# Guaranteed Phase & Topology Identification in Three Phase Distribution Grids

@article{Bariya2020GuaranteedP, title={Guaranteed Phase \& Topology Identification in Three Phase Distribution Grids}, author={Mohini Bariya and Deepjyoti Deka and Alexandra von Meier}, journal={IEEE Transactions on Smart Grid}, year={2020}, volume={12}, pages={3605-3612} }

We present a method for joint phase identification and topology recovery in unbalanced three phase radial networks using only voltage measurements. By recovering phases and topology jointly, we utilize all three phase voltage measurements and can handle networks where some buses have a subset of three phases. Our method is theoretically justified by a novel linearized formulation of unbalanced three phase power flow and makes precisely defined and reasonable assumptions on line impedances and…

## 6 Citations

### Distribution Network Topology Identification Method Based on Knowledge Graph

- Mathematics, Engineering2022 China International Conference on Electricity Distribution (CICED)
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Accurate topology is the basis for refined management of the distribution network. In order to make full use of the data available in the distribution network when the topology identification work is…

### Virtual Voltage Measurements via Averaging for Phase Identification in Power Distribution Systems

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—Unveiling feeder topologies from data is of paramount importance to advance situational awareness and proper utilization of smart resources in power distribution grids. This tutorial summarizes,…

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### Distribution Systems AC State Estimation via Sparse AMI Data Using Graph Signal Processing

- Computer ScienceIEEE Transactions on Smart Grid
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This work establishes and validates a Grid Graph Signal Processing framework for estimating the state vector of a radial distribution feeder using a GSP interpretation of Ohm's law and shows that the system state can be well approximated with relatively few components that correspond to low-pass Graph Fourier Transform (GFT) frequencies.

### Denoising with Singular Value Decomposition for Phase Identification in Power Distribution Systems

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Singular Value Decomposition with the optimal Singular Value Hard Threshold (SVHT) as part of a feature engineering pipeline to denoise data matrices of voltage magnitude measurements to reduce Frobenius error and increase the average phase identification accuracy.

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