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.
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BibTeX
@inproceedings{PicAnt:19-004,
author = {Picallo, Miguel and Anta, Adolfo and De Schutter, Bart},
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}
}