placement to improve the state estimation
accuracy in large-scale, 3-phase coupled, unbalanced distribution
grids. This is an NP-hard optimization problem whose optimal solution
is unpractical to obtain for large networks. For that reason, we
develop a computationally efficient convex optimization algorithm to
compute a lower bound on the possible value of the optimal solution,
and thus check the gap between the bound and heuristic solutions. We
test the method on a large test feeder, the standard IEEE 8500-node,
to show the effectiveness of the approach.

Online version of the paper

Corresponding technical report: pdf file (537 KB)

@inproceedings{PicAnt:19-004,

author={M. Picallo and A. Anta and B. {D}e Schutter},

title={Efficient convex optimization for optimal {PMU} placement in large distribution grids},

booktitle={Proceedings of the 13th IEEE PowerTech 2019},

address={Milan, Italy},

month=jun,

year={2019},

doi={10.1109/PTC.2019.8810467}

}

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