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State Estimation in Low-Observable Distribution Systems Using Matrix Completion

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Title:State Estimation in Low-Observable Distribution Systems Using Matrix Completion
Authors:Zhang, Yingchen
Bernstein, Andrey
Schmitt, Andreas
Yang, Rui
Keywords:Resilient Networks
Electric Energy Systems
distribution state-estimation, low observability, matrix completion, low rank matrices, nuclear norm
Date Issued:08 Jan 2019
Abstract:The need for distribution system state estimation is on the rise because of the increased penetration of distributed energy resources and flexible load. To manage the distribution systems in real time, operators need to firstly overcome the challenge of low observability in distribution systems. Also, because of the amount of data present from smart meters, distributed generation measurements, switches, etc., the ideal distribution state estimation methods need to be able to process heterogeneous data.
In this paper, an algorithm is developed for voltage phasor estimation in low-observability distribution systems. The algorithm is based on the matrix completion approach from signal processing. The traditional matrix completion formulation is augmented with power-flow constraints to improve results while requiring less data. This method can also use all types of measurements (voltage magnitude, voltage angle, real power, reactive power) to complete the state matrix.
Pages/Duration:7 pages
URI:http://hdl.handle.net/10125/59791
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.429
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Resilient Networks


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