Application of Robust PCA with a structured outlier matrix to topology estimation in power grids

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Chrétien, Stéphane and Clarkson, Paul and Garcia, Maria Segovia (2018) Application of Robust PCA with a structured outlier matrix to topology estimation in power grids. International Journal of Electrical Power and Energy Systems, 100. pp. 559-564. ISSN 0142-0615 (https://doi.org/10.1016/j.ijepes.2018.02.003)

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Abstract

Robust PCA is a widely used technique for Principal Component Analysis when the data is corrupted by outliers. The goal of the present short note is to report on the performance results of a simple modification of the method of Netrapali et al. for estimating Low Rank + Sparse models where the sparse matrix has the structure of a tree. We demonstrate the efficiency of the approach on the problem of estimating the topology in power grid networks.

ORCID iDs

Chrétien, Stéphane, Clarkson, Paul and Garcia, Maria Segovia ORCID logoORCID: https://orcid.org/0000-0002-9210-3175;
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